Judea Pearl

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On coding precedence relations with a pair-ordering fidelity criterion (Corresp.)

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

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

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

Unit Selection Based on Counterfactual Logic

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

Dynamic Constraints Networks

Judea Pearl, 1989 .

Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data

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

A short note on the virtues of graphical tools

Judea Pearl, J. Pearl, 2014 .

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

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

On the Consistency of Defeasible Databases

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

Distributed Inferencing for Classification

Judea Pearl, 1991 .

Learning structure from data: a survey

Rina Dechter, Judea Pearl, 1989, COLT '89.

GODDESS: A Goal-Directed Decision Structuring System

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

Testable Implications of Linear Structural Equation Models

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

When can association graphs admit a causal interpretation

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

Direct and Indirect Effects pdf

Judea Pearl, J. Pearl, 2001, UAI.

Confounding Equivalence in Causal Inference

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

On the Storage Economy of Inferential Question-Answering Systems

Judea Pearl, 1975, IEEE Transactions on Systems, Man, and Cybernetics.

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

Judea Pearl, J. Pearl, 2011 .

Causal diagrams for epidemiologic research.

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

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

Judea Pearl, J. Pearl, 2007 .

Belief Networks Revisited

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

Asymptotic Properties of Minimax Trees and Game-Searching Procedures

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

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

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

Identification of Conditional Interventional Distributions pdf

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

An Improved Constraint-Propagation Algorithm for Diagnosis

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

Theoretical bounds on the complexity of inexact computations

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

LEARNING STRUCTURE FROM DATA

Judea Pearl, 1988 .

Conditional Entailment: Bridging two Approaches to Default Reasoning

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

On the Discovery and Generation of Certain Heuristics

Judea Pearl, 1983, AI Mag..

Causal Inference

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

Storage Versus Performance Exchange in Probabilistic Question-Answering Systems

Judea Pearl, Alain Crolotte, 1980 .

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

Judea Pearl, J. Pearl, 1997 .

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

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

Response to review by Kyburg

Judea Pearl, 2005, Artif. Intell..

Heuristics : intelligent search strategies for computer problem solving

Judea Pearl, J. Pearl, 1984 .

Generalized Instrumental Variables pdf

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

Random Bayesian networks with bounded indegree

Judea Pearl, Eunice Yuh-Jie Chen, 2014, AISTATS.

Reasoning with belief functions: An analysis of compatibility

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

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

Judea Pearl, J. Pearl, 2013 .

Reasoning with Qualitative Probabilities Can Be Tractable pdf

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

Graphical Condition for Identification in recursive SEM pdf

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

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

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

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

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

Tree-Clustering Schemes for Constraint-Processing

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

Comments on \Surrogates measures and consistent surrogates"

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

On Two Pseudo-Paradoxes in Bayesian Analysis

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

Chapter 2 – BAYESIAN INFERENCE

Judea Pearl, J. Pearl, 1988 .

On the Logic of Iterated Belief Revision

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

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

Judea Pearl, J. Pearl, 1980, AAAI.

Bayesian Networks

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

Distributed Revision of Composite Beliefs

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

Identifying Independencies in Causal Graphs with Feedback pdf

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

On the Nature of Pathology in Game Searching

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

CAUSATION, ACTION, AND COUNTERFACTUALS

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

Adjustments and their Consequences—Collapsibility Analysis using Graphical Models

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

Three Statistical Puzzles

Judea Pearl, 2011 .

Tree Decomposition with Applications to Constraint Processing

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

On logic and probability

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

The Do-Calculus Revisited

Judea Pearl, J. Pearl, 2012, UAI.

Learning Causal Trees from Dependence Information

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

Graphical Models for Probabilistic and Causal Reasoning

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

Convince: A Conversational Inference Consolidation Engine

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

Learning Hidden Causes from Empirical Data

Judea Pearl, J. Pearl, 1985, IJCAI.

The Logic of Representing Dependencies by Directed Graphs

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

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

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

Uncovering Trees in Constraint Networks

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

An application of rate-distortion theory to pattern recognition and classification

Judea Pearl, 1976, Pattern Recognit..

On Measurement Bias in Causal Inference pdf

Judea Pearl, J. Pearl, 2010, UAI.

Causal networks: semantics and expressiveness

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

Dynamic Constraint Networks

Judea Pearl, 1994 .

