J. Pearl

发表

The solution for the branching factor of the alpha-beta pruning algorithm and its optimality

Judea Pearl, J. Pearl, 1982, CACM.

Probabilistic evaluation of sequential plans from causal models with hidden variables

James M. Robins, Judea Pearl, J. Pearl, 1995, UAI.

On summarizing data using probabilistic assertions

Judea Pearl, J. Pearl, 1977, IEEE Trans. Inf. Theory.

Axioms and Algorithms for Inferences Involving Probabilistic Independence

Dan Geiger, Judea Pearl, Azaria Paz, 1991, Inf. Comput..

Transportability of Causal Effects: Completeness Results

Elias Bareinboim, Judea Pearl, J. Pearl, 2012, AAAI.

Studies in causal reasoning and learning

J. Pearl, Jin Tian, 2002 .

The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models

J. Pearl, 2011 .

Causal diagrams for empirical research

J. Pearl, 1995 .

Causality: Models, Reasoning and Inference

J. Pearl, 2000 .

Temporal Constraint Networks

Rina Dechter, Judea Pearl, Itay Meiri, 1989, Artif. Intell..

Causal networks: semantics and expressiveness

Judea Pearl, Tom S. Verma, J. Pearl, 2013, UAI.

CAUSATION, ACTION, AND COUNTERFACTUALS

Judea Pearl, J. Pearl, Morgan Kaufmann, 2004 .

[Bayesian Analysis in Expert Systems]: Comment: Graphical Models, Causality and Intervention

J. Pearl, 1993 .

Causal inference and the data-fusion problem

Elias Bareinboim, Judea Pearl, J. Pearl, 2016, Proceedings of the National Academy of Sciences.

Causal Inference in Statistics: A Primer

J. Pearl, M. Glymour, N. Jewell, 2016 .

An Axiomatic Characterization of Causal Counterfactuals

J. Pearl, D. Galles, 1998 .

Causal inference in statistics: An overview

J. Pearl, 2009 .

Generalizing Experimental Findings

J. Pearl, 2015 .

Causal inference in statistics

J. Pearl, M. Glymour, N. Jewell, 2016 .

A Theory of Inferred Causation

Judea Pearl, Thomas Verma, J. Pearl, 1991, KR.

Direct and Indirect Effects pdf

Judea Pearl, J. Pearl, 2001, UAI.

Symbolic Causal Networks for Reasoning about Actions and Plans

J. Pearl, Adnan Darwiche, 1994 .

From Imaging and Stochastic Control to a Calculus of Actions

J. Pearl, 1994 .

Counterfactual Data-Fusion for Online Reinforcement Learners

Elias Bareinboim, Judea Pearl, Andrew Forney, 2017, ICML.

Complete Identification Methods for the Causal Hierarchy

Judea Pearl, Ilya Shpitser, J. Pearl, 2008, J. Mach. Learn. Res..

Probabilistic reasoning in intelligent systems - networks of plausible inference

Judea Pearl, J. Pearl, 1991, Morgan Kaufmann series in representation and reasoning.

How to Do with Probabilities What People Say You Can't

Judea Pearl, J. Pearl, 1985, Conference on Artificial Intelligence Applications.

Fusion, Propagation, and Structuring in Belief Networks

Judea Pearl, J. Pearl, 1986, Artif. Intell..

From Conditional Oughts to Qualitative Decision Theory

Judea Pearl, J. Pearl, 1993, UAI.

Graphs, Causality, and Structural Equation Models

J. Pearl, 1998 .

ON THE CONNECTION BETWEEN THE COMPLEXITY AND CREDIBILITY OF INFERRED MODELS

Judea Pearl, J. Pearl, 1978 .

Comparison of the cosine and Fourier transforms of Markov-1 signals

J. Pearl, M. Hamidi, 1976 .

The Book of Why: The New Science of Cause and Effect

J. Pearl, D. Mackenzie, 2018 .

Probabilistic reasoning in intelligent systems

Judea Pearl, J. Pearl, 1988 .

The Causal Foundations of Structural Equation Modeling

J. Pearl, 2012 .

3. The Foundations of Causal Inference

J. Pearl, 2010 .

Confounding and Collapsibility in Causal Inference

J. Pearl, J. Robins, S. Greenland, 1999 .

On the Testable Implications of Causal Models with Hidden Variables pdf

Jin Tian, Judea Pearl, J. Pearl, 2002, UAI.

On the Nature of Pathology in Game Searching

Judea Pearl, J. Pearl, 1983, Artif. Intell..

Graphical Models, Causality, and Intervention

J. Pearl, 2011 .

Logical and Algorithmic Properties of Conditional Independence and Graphical Models

J. Pearl, D. Geiger, 1993 .

Recoverability and Testability of Missing Data: Introduction and Summary of Results

Judea Pearl, Karthika Mohan, J. Pearl, 2013 .

Missing Data as a Causal Inference Problem

J. Pearl, K. Mohan, T. Jin, 2013 .

Evidential Reasoning Using Stochastic Simulation of Causal Models

Judea Pearl, J. Pearl, 1987, Artif. Intell..

Invited commentary: understanding bias amplification.

J. Pearl, 2011, American journal of epidemiology.

Bounds on Direct Effects in the Presence of Confounded Intermediate Variables

J. Pearl, Manabu Kuroki, Zhihong Cai, 2008, Biometrics.

Detecting Latent Heterogeneity

J. Pearl, 2013, Probabilistic and Causal Inference.

Bounds on Treatment Effects from Studies with Imperfect Compliance

J. Pearl, Alexander Balke, 1997 .

The optimality of A

Rina Dechter, Judea Pearl, J. Pearl, 1988 .

SCOUT: A Simple Game-Searching Algorithm with Proven Optimal Properties

Judea Pearl, J. Pearl, 1980, AAAI.

Graphical Models for Probabilistic and Causal Reasoning

Judea Pearl, J. Pearl, 1997, The Computer Science and Engineering Handbook.

Is Scientific Knowledge Useful for Policy Analysis? A Peculiar Theorem Says: No

J. Pearl, 2014 .

Identifying Independencies in Causal Graphs with Feedback pdf

Rina Dechter, Judea Pearl, J. Pearl, 1996, UAI.

On Two Pseudo-Paradoxes in Bayesian Analysis

Judea Pearl, J. Pearl, 2001, Annals of Mathematics and Artificial Intelligence.

Specificity and Inheritance in Default Reasoning

Judea Pearl, Sek-Wah Tan, J. Pearl, 1995, IJCAI.

On the Logic of Iterated Belief Revision

J. Pearl, Adnan Darwiche, 1994, Artif. Intell..

Heuristics : intelligent search strategies for computer problem solving

Judea Pearl, J. Pearl, 1984 .