Bounds on memory versus error trade-offs in question-answering systems

Judea Pearl, Alain Crolotte, 1979, IEEE Trans. Inf. Theory.

Distributed diagnosis of systems with multiple faults

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

Axioms and Algorithms for Inferences Involving Probabilistic Independence

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

Application of Walsh Transformto

Judea Pearl, J. Pearl, 1971 .

Specification and Evaluation of Preferences Under Uncertainty

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

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

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

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

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

On the Identification of Causal Effects

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

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.

Temporal Constraint Networks

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

On the logic of causal models pdf

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

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

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

Studies in Semi-Admissible Heuristics

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

Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models pdf

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

Network-Based Heuristics for Constraint-Satisfaction Problems

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

Comment: Graphical Models, Causality and Intervention

Judea Pearl, J. Pearl, 2016 .

A Space-Efficient On-Line Method of Computing Quantile Estimates

Judea Pearl, 1981, J. Algorithms.

Causes of Effects and Effects of Causes

Judea Pearl, J. Pearl, 2015 .

Graphical Tools for Linear Structural Equation Modeling

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

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

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

A Causal Calculus for Statistical Research

Judea Pearl, J. Pearl, 1995, AISTATS.

UNCERTAINTY IN AI SYSTEMS

Judea Pearl, 1988 .

Learning bayesian networks from data

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

Qualitative Decision Theory

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

Some Recent Results in Heuristic Search Theory

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

On summarizing data using probabilistic assertions

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

A simple criterion for controlling selection bias

Judea Pearl, Eunice Yuh-Jie Chen, 2013, AISTATS.

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

Judea Pearl, J. Pearl, 1990 .

Comments on "Application of Walsh Transform to Statistical Analysis"

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

The optimality of A

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

Causal inference and the data-fusion problem

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

Counterfactual Probabilities: Computational Methods, Bounds and Applications

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

Generalizing causal knowledge: theory and algorithms

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

Transportability of Causal Effects: Completeness Results

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

Sensitivity Analysis of Linear Structural Causal Models

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

Causal Discovery from Changes: a Bayesian Approach

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

Structuring causal trees

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

Fusion, Propagation, and Structuring in Belief Networks

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

The Logic of Causal Inference

Judea Pearl, 2010 .

Search and Heuristics

Judea Pearl, 1983 .

Linear Models: A Useful “Microscope” for Causal Analysis

Judea Pearl, J. Pearl, 2013 .

Learning Link-Probabilities in Causal Trees pdf

Judea Pearl, Igor Roizen, 1986, UAI 1986.

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.

On Evidential Reasoning in a Hierarchy of Hypotheses

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

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

Judea Pearl, J. Pearl, 1994 .

Evidential Reasoning Using Stochastic Simulation of Causal Models

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

Time, frequency, sequency, and their uncertainty relations (Corresp.)

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

Causal Discovery from Changes pdf

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

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

Judea Pearl, J. Pearl, 2014 .

Logarithmic-Time Updates and Queries in Probabilistic Networks pdf

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

Tree Clustering for Constraint Networks

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

Searching for an Optimal Path in a Tree with Random Costs

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

Graphical Models for Inference with Missing Data

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

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

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

Influence Diagrams - Historical and Personal Perspectives

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

Intelligent Search Strategies for Computer Problem Solving

Judea Pearl, 1984 .

Estimation with Incomplete Data: The Linear Case

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

Structural Counterfactuals: A Brief Introduction

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

Probabilities Of Causation: Three Counterfactual Interpretations And Their Identification

Judea Pearl, J. Pearl, 1999, Synthese.

Recovering from Selection Bias in Causal and Statistical Inference

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

THEOPTI TYOFA'RMSITED'

Rina Dechter, Judea Pearl, 1983 .

Structural and probabilistic causality.

Judea Pearl, J. Pearl, 1996 .

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

Judea Pearl, J. Pearl, 2010 .

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

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

Specification and Evaluation of Preferences for Planning under Uncertainty

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

An Efficient Method for Bayesian Network Parameter Learning from Incomplete Data

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

Probabilistic reasoning in intelligent systems - networks of plausible inference

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

A General Algorithm for Deciding Transportability of Experimental Results

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

On Counterfactuals and Cognitive Science: Rumlhart Prize Symposium in Honor of Judea Pearl

Nick Chater, Lance J. Rips, Judea Pearl, 2011, CogSci.

Optimal Dyadic Models of Time-Invariant Systems

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

Testing regression models with fewer regressors

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

Asymptotic Properties of Discrete Unitary Transforms

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

On the complexity of deriving imprecise assertions

Judea Pearl, 1976 .

The Anatomy of Easy Problems: A Constraint-Satisfaction Formulation

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

From Bayesian networks to causal networks

Judea Pearl, J. Pearl, 1995 .

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

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

On the Equivalence of Causal Models pdf

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

The Optimality of A* Revisited

Rina Dechter, Judea Pearl, 1983, AAAI.

Structure Identification in Relational Data

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

An economic basis for certain methods of evaluating probabilistic forecasts

Judea Pearl, J. Pearl, 1978 .

A general identification condition for causal effects

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

Causes and explanations: A structural-model approach

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

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

Judea Pearl, J. Pearl, 1982, CACM.

MARKOV AND BAYESIAN NETWORKS: Two Graphical Representations of Probabilistic Knowledge

Judea Pearl, J. Pearl, 1988 .

Asymptotic rate-distortion functions for coding precedence relations (Corresp.)

Judea Pearl, Alain Crolotte, 1979, IEEE Trans. Inf. Theory.

A new characterization of the experimental implications of causal Bayesian networks

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

Identification of Conditional Interventional Distributions - eScholarship

Judea Pearl, Ilya Shpitser, 2006 .

Bandits with Unobserved Confounders: A Causal Approach

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

Bounds on Direct Effect in the Presence of Confounded Intermediate Variables - eScholarship

Jin Tian, Judea Pearl, Manabu Kuroki, 2008 .

Probabilistic foundations of reasoning with conditionals

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

Elasticity conditions for storage versus error exchange in question-Answering systems

Judea Pearl, Alain Crolotte, 1979, IEEE Trans. Inf. Theory.

Identifying independence in bayesian networks

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

Counterfactuals and Policy Analysis in Structural Models pdf

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

Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations pdf

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

What Counterfactuals Can Be Tested

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

Controlling Selection Bias in Causal Inference

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

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

Judea Pearl, J. Pearl, 2010, Epidemiology.

Technical Perspective Belief Propagation

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

Basis-restricted transformations and performance measures for spectral representations (Corresp.)

Judea Pearl, 1971, IEEE Trans. Inf. Theory.

What is Gained from Past Learning

Judea Pearl, 2018 .

LOGIC AND PROBABILITY: THE STRANGE CONNECTION

Judea Pearl, 1988 .

Missing Data as a Causal and Probabilistic Problem

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

Reasoning Under Uncertainty

Judea Pearl, J. Pearl, 1990 .

Empirical Semantics for Defeasible Databases

Judea Pearl, J. Pearl, 1992, JICSLP.

Deciding Morality of Graphs is NP-complete pdf

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

Specificity and Inheritance in Default Reasoning

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

On the Testable Implications of Causal Models with Hidden Variables pdf

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

Probabilistic evaluation of sequential plans from causal models with hidden variables

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

On the Complexity of Inexact Computations

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

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

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

A new characterization of graphs based on interception relations

Judea Pearl, Shmuel Ur, Azaria Paz, 1996, J. Graph Theory.

Chapter 5 – DISTRIBUTED REVISION OF COMPOSITE BELIEFS

Judea Pearl, 1988 .

Progress Toward a Goal-Directed Decision Support System.

Antonio Leal, Judea Pearl, Jin Kim, 1979 .

Dormant Independence

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

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

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

Asymptotic Complexity of Game-Searching Procedures

Judea Pearl, J. Pearl, 1980, MFCS.

Probabilistic reasoning using graphs

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

Counterfactual Data-Fusion for Online Reinforcement Learners

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

The Utility of Precision in Search Heuristics

Judea Pearl, J. Pearl, 1982, ECAI.

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.

Bayesian decision methods

Judea Pearl, J. Pearl, 1990 .

Consistent Estimation given Missing Data

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

Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables

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

From Conditional Oughts to Qualitative Decision Theory

Judea Pearl, J. Pearl, 1993, UAI.

Decision making under uncertainty

Judea Pearl, J. Pearl, 1996, CSUR.

A Characterization of Interventional Distributions in Semi-Markovian Causal Models

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

Probabilistic Analysis of the Complexity of A*

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

Goal-Directed Decision Structuring Systems.