Capacity and Error Estimates for Boolean Classifiers with Limited Complexity

Judea Pearl, J. Pearl, 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Random geometric graphs: an algorithmic perspective

J. Pearl, D. Estrin, C. Avin, 2006 .

Effects of Treatment on the Treated: Identification and Generalization

J. Pearl, I. Shpitser, 2009, UAI.

Causal Counterfactual Theory for the Attribution of Weather and Climate-Related Events

J. Pearl, M. Ghil, P. Naveau, 2016 .

Jeffrey's Rule, Passage of Experience, and Neo-Bayesianism

J. Pearl, 1990 .

Readings in Uncertain Reasoning

Glenn Shafer, Judea Pearl, J. Pearl, 1990 .

Identifying independence in bayesian networks

Dan Geiger, Judea Pearl, Thomas Verma, 1990, Networks.

Searching for an Optimal Path in a Tree with Random Costs

Richard M. Karp, Judea Pearl, J. Pearl, 1983, Artif. Intell..

Causal diagrams for empirical researchRejoinder to Discussions of ‘Causal diagrams for empirical research’

J. Pearl, 1995 .

Chapter 2 – BAYESIAN INFERENCE

Judea Pearl, J. Pearl, 1988 .

Tree Clustering for Constraint Networks

Rina Dechter, Judea Pearl, J. Pearl, 1989, Artif. Intell..

Convince: A Conversational Inference Consolidation Engine

Judea Pearl, Jin H. Kim, J. Pearl, 1987, IEEE Transactions on Systems, Man, and Cybernetics.

Causal and diagnostic inferences: A comparison of validity

J. Pearl, Michael J. Burns, 1981 .

Equivalence and Synthesis of Causal Models

Judea Pearl, Thomas Verma, J. Pearl, 1990, UAI.

The Logic of Representing Dependencies by Directed Graphs

Judea Pearl, Thomas Verma, J. Pearl, 1987, AAAI.

GRAPHOIDS: Graph-Based Logic for Reasoning about Relevance Relations OrWhen Would x Tell You More about y If You Already Know z?

Judea Pearl, Azaria Paz, J. Pearl, 1986, ECAI.

On the Testability of Causal Models With Latent and Instrumental Variables

Judea Pearl, J. Pearl, 1995, UAI.

A Computational Model for Causal and Diagnostic Reasoning in Inference Systems

Judea Pearl, Jin H. Kim, J. Pearl, 1983, IJCAI.

On Evidential Reasoning in a Hierarchy of Hypotheses

Judea Pearl, J. Pearl, 1990, Artif. Intell..

A Constraint-Propagation Approach to Probabilistic Reasoning

Judea Pearl, J. Pearl, 1985, UAI.

On logic and probability

Judea Pearl, J. Pearl, 1988, Comput. Intell..

Generalized best-first search strategies and the optimality of A*

Rina Dechter, Judea Pearl, J. Pearl, 1985, JACM.

Network-Based Heuristics for Constraint-Satisfaction Problems

Rina Dechter, Judea Pearl, J. Pearl, 1987, Artif. Intell..

The Deductive Approach to Causal Inference

J. Pearl, 2014 .

Remarks on the method of propensity score

J. Pearl, 2009, Statistics in medicine.

Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach

Judea Pearl, J. Pearl, 1982, AAAI.

Counterfactual Probabilities: Computational Methods, Bounds and Applications

Judea Pearl, Alexander Balke, J. Pearl, 1994, UAI.

Measurement bias and effect restoration in causal inference

J. Pearl, Manabu Kuroki, 2014 .

Comment on ‘Causal inference, probability theory, and graphical insights’ by Stuart G. Baker

Judea Pearl, J. Pearl, 2013, Statistics in medicine.

Simpson's Paradox: An Anatomy

J. Pearl, 2011 .

Why there is no statistical test for confounding, why many think there is, and why they are almost right

J. Pearl, 1998 .

TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUS

J. Pearl, 2013, Econometric Theory.

The International Journal of Biostatistics Principal Stratification — a Goal or a Tool ?

J. Pearl, 2011 .

Myth, Confusion, and Science in Causal Analysis

J. Pearl, 2009 .

Directed Constraint Networks: A Relational Framework for Causal Modeling

Rina Dechter, Judea Pearl, J. Pearl, 1991, IJCAI.

Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models

Judea Pearl, Ilya Shpitser, J. Pearl, 2006, AAAI.

Reasoning Under Uncertainty

Judea Pearl, J. Pearl, 1990 .

A statistical semantics for causation

J. Pearl, Thomas Verma, 1992 .

On probability intervals

J. Pearl, 1988, Int. J. Approx. Reason..

Belief Networks Revisited

Judea Pearl, J. Pearl, 1993, Artif. Intell..

Statistics and causal inference: A review

J. Pearl, 2003 .

Understanding Simpson's Paradox

J. Pearl, 2013 .

Comment: Understanding Simpson’s Paradox

J. Pearl, 2013, Probabilistic and Causal Inference.

Causal Inference in Statistics: an Introduction

J. Pearl, 2022 .

Causal diagrams for epidemiologic research.

J. Pearl, J. Robins, S. Greenland, 1999, Epidemiology.

A New Identification Condition for Recursive Models With Correlated Errors

J. Pearl, Carlos Brito, 2002 .

Causality in the Social and Behavioral Sciences

J. Pearl, 2010 .

Evidential reasoning under uncertainty

J. Pearl, 1988 .

Learning simple causal structures

J. Pearl, D. Geiger, A. Paz, 1993 .

GRAPHS , CAUSALITY

J. Pearl, 1998 .

On the Identification of Nonparametric Structural Models

J. Pearl, 1997 .

A Causal Calculus for Statistical Research 3.1 Introduction

J. Pearl, D. Fisher, H. Lenz, 1996 .

A Causal Calculus (draft Copy)

J. Pearl, 2022 .

EIGHT MYTHS ABOUT CAUSALITY AND STRUCTURAL EQUATION MODELS

J. Pearl, K. Bollen, 2013 .

Eight Myths About Causality and Structural Models

J. Pearl, K. Bollen, 2012 .

Discussing and Displaying the Effectiveness of Causal Models for Observational Studies

J. Pearl, 2003 .

The Causal Mediation Formula—A Guide to the Assessment of Pathways and Mechanisms

J. Pearl, 2012, Prevention Science.

Bayesianism and Causality, or, Why I am Only a Half-Bayesian

J. Pearl, 2001 .

Conditioning on Post-treatment Variables

J. Pearl, 2015 .

The structural theory of causation

J. Pearl, 2011 .

Exogeneity and Robustness

J. Pearl, Bryant Chen, 2015 .

2 An oracle for policies or an aid to forecasters ?

J. Pearl, 2014 .

Reflections on Heckman and Pinto's Causal Analysis After Haavelmo

J. Pearl, 2013 .

Graphoids over Counterfactuals

J. Pearl, 2014 .

On the Statistical Interpretation of Structural Equations

J. Pearl, 2011 .

The Science and Ethics of Causal Modeling

J. Pearl, 2010 .

The Foundations of Causal Inference : A Review ∗

J. Pearl, 2010 .

Complete identification methods for causal inference

J. Pearl, I. Shpitser, 2008 .

Artificial Intelligence Axioms of causal relevance

J. Pearl, D. Galles, 2003 .

The Logic of Counterfactuals in Causal Inference

J. Pearl, 2000 .

Statistics, Causality, and Graphs

J. Pearl, 1999 .

Generalizing experimental results by leveraging knowledge of mechanisms

J. Pearl, Carlos Cinelli, 2020, European Journal of Epidemiology.

A Crash Course in Good and Bad Controls

J. Pearl, A. Forney, Carlos Cinelli, 2020, SSRN Electronic Journal.

On the Interpretation of do ( x )

J. Pearl, 2019 .

Challenging the hegemony of randomized controlled trials: A commentary on Deaton and Cartwright.

J. Pearl, 2018, Social science & medicine.

Causal and Counterfactual Inference

J. Pearl, 2018 .

Detecting Latent Heterogeneity

J. Pearl, 2013 .

Physical and Metaphysical Counterfactuals: Evaluating Disjunctive Actions

J. Pearl, 2017 .

2 . 1 Assessing covariate-induced heterogeneity

J. Pearl, 2015 .

Interpretation and Identification of Causal Mediation

J. Pearl, 2013, Psychological methods.

Judea Pearl * The Deductive Approach to Causal Inference

J. Pearl, 2014 .

Title Causal Transportability with Limited Experiments Permalink

J. Pearl, E. Bareinboim, 2013 .

Regression and Causation: A Critical Examination of Six Econometrics Textbooks

J. Pearl, Bryant Chen, 2013 .

Title The mathematics of causal inference Permalink

J. Pearl, 2013 .

Interpretable Conditions for Identifying Direct and Indirect Effects

J. Pearl, 2012 .

The algorithmization of counterfactuals ( or , what if Oswald were a robot ? )

J. Pearl, 2011 .

Statistics and causality: separated to reunite-commentary on Bryan Dowd's "separated at birth".

J. Pearl, 2011, Health services research.

Exogeneity and Superexogeneity: A No-tear Perspective

J. Pearl, 2011 .

The Mathematics of Causal Relations

J. Pearl, 2010 .

The Mathematics of Causal Relations Judea Pearl Cognitive Systems Laboratory Computer Science

J. Pearl, 2010 .

Physical and Metaphysical Counterfactuals

J. Pearl, 2010 .

1 Introduction-Physical and Metaphysical Conceptions of Actions

J. Pearl, 2010 .

On the Identication of Causal Eects

J. Pearl, Jin Tian, 2003 .

Direct and Indirect Eeects (first Draft, Comments Welcome)

J. Pearl, 2001 .

Universal Formulas for Treatment Effects from Noncompliance Data

J. Pearl, Alexander Balke, 1996 .

The Mathematics of Causal Relations Judea Pearl

J. Pearl, 2022 .

3 Interpretable Conditions 3 . 1 Preliminary Notation and Nomenclature

J. Pearl, 2022 .

Clarifying the Usage of Structural Models for Commonsense Causal Reasoning

J. Pearl, Mark Hopkins, 2003 .

Title Graphical models for inference with missing data Permalink

J. Pearl, Jin Tian, K. Mohan, 2013 .

A Maximum Entropy Approach to NOIl notonic

J. Pearl, Paul F. Morris, 2007 .

Some Thoughts Concerning Transfer Learning, with Applications to Meta-Analysis and Data-Sharing Estimation

J. Pearl, 2012 .

Dynamic Networks Techniques for Autonomous Planning and Control. Probabilistic Counterfactuals.

J. Pearl, 1997 .

Reply to commentary by Imai, Keele, Tingley, and Yamamoto concerning causal mediation analysis.

Judea Pearl, J. Pearl, 2014, Psychological methods.

Causal, Casual, and Curious (2013-2020): A collage in the art of causal reasoning

J. Pearl, 2020 .

The Curse of Free-Will and the Paradox of Inevitable Regret

Judea Pearl, J. Pearl, 2010 .

ESSAY : Probability in Artificial Intelligence

J. Pearl, 2022 .

Causes of Eects and Eects of Causes

J. Pearl, 2014 .

Review of N . Cartwright “ Hunting Causes and Using Them ”

J. Pearl, 2008 .

Flowers of the First Law

J. Pearl, 2015 .

Causal , Casual and Curious Judea Pearl * Generalizing Experimental Findings

J. Pearl, 2015 .

Why there is no statistical test for confounding, why many think there is, and why they are almost right

J. Pearl, 1998 .

Title Comment on ` Causal inference , probability theory , and graphical insights '

J. Pearl, S. Baker, 2013 .

Confounding Equivalence in Observational Studies

Judea Pearl, J. Pearl, 2009 .

Sufficient Causes: On Oxygen, Matches, and Fires

J. Pearl, 2019, Journal of Causal Inference.

Causal Thinking in the Twilight Zone

J. Pearl, 2021 .

Axiom, Definition, Assumption, or Theorem?

J. Pearl, 2010 .

Reasoning with Cause and Effect 2 Structural Model Semantics Deenition 2.1 (causal Model) a Causal Model Is a Triple

J. Pearl, M. U ; V ; F, 1999 .

Causal Counterfactual Theory for the Attribution of Weather and Climate-Related Events

J. Pearl, M. Ghil, P. Naveau, 2016 .

BOOK REVIEW A Structural Approach to the Understanding of Causes, Effects, and Judgment

J. Pearl, S. F. Butler, 2002 .

A Linear “Microscope” for Interventions and Counterfactuals

J. Pearl, 2017 .

Lord ’ s Paradox Revisited – ( Oh Lord ! Kumbaya ! ) Judea Pearl

J. Pearl, 2016 .

Lord’s Paradox Revisited – (Oh Lord! Kumbaya!)

J. Pearl, 2016 .

Lord ’ s Paradox Revisited – (

J. Pearl, 2014 .

A Calculus of Pragmatic Obligation

J. Pearl, 2002 .

From Adams' conditionals to default expressions, causal conditionals, and counterfactuals

Judea Pearl, J. Pearl, 1994 .

The Mechanization of Causal Inference: A “mini” Turing Test and Beyond

Judea Pearl, J. Pearl, 2007 .

Learning bayesian networks from data

Richard E. Korf, David Maxwell Chickering, Judea Pearl, 1996 .

Distributed diagnosis of systems with multiple faults

Hector Geffner, Judea Pearl, J. Pearl, 1992 .