Judea Pearl, Jin Kim, Robert Fiske, 1981 .

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

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

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.

Graphical Models for Processing Missing Data

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

On Testing Whether an Embedded Bayesian Network Represents a Probability Model

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

On the Testability of Causal Models With Latent and Instrumental Variables

Judea Pearl, J. Pearl, 1995, UAI.

Knowledge Versus Search: A Quantitative Analysis Using A*

Judea Pearl, 1983, 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.

Application of Walsh Transform to Statistical Analysis

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

On the Testability of Models with Missing Data

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

Causal inference from indirect experiments

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

The Seven Pillars of Causal Reasoning with Reflections on Machine Learning

Judea Pearl, J. Pearl, 2018 .

Probabilities of causation: Bounds and identification

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

Meta-Transportability of Causal Effects: A Formal Approach

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

Probabilistic Evaluation of Counterfactual Queries

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

Symbolic Causal Networks

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

Local Characterizations of Causal Bayesian Networks

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

Heuristic Search Theory: Survey of Recent Results

Judea Pearl, J. Pearl, 1981, IJCAI.

Aspects of Graphical Models Connected with Causality

Judea Pearl, J. Pearl, 2011 .

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

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

Modeling and solving sequential decision problems with uncertainty and partial information

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

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

Judea Pearl, J. Pearl, 1981, ICALP.

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

Judea Pearl, J. Pearl, 1990 .

Transportability across studies: A formal approach

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

A Framework for Processing Value Judgments

Judea Pearl, 1977, IEEE Transactions on Systems, Man, and Cybernetics.

Comments on Nozer Singpurwalla's “On Causality and Causal Mechanisms”

Judea Pearl, 2002 .

Causal Inference in the Health Sciences: A Conceptual Introduction

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

Transportability from Multiple Environments with Limited Experiments: Completeness Results

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

The algorithmization of counterfactuals

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

A Computational Model for Causal and Diagnostic Reasoning in Inference Systems

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

Imperfect Experiments: Bounding Effects and Counterfactuals

Judea Pearl, J. Pearl, 2009 .

Causal Diagrams

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

Causality: Preface to the First Edition

Judea Pearl, J. Pearl, 2009 .

The mathematics of causal inference

Judea Pearl, J. Pearl, 2011, KDD.

Axioms of Causal Relevance

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

Testing Identifiability of Causal Effects pdf

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

A Constraint-Propagation Approach to Probabilistic Reasoning

Judea Pearl, J. Pearl, 1985, UAI.

Graphical models, potential outcomes and causal inference: Comment on Linquist and Sobel

Judea Pearl, 2011, NeuroImage.

Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring

Ingrid Zukerman, Judea Pearl, 1986, AAAI.

Transportability from Multiple Environments with Limited Experiments

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

A Clinician's Tool for Analyzing Non-Compliance

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

GRAPHOIDS: AN AXIOMATIC CHARACTERIZATION OF GRAPHICAL REPRESENTATIONS

Judea Pearl, J. Pearl, 1992 .

Equivalence and Synthesis of Causal Models

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

Complete Identification Methods for the Causal Hierarchy

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

A Probabilistic Calculus of Actions

Judea Pearl, J. Pearl, 1994, UAI.

Embracing Causality in Default Reasoning

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

Memory Versus Error Characteristics for Inexact Representations of Linear Orders

Judea Pearl, 1976, IEEE Transactions on Computers.

Embracing Causality in Formal Reasoning

Judea Pearl, J. Pearl, 1987, AAAI.

Deciding Consistency of Databases Containing Defeasible and Strict Information pdf

Moisés Goldszmidt, Judea Pearl, 1989, UAI.

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.

Directed Constraint Networks: A Relational Framework for Causal Modeling

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

A Theory of Inferred Causation

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

Missing Data from a Causal Perspective

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

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

Judea Pearl, J. Pearl, 2018, WSDM.

Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data

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

Action as a Local Surgery

Judea Pearl, J. Pearl, 1995 .

On The Storage Economy Of Error-Tolerating Question-Answering Systems

Judea Pearl, 1975, IJCAI.

Preface to the ACM TIST Special Issue on Causal Discovery and Inference

Bernhard Schölkopf, Jiuyong Li, Kun Zhang, 2016, ACM Trans. Intell. Syst. Technol..