A Maximum Entropy Approach to NOIl notonic Mois

J. Pearl, M. Goldszmidt, Paul F. Morris, 1999 .

The Causal Mediation Formula – A practitioner guide to the assessment of causal pathways

J. Pearl, 2011 .

Note on ‘‘Generalizability of Study Results‘‘

J. Pearl, E. Bareinboim, 2019, Epidemiology.

GRAPHICAL TOOLS FOR LINEAR PATH MODELS

J. Pearl, 2016 .

NON-NUMERICAL APPROACHES TO PLAUSIBLE INFERENCE INTRODUCTION

J. Pearl, G. Shafer, 2002 .

Empirical Semantics for Defeasible Databases

Judea Pearl, J. Pearl, 1992, JICSLP.

Comments on "Application of Walsh Transform to Statistical Analysis"

C. K. Yuen, Judea Pearl, J. Pearl, 1972, IEEE Trans. Syst. Man Cybern..

Technical Perspective Belief Propagation

Judea Pearl, Yair Weiss, J. Pearl, 2010 .

Bayesian and belief-functions formalisms for evidential reasoning: a conceptual analysis

Judea Pearl, J. Pearl, 1990 .

On the Complexity of Inexact Computations

Judea Pearl, J. Pearl, 1975, Inf. Process. Lett..

Does Obesity Shorten Life? Or is it the Soda? On Non-manipulable Causes

Judea Pearl, J. Pearl, 2018, Journal of Causal Inference.

THE FOUNDATIONS OF CAUSAL INFERENCE

J. Pearl, 2011 .

Asymptotic Complexity of Game-Searching Procedures

Judea Pearl, J. Pearl, 1980, MFCS.

A problem simplification approach that generates heuristics for constraint-satisfaction problems

Rina Dechter, Judea Pearl, J. Pearl, 1988 .

Which is more believable, the probably provable or the provably probable?

Judea Pearl, J. Pearl, 1990 .

Optimal Dyadic Models of Time-Invariant Systems

Judea Pearl, J. Pearl, 1975, IEEE Transactions on Computers.

Probabilistic Semantics for Nonmonotonic Reasoning: A Survey

Judea Pearl, J. Pearl, 1989, KR.

GRAPHOIDS: AN AXIOMATIC CHARACTERIZATION OF GRAPHICAL REPRESENTATIONS

Judea Pearl, J. Pearl, 1992 .

Probabilistic foundations of reasoning with conditionals

Judea Pearl, Moises Goldszmidt, J. Pearl, 1997 .

Consistent Estimation given Missing Data

Judea Pearl, Karthika Mohan, J. Pearl, 2018, PGM.

Estimation with Incomplete Data: The Linear Case

Judea Pearl, Karthika Mohan, Felix Thoemmes, 2018, IJCAI.

Causality: Preface to the First Edition

Judea Pearl, J. Pearl, 2009 .

Application of Walsh Transformto

Judea Pearl, J. Pearl, 1971 .

Unit Selection Based on Counterfactual Logic

Ang Li, Judea Pearl, J. Pearl, 2019, IJCAI.

Rejoinder to Discussions of Causal Diagrams for Empirical Research

Judea Pearl, J. Pearl, 1995 .

Imperfect Experiments: Bounding Effects and Counterfactuals

Judea Pearl, J. Pearl, 2009 .

Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions

Moisés Goldszmidt, Judea Pearl, J. Pearl, 1992, KR.

A causal calculus for statistical research, with applications to observational and experimental studies

J. Pearl, 2021 .

Discussion on “Surrogate Measures and Consistent Surrogates”

J. Pearl, 2013, Biometrics.

Comments on: The tale wagged by the DAG.

J. Pearl, 2018, International journal of epidemiology.

The Sure-Thing Principle

J. Pearl, 2016 .

of Causal Eects: A Formal Approach

J. Pearl, E. Bareinboim, 2013 .

Causation and decision: On Dawid’s “Decision theoretic foundation of statistical causality”

J. Pearl, 2022, Journal of Causal Inference.

Bias and Causation, Models and Judgment for Valid Comparisons by WEISBERG, H. I.

J. Pearl, 2012 .

Invited Commentary: Unders tanding Bias Amplification

J. Pearl, 2011 .

Causal Inference with Non-IID Data using Linear Graphical Models

J. Pearl, Chi Zhang, Karthika Mohan, 2022, NeurIPS.

A Note on Testing Exogeneity of Instrumental Variables

J. Pearl, 2011 .

What is Gained from Past Learning

J. Pearl, 2018 .

Dynamic Network Techniques for Autonomous Planning and Control

J. Pearl, 2000 .

An Interactive Program for Conversational Elecitation of Decision Structures.

Antonio Leal, Judea Pearl, J. Pearl, 1977, IJCAI 1977.

Recognition of Handwritten Chinese Characters by Modified Hough Transform Techniques

J. Pearl, J. Pearl, 1989 .

ON THE NATURE OF RESISTANCE IN THE MIXED STATE OF TYPE II SUPERCONDUCTORS

J. Pearl, 1965 .

Causal Inference: History, Perspectives, Adventures, and Unification (An Interview with Judea Pearl)

J. Pearl, 2022 .

Probabilistic reasoning using graphs

Judea Pearl, J. Pearl, 1987, International Conference on Information Processing and Management of Uncertainty.

Modeling and solving sequential decision problems with uncertainty and partial information

Richard E. Korf, Judea Pearl, Blai Tirant Bonet Bretto, 2004 .

Generalized Instrumental Variables pdf

Judea Pearl, Carlos Brito, J. Pearl, 2002, UAI.

Causes and Explanations: A Structural-Model Approach. Part I: Causes

Joseph Y. Halpern, Judea Pearl, J. Pearl, 2000, The British Journal for the Philosophy of Science.

Qualitative Decision Theory

Judea Pearl, Sek-Wah Tan, J. Pearl, 1994, AAAI.

On the Nature of Pathology in Game Searching

Judea Pearl, J. Pearl, 1983, Artif. Intell..

Graphical Models for Processing Missing Data

Judea Pearl, Karthika Mohan, J. Pearl, 2018, Journal of the American Statistical Association.

Missing Data as a Causal and Probabilistic Problem

Judea Pearl, Karthika Mohan, Ilya Shpitser, 2015, UAI.

Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data

Judea Pearl, Karthika Mohan, J. Pearl, 2014, NIPS.

On the Testability of Models with Missing Data

Judea Pearl, Karthika Mohan, J. Pearl, 2014, AISTATS.

Graphical Models for Inference with Missing Data

Jin Tian, Kilian Q. Weinberger, Judea Pearl, 2013, NIPS.

Causal Inference

Judea Pearl, J. Pearl, B. Scholkopf, 2010 .

Bayesian Networks

Judea Pearl, J. Pearl, 1998, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

The Do-Calculus Revisited

Judea Pearl, J. Pearl, 2012, UAI.

The seven tools of causal inference, with reflections on machine learning

Judea Pearl, J. Pearl, 2019, Commun. ACM.

A Clinician's Tool for Analyzing Non-Compliance

David Maxwell Chickering, Judea Pearl, J. Pearl, 1996, AAAI/IAAI, Vol. 2.

Reasoning with belief functions: An analysis of compatibility

Judea Pearl, J. Pearl, 1990, Int. J. Approx. Reason..

Causal Discovery from Changes: a Bayesian Approach

Jin Tian, Judea Pearl, J. Pearl, 2001, UAI 2001.

On the Logic of Iterated Belief Revision

Judea Pearl, Adnan Darwiche, J. Pearl, 1994, Artif. Intell..

CURRENT DISTRIBUTION IN SUPERCONDUCTING FILMS CARRYING QUANTIZED FLUXOIDS

J. Pearl, J. Pearl, 1964 .

On the logic of causal models pdf

Dan Geiger, Judea Pearl, J. Pearl, 2013, UAI.

Structure of Superconductive Vortices near a Metal‐Air Interface

Judea Pearl, J. Pearl, 1966 .

The Anatomy of Easy Problems: A Constraint-Satisfaction Formulation

Rina Dechter, Judea Pearl, J. Pearl, 1985, IJCAI.

Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution

Judea Pearl, J. Pearl, 2018, WSDM.

Qualitative Probabilities for Default Reasoning, Belief Revision, and Causal Modeling

Judea Pearl, J. Pearl, 1996, Artif. Intell..

A Maximum Entropy Approach to Nonmonotonic Reasoning

Moisés Goldszmidt, Paul H. Morris, Judea Pearl, 1990, IEEE Trans. Pattern Anal. Mach. Intell..

Reasoning with Qualitative Probabilities Can Be Tractable pdf

Moisés Goldszmidt, Judea Pearl, J. Pearl, 1992, UAI.

Conditional Entailment: Bridging two Approaches to Default Reasoning

Hector Geffner, Judea Pearl, J. Pearl, 1992, Artif. Intell..

On the Consistency of Defeasible Databases

Moisés Goldszmidt, Judea Pearl, J. Pearl, 1991, Artif. Intell..

System-Z+: A Formalism for Reasoning with Variable-Strength Defaults

Moisés Goldszmidt, Judea Pearl, J. Pearl, 1991, AAAI.

The electrical conductance properties of blood in motion.

J. Pearl, S. Bagno, F. M. Liebman, 1962, Physics in medicine and biology.

The International Journal of Biostatistics C AUSAL I NFERENCE An Introduction to Causal Inference

Judea Pearl, J. Pearl, 2011 .

Simpson's Paradox: an Anatomy 1 a Tale of a Non-paradox

J. Pearl, 1999 .

Structural and probabilistic causality.

Judea Pearl, J. Pearl, 1996 .

Causes of Effects and Effects of Causes

Judea Pearl, J. Pearl, 2015 .

Causal Diagrams for Empirical Research (With Discussions)

J. Pearl, 2022, Probabilistic and Causal Inference.

Selected Annotated Bibliography by Judea Pearl

J. Pearl, 2022, Probabilistic and Causal Inference.

Structural Counterfactuals: A Brief Introduction

Judea Pearl, J. Pearl, 2013, Cogn. Sci..

Meta-Transportability of Causal Effects: A Formal Approach

Elias Bareinboim, Judea Pearl, J. Pearl, 2013, AISTATS.

Causal Transportability with Limited Experiments

Elias Bareinboim, Judea Pearl, J. Pearl, 2013, AAAI.

A General Algorithm for Deciding Transportability of Experimental Results

Elias Bareinboim, Judea Pearl, J. Pearl, 2013, ArXiv.

Aspects of Graphical Models Connected with Causality

Judea Pearl, J. Pearl, 2011 .

Dormant Independence

Judea Pearl, Ilya Shpitser, J. Pearl, 2008, AAAI.

Causal Inference in the Health Sciences: A Conceptual Introduction

Judea Pearl, J. Pearl, 2001, Health Services and Outcomes Research Methodology.

Causal Discovery from Changes pdf

Jin Tian, Judea Pearl, J. Pearl, 2001, UAI.

Axioms of Causal Relevance

Judea Pearl, David Galles, J. Pearl, 1997, Artif. Intell..

Title On the Identification of Nonparametric Structural Models Permalink

J. Pearl, 1997 .

Decision making under uncertainty

Judea Pearl, J. Pearl, 1996, CSUR.

Testing Identifiability of Causal Effects pdf

Judea Pearl, David Galles, J. Pearl, 1995, UAI.

From Bayesian networks to causal networks

Judea Pearl, J. Pearl, 1995 .

Probabilistic Evaluation of Counterfactual Queries

Judea Pearl, Alexander Balke, J. Pearl, 1994, AAAI.

Symbolic Causal Networks

Judea Pearl, Adnan Darwiche, J. Pearl, 1994, AAAI.

A Probabilistic Calculus of Actions

Judea Pearl, J. Pearl, 1994, UAI.

On Testing Whether an Embedded Bayesian Network Represents a Probability Model

Dan Geiger, Judea Pearl, Azaria Paz, 1994, UAI.

When can association graphs admit a causal interpretation

Judea Pearl, Nanny Wermuth, J. Pearl, 1994 .

Deciding Morality of Graphs is NP-complete pdf

Judea Pearl, Tom S. Verma, J. Pearl, 1993, UAI.

Structure Identification in Relational Data

Rina Dechter, Judea Pearl, J. Pearl, 1992, Artif. Intell..

An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation

Judea Pearl, Tom S. Verma, J. Pearl, 1992, UAI.

Learning Causal Trees from Dependence Information

Dan Geiger, Judea Pearl, Azaria Paz, 1990, AAAI.

Embracing Causality in Default Reasoning

Judea Pearl, J. Pearl, 1988, Artif. Intell..

Embracing Causality in Formal Reasoning

Judea Pearl, J. Pearl, 1987, AAAI.

d-Separation: From Theorems to Algorithms

Dan Geiger, Judea Pearl, Tom S. Verma, 2013, UAI.

GODDESS: A Goal-Directed Decision Structuring System

Antonio Leal, Judea Pearl, Joseph Saleh, 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Network-based heuristics for constraint satisfaction problems

Rina Dechter, Judea Pearl, J. Pearl, 1988 .

Causal Diagrams

Sander Greenland, Judea Pearl, J. Pearl, 2011, International Encyclopedia of Statistical Science.

Uncovering Trees in Constraint Networks

Rina Dechter, Judea Pearl, Itay Meiri, 1996, Artif. Intell..

Tree Decomposition with Applications to Constraint Processing

Rina Dechter, Judea Pearl, Itay Meiri, 1990, AAAI.

Application of Walsh Transform to Statistical Analysis

Judea Pearl, J. Pearl, 1971, IEEE Trans. Syst. Man Cybern..

Advanced technology Vortexes are creating a stir in the superconductor field

J. Pearl, 2022 .

System Z: a Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning^

Judea Pearl, J. Pearl, R. Parikh, 1990 .

Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data

Guy Van den Broeck, Judea Pearl, Adnan Darwiche, 2014, UAI.

Probabilities Of Causation: Three Counterfactual Interpretations And Their Identification

Judea Pearl, J. Pearl, 1999, Synthese.

Specification and Evaluation of Preferences for Planning under Uncertainty

Judea Pearl, Sek-Wah Tan, J. Pearl, 1994 .

Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation pdf

Blai Bonet, Judea Pearl, J. Pearl, 2002, UAI.

Identifiability of Path-Specific Effects

Chen Avin, Judea Pearl, Ilya Shpitser, 2005, IJCAI.

Causal Counterfactual Theory for the Attribution of Weather and Climate-Related Events

J. Pearl, M. Ghil, P. Naveau, 2016 .

Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables

Elias Bareinboim, Judea Pearl, Bryant Chen, 2015, IJCAI.

Causes and explanations: A structural-model approach

Joseph Y. Halpern, Judea Pearl, J. Pearl, 2000 .

External Validity: From Do-Calculus to Transportability Across Populations pdf

Elias Bareinboim, Judea Pearl, J. Pearl, 2014, Probabilistic and Causal Inference.

Adjustments and their Consequences—Collapsibility Analysis using Graphical Models

Sander Greenland, Judea Pearl, J. Pearl, 2010 .

MARKOV AND BAYESIAN NETWORKS: Two Graphical Representations of Probabilistic Knowledge

Judea Pearl, J. Pearl, 1988 .

Recovering from Selection Bias in Causal and Statistical Inference

Jin Tian, Elias Bareinboim, Judea Pearl, 2014, AAAI.

The algorithmization of counterfactuals

Judea Pearl, J. Pearl, 2011, Annals of Mathematics and Artificial Intelligence.

Nancy Cartwright on Hunting Causes

J. Pearl, 2010, Economics and Philosophy.

If Oswald Hadn't Used Counterfactuals, My Robot Would Have

Judea Pearl, J. Pearl, 2010 .

4. Summary: Where Is Econometric Modelling Today?

J. Pearl, 2008 .

Reasoning with Cause and Effect

Judea Pearl, J. Pearl, 1999, IJCAI.

The New Challenge: From a Century of Statistics to an Age of Causation

Judea Pearl, J. Pearl, 1997 .

Counterfactuals and Policy Analysis in Structural Models pdf

Judea Pearl, Alexander Balke, J. Pearl, 1995, UAI.

2 SEM and Causality : A Brief History of Unhappy Encounters

J. Pearl, 2022 .

On the Foundation of Structural Equation Models or When Can We Give Causal Interpretation to Structural Coeecients? 1 Identiiability and Causal Authenticity

J. Pearl, 2022 .

Conditional independence and its representations

Dan Geiger, Judea Pearl, Thomas Verma, 1990, Kybernetika.

On coding and filtering stationary signals by discrete Fourier transforms (Corresp.)

Judea Pearl, J. Pearl, 1973, IEEE Trans. Inf. Theory.

The Utility of Precision in Search Heuristics

Judea Pearl, J. Pearl, 1982, ECAI.

Probabilistic Analysis of the Complexity of A*

Rina Dechter, Judea Pearl, Nam Huyn, 1980, Artif. Intell..

Transportability of Causal and Statistical Relations: A Formal Approach

Elias Bareinboim, Judea Pearl, J. Pearl, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Linear Models: A Useful “Microscope” for Causal Analysis

Judea Pearl, J. Pearl, 2013 .

Testable Implications of Linear Structural Equation Models

Jin Tian, Judea Pearl, Bryant Chen, 2014, AAAI.

Graphical Tools for Linear Structural Equation Modeling

Judea Pearl, Bryant Chen, J. Pearl, 2014 .

Robustness of Causal Claims pdf

Judea Pearl, J. Pearl, 2004, UAI.

A Minimax Algorithm Better Than Alpha-Beta? Yes and No

Judea Pearl, Igor Roizen, J. Pearl, 1983, Artif. Intell..

Logical and algorithmic properties of independence and their application to Bayesian networks

Dan Geiger, Judea Pearl, J. Pearl, 1990, Annals of Mathematics and Artificial Intelligence.

An economic basis for certain methods of evaluating probabilistic forecasts

Judea Pearl, J. Pearl, 1978 .

Peer Reviewed Title: Graphical Condition for Identification in Recursive SEM

J. Pearl, Carlos Brito, 2006 .

Graphical methods for identification in structural equation models

Judea Pearl, Carlos Brito, J. Pearl, 2003 .

On the Consistency Rule in Causal Inference: Axiom, Definition, Assumption, or Theorem?

Judea Pearl, J. Pearl, 2010, Epidemiology.

Controlling Selection Bias in Causal Inference

Elias Bareinboim, Judea Pearl, J. Pearl, 2011, AISTATS.

The Mathematics of Causal Inference in Statistics

J. Pearl, 2007 .

Parameter Identiication: a New Perspective (second Draft)

J. Pearl, 2001 .

Transportability across studies: A formal approach

Elias Bareinboim, Judea Pearl, J. Pearl, 2011 .

Character Recognition: the Reading of Text by Computer

J. Pearl, J Pearl, K S Arora, 2022 .

Distributed Revision of Composite Beliefs

Judea Pearl, J. Pearl, 1987, Artif. Intell..

Nonparametric Bounds on Causal Effects from Partial Compliance Data

Judea Pearl, Alexander Balke, J. Pearl, 2011 .

Bandits with Unobserved Confounders: A Causal Approach

Elias Bareinboim, Judea Pearl, Andrew Forney, 2015, NIPS.

On a Class of Bias-Amplifying Variables that Endanger Effect Estimates

Judea Pearl, J. Pearl, 2010, UAI.

Confounding Equivalence in Causal Inference

Judea Pearl, Azaria Paz, J. Pearl, 2010, UAI.

On the Identification of Causal Effects

Jin Tian, Judea Pearl, J. Pearl, 2015 .

Title Identifiability of Path-Specific Effects Permalink

J. Pearl, I. Shpitser, C. Avin, 2005 .

A Framework for Reasoning with Defaults

Hector Geffner, Judea Pearl, J. Pearl, 1990 .

Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations pdf

Judea Pearl, J. Pearl, 1986, UAI 1986.

Distributedrevision of belief commitment in composite explanations

Judea Pearl, J. Pearl, 1986, UAI.

Probabilities of causation: Bounds and identification

Jin Tian, Judea Pearl, J. Pearl, 2000, Annals of Mathematics and Artificial Intelligence.

The recovery of causal poly-trees from statistical data pdf

Judea Pearl, George Rebane, J. Pearl, 1987, Int. J. Approx. Reason..

Causes and Explanations: A Structural-Model Approach. Part II: Explanations

Joseph Y. Halpern, Judea Pearl, J. Pearl, 2001, The British Journal for the Philosophy of Science.

Graphoids over Counterfactuals

J. Pearl, 2014 .

Missing Data from a Causal Perspective

Judea Pearl, Karthika Mohan, J. Pearl, 2015, AMBN@JSAI-isAI.

A solution to a class of selection-bias problems

Judea Pearl, J. Pearl, 2012 .

A general identification condition for causal effects

Jin Tian, Judea Pearl, J. Pearl, 2002, AAAI/IAAI.

Studies in Semi-Admissible Heuristics

Judea Pearl, Jin H. Kim, J. Pearl, 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Causal Calculus for Statistical Research

Judea Pearl, J. Pearl, 1995, AISTATS.

Action as a Local Surgery

Judea Pearl, J. Pearl, 1995 .

Specification and Evaluation of Preferences Under Uncertainty

Judea Pearl, Sek-Wah Tan, J. Pearl, 1994, KR.

Causes of Effects: Learning individual responses from population data pdf

Ang Li, Judea Pearl, Scott Mueller, 2021, IJCAI.

Asymptotic Properties of Minimax Trees and Game-Searching Procedures

Judea Pearl, J. Pearl, 1980, Artif. Intell..

Heuristic Search Theory: Survey of Recent Results

Judea Pearl, J. Pearl, 1981, IJCAI.

The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm and its Optimality

Judea Pearl, J. Pearl, 1981, ICALP.

Some Recent Results in Heuristic Search Theory

Judea Pearl, J. Pearl, 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Logarithmic-Time Updates and Queries in Probabilistic Networks pdf

Simon Kasif, Judea Pearl, Arthur L. Delcher, 1995, UAI.

An Improved Constraint-Propagation Algorithm for Diagnosis

Hector Geffner, Judea Pearl, J. Pearl, 1987, IJCAI.

Structuring causal trees

Judea Pearl, Michael Tarsi, J. Pearl, 1986, J. Complex..

Learning Hidden Causes from Empirical Data

Judea Pearl, J. Pearl, 1985, IJCAI.

On the Definition of Actual Cause (draft Copy { Comments Are Welcome)

Judea Pearl, J. Pearl, 1998 .

The new science of cause and effect, with reflections on data science and artificial intelligence

Judea Pearl, J. Pearl, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Comment: Graphical Models, Causality and Intervention

Judea Pearl, J. Pearl, 2016 .

Probabilities of Causation: Role of Observational Data

J. Pearl, Ang Li, 2022, AISTATS.

Bounds on Causal Effects and Application to High Dimensional Data pdf

Judea Pearl, Ang Li, J. Pearl, 2021, AAAI.

What Counterfactuals Can Be Tested

Judea Pearl, Ilya Shpitser, J. Pearl, 2007, UAI.

Exploiting Equality Constraints in Causal Inference

Judea Pearl, Carlos Cinelli, Chi Zhang, 2021, AISTATS.

On the Logic of Probabilistic Dependencies

Judea Pearl, J. Pearl, 1986, AAAI.

Graphical Condition for Identification in recursive SEM pdf

Judea Pearl, Carlos Brito, J. Pearl, 2006, UAI.

A graphical criterion for the identification of causal effects in linear models

Judea Pearl, Carlos Brito, J. Pearl, 2002, AAAI/IAAI.

Causality and Counterfactuals in the Situation Calculus

Mark Hopkins, Judea Pearl, J. Pearl, 2007, J. Log. Comput..

On Measurement Bias in Causal Inference pdf

Judea Pearl, J. Pearl, 2010, UAI.

On the Interpretation of do(x)do(x)

J. Pearl, 2019, Journal of Causal Inference.

The mathematics of causal inference

Judea Pearl, J. Pearl, 2011, KDD.

Causal inference from indirect experiments

Judea Pearl, J. Pearl, 1995, Artif. Intell. Medicine.

Causal Inference in Statistics: A Primer

J. Pearl, M. Glymour, N. Jewell, 2016 .

Causal inference

J. Pearl, J. Robins, R. Shanmugam, 2011, Twenty-one Mental Models That Can Change Policing.

Identification of Conditional Interventional Distributions pdf

Judea Pearl, Ilya Shpitser, J. Pearl, 2006, UAI.

Sensitivity Analysis of Linear Structural Causal Models

Elias Bareinboim, Judea Pearl, Carlos Cinelli, 2019, ICML.

CAUSAL INFERENCE IN STATISTICS : A Gentle Introduction

J. Pearl, M. Glymour, N. Jewell, 2001 .

Myth, Confusion, and Science in Causal Analysis

J. Pearl, 2009 .

Causal Inference by Surrogate Experiments: z-Identifiability

Elias Bareinboim, Judea Pearl, J. Pearl, 2012, UAI.

Unit Selection with Causal Diagram pdf

Judea Pearl, Ang Li, J. Pearl, 2021, AAAI.

Air pollution and hospital admissions for heart disease in eight U.S. counties.

J. Pearl, J. Robins, S. Greenland, 1998, Epidemiology.

Causal Inference

J. Pearl, 2008, NIPS Causality: Objectives and Assessment.

Letter to the Editor: Remarks on the Method of Propensity Score

Judea Pearl, J. Pearl, 2009 .

Bayesian decision methods

Judea Pearl, J. Pearl, 1990 .

Comment on Ding and Miratrix: “To Adjust or Not to Adjust?”

J. Pearl, 2015 .

Transportability from Multiple Environments with Limited Experiments: Completeness Results

Elias Bareinboim, Judea Pearl, J. Pearl, 2014, NIPS.

Causal Inference under Interference and Model Uncertainty

J. Pearl, Chi Zhang, Karthika Mohan, 2023, CLeaR.

Mediating Instrumental Variables

Judea Pearl, J. Pearl, 2011 .

Probabilities Of Causation: Three Counterfactual Interpretations And Their Identification

J. Pearl, 1999, Synthese.

BELIEF UPDATING BY NETWORK PROPAGATION

Judea Pearl, J. Pearl, 1988 .

Causal Diagrams

J. Pearl, S. Greenland, Greenland-Pearl, 2011, International Encyclopedia of Statistical Science.

Testing regression models with fewer regressors

Judea Pearl, Peyman Meshkat, J. Pearl, 2011, AISTATS.

Local Characterizations of Causal Bayesian Networks

Elias Bareinboim, Judea Pearl, Carlos Brito, 2011, GKR.

A note on the pairwise Markov condition in directed Markov fields

J. Pearl, 2012 .

Performance Measures for Transform Data Coding

J. Pearl, H. Andrews, W. Pratt, 1972, IEEE Trans. Commun..

On the Equivalence of Causal Models pdf

Judea Pearl, Tom S. Verma, J. Pearl, 2013, 1304.1108.

Causality: Causal Diagrams and the Identification of Causal Effects

J. Pearl, 2009 .

Causal diagrams for epidemiologic research.

James M. Robins, Sander Greenland, Judea Pearl, 1999 .

Causal diagrams for epidemiologic research.

J. Pearl, G. Shaw, C. Wasserman, 1999, Epidemiology.

Belief propagation: technical perspective

Judea Pearl, Yair Weiss, J. Pearl, 2010, Commun. ACM.

A new characterization of the experimental implications of causal Bayesian networks

Jin Tian, Judea Pearl, J. Pearl, 2002, AAAI/IAAI.

Causal inference and the data-fusion problem

J. Pearl, E. Bareinboim, 2016, Proceedings of the National Academy of Sciences.

Introduction by Judea Pearl

J. Pearl, 2022, Probabilistic and Causal Inference.

The Seven Pillars of Causal Reasoning with Reflections on Machine Learning

Judea Pearl, J. Pearl, 2018 .

On the utility of causal diagrams in modeling attrition: a practical example.

J. Pearl, Carlos Cinelli, 2018 .

Probabilities of causation: Bounds and identification

J. Pearl, Jin Tian, 2000, Annals of Mathematics and Artificial Intelligence.

Transportability from Multiple Environments with Limited Experiments

Vasant Honavar, Elias Bareinboim, Judea Pearl, 2013, NIPS.

Causal Inference from Big Data: Theoretical Foundations and the Data-fusion Problem

Elias Bareinboim, Judea Pearl, J. Pearl, 2015 .

Heuristics : intelligent search strategies for computer problem solving

J. Pearl, 1984 .

Causation, Action and Counterfactuals

J. Pearl, 1996, Theoretical Aspects of Rationality and Knowledge.

On Quantifying Bias in Causal Effects When Data Are Non-IID

J. Pearl, Chi Zhang, Karthika Mohan, 2023 .

2 From Association to Causation 2 . 1

J. Pearl, 2010 .

Probabilities of causation : Three counterfactualinterpretations and their identi cationJudea PearlCognitive Systems

J. Pearl, 1999 .

Cover Letter: a Cover Letter Must Accompany the Submitted Manuscript Stating That the on the Consistency Rule in Causal Inference

J. Pearl, An Axiom, 2022 .

System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning

J. Pearl, 1990, TARK.

Remarks on the method of propensity score

J. Pearl, 2009, Statistics in medicine.

Tree-Clustering Schemes for Constraint-Processing

Rina Dechter, Judea Pearl, J. Pearl, 1988, AAAI.

Influence Diagrams - Historical and Personal Perspectives

Judea Pearl, J. Pearl, 2005, Decis. Anal..

System Z: a Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning (*) Ri_i) } 2. Consequence Relations

J. Pearl, 1990 .

On the Consistency Rule in Causal Inference : Axiom , Definition , Assumption , or Theorem ?

J. Pearl, Robert Stalnaker, 2022 .

Causal Diagrams 2 November 2009 1 of 16 CAUSAL DIAGRAMS

J. Pearl, S. Greenland, Greenland-Pearl, 2008 .

Theoretical bounds on the complexity of inexact computations

Judea Pearl, J. Pearl, 1976, IEEE Trans. Inf. Theory.

The Logic of Counterfactuals in Causal Inference

J. Pearl, A. Dawid, 2000 .

Classical causal models cannot faithfully explain Bell nonlocality or Kochen-Specker contextuality in arbitrary scenarios

J. C. Pearl, E. G. Cavalcanti, J. Pearl, 2019, Quantum.

Title Bounds on Direct Effect in the Presence of Confounded Intermediate Variables Permalink

J. Pearl, Manabu Kuroki, Zhihong Cai, 2008 .

Comments and Controversies: Graphical models, potential outcomes and causal inference: Comment on Lindquist and Sobel

J. Pearl, 2011 .

Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models

J. Pearl, I. Shpitser, 2006, AAAI.

Probabilistic reasoning in intelligent systems - networks of plausible inference

J. Pearl, 1989, Morgan Kaufmann series in representation and reasoning.

Structural Counterfactuals: A Brief Introduction

J. Pearl, 2013, Cogn. Sci..

An Efficient Method for Bayesian Network Parameter Learning from Incomplete Data

Guy Van den Broeck, Judea Pearl, Arthur Choi, 2014, ICML 2014.

A Characterization of Interventional Distributions in Semi-Markovian Causal Models

Jin Tian, Judea Pearl, Changsung Kang, 2006, AAAI.

Do we need higher-order probabilities, and, if so, what do they mean? pdf

Judea Pearl, J. Pearl, 1987, Int. J. Approx. Reason..

Probabilistic reasoning in intelligent systems: networks of plausible inference" Morgan Kaufmann

J. Pearl, 1997 .

Introduction by Judea Pearl

J. Pearl, 2022, Probabilistic and Causal Inference.

Turing Award Lecture

J. Pearl, 2022, Probabilistic and Causal Inference.

Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models pdf

Elias Bareinboim, Judea Pearl, Bryant Chen, 2015, ArXiv.

Generalizing causal knowledge: theory and algorithms

Elias Bareinboim, Judea Pearl, J. Pearl, 2014, SIGAI.

A Note on Causes of Effects

Judea Pearl, J. Pearl, 2014 .

In Defense of Unification (Comments on West and Koch's review of Causality)

Judea Pearl, J. Pearl, 2014 .

Comments on `Surrogate measures and consistent surrogates' (by Tyler VanderWeele)

Judea Pearl, J. Pearl, 2013 .

Causes and Explanations: A Structural-Model Approach: Part 1: Causes

J. Pearl, J. Halpern, 2013, UAI.

The Do-Calculus Revisited

J. Pearl, 2012, UAI.

Statistics and causality: separated to reunite-commentary on Bryan Dowd's "separated at birth".

J. Pearl, 2011, Health services research.

REPLY TO WOODWARD

J. Pearl, 2003, Economics and Philosophy.

Comments on Seeing and Doing

J. Pearl, 2002 .

Theoretical Impediments to Machine Learning A position paper

J. Pearl, 2016 .

A short note on the virtues of graphical tools

Judea Pearl, J. Pearl, 2014 .

Comments on \Surrogates measures and consistent surrogates"

Judea Pearl, Tyler VanderWeele, J. Pearl, 2013 .

The optimality of A

David Gelperin, J. Pearl, D. Gelperin, 1988 .

A Clinician's Tool for Analyzing Non-Compliance

J. Pearl, D. M. Chickering, 1996, AAAI/IAAI, Vol. 2.

A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models

Judea Pearl, Chi Zhang, Bryant Chen, 2020, AAAI.

The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm

Donald E. Knuth, Ronald W. Moore, D. Knuth, 1981, ICALP.

Causality: The Logic of Structure-Based Counterfactuals

J. Pearl, 2009 .

Heuristics - intelligent search strategies for computer problem solving

Judea Pearl, J. Pearl, 1984, Addison-Wesley series in artificial intelligence.

AI's greatest trends and controversies

Wolfgang Bibel, Alan Bundy, Ryszard S. Michalski, 2000 .