Causality and Counterfactuals in the Situation Calculus

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

ON THE CONNECTION BETWEEN THE COMPLEXITY AND CREDIBILITY OF INFERRED MODELS

Judea Pearl, J. Pearl, 1978 .

Readings in Uncertain Reasoning

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

Probabilistic Semantics for Nonmonotonic Reasoning: A Survey

Judea Pearl, J. Pearl, 1989, KR.

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.

Robustness of Causal Claims pdf

Judea Pearl, J. Pearl, 2004, UAI.

On the Logic of Probabilistic Dependencies

Judea Pearl, J. Pearl, 1986, AAAI.

d-Separation: From Theorems to Algorithms

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

Belief propagation: technical perspective

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

Distributedrevision of belief commitment in composite explanations

Judea Pearl, J. Pearl, 1986, UAI.

Probabilistic reasoning in intelligent systems

Judea Pearl, J. Pearl, 1988 .

Human and Machine Intelligence

Marvin Minsky, Raj Reddy, Barbara J. Grosz, 2012, ACM-TURING '12.

Rejoinder to comments on "reasoning with belief functions: An analysis of compatibility"

Judea Pearl, 1992, Int. J. Approx. Reason..

The recovery of causal poly-trees from statistical data pdf

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

Reasoning with Cause and Effect

Judea Pearl, J. Pearl, 1999, IJCAI.

Causal Transportability with Limited Experiments

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

A Framework for Reasoning with Defaults

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

Conditional independence and its representations

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

Causal Inference by Surrogate Experiments: z-Identifiability

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

Graphical methods for identification in structural equation models

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

Capacity and Error Estimates for Boolean Classifiers with Limited Complexity

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

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

Judea Pearl, J. Pearl, 2010, UAI.

Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach

Judea Pearl, J. Pearl, 1982, AAAI.

Unit Selection with Causal Diagram pdf

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

Causes of Effects: Learning individual responses from population data pdf

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

Exploiting Equality Constraints in Causal Inference

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

Bounds on Causal Effects and Application to High Dimensional Data pdf

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

A solution to a class of selection-bias problems

Judea Pearl, J. Pearl, 2012 .

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

Judea Pearl, J. Pearl, 2010 .

NON-BAYESIAN FORMALISMS FOR MANAGING UNCERTAINTY

Judea Pearl, 1988 .

Simpson's Paradox, Confounding, and Collapsibility

Judea Pearl, 2009 .

Nonparametric Bounds on Causal Effects from Partial Compliance Data

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

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

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

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

Judea Pearl, J. Pearl, 2009 .

Controlling Selection Bias in Causal Inference ( Supplementary Material )

Elias Bareinboim, Judea Pearl, 2012 .

Rejoinder to Discussions of Causal Diagrams for Empirical Research

Judea Pearl, J. Pearl, 1995 .

A Note on Causes of Effects

Judea Pearl, J. Pearl, 2014 .

Parameter identification: A new perspective

Judea Pearl, 2011 .

Causal Inference Without Counterfactuals: Comment

Judea Pearl, 2000 .

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

Judea Pearl, 2019, Journal of Causal Inference.

BELIEF UPDATING BY NETWORK PROPAGATION

Judea Pearl, J. Pearl, 1988 .

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

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

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

Judea Pearl, J. Pearl, 1998 .

Confounding Equivalence in Observational Studies

Judea Pearl, J. Pearl, 2009 .

Causality by Judea Pearl

Judea Pearl, 2009 .

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

Judea Pearl, Carlos Cinelli, 2018, Epidemiology.

Structure of Superconductive Vortices near a Metal‐Air Interface

Judea Pearl, J. Pearl, 1966 .

Causality: Introduction to Probabilities, Graphs, and Causal Models

Judea Pearl, 2009 .

GRAPHOIDS: A Graph-based logic for reasoning about relevance relations

Judea Pearl, Azaria Paz, 1985 .

Mediating Instrumental Variables

Judea Pearl, J. Pearl, 2011 .

Title Bounds on Treatment Effects from Studies with Imperfect Compliance Permalink

Judea Pearl, Alexander Balke, 1997 .

Artificial Intelligence Techniques

Alan Bundy, Ian Frank, Alan Smaill, 1997, Springer Berlin Heidelberg.

COMMENTS ON NEUBERG'S REVIEW OF CAUSALITY

Judea Pearl, 2003, Econometric Theory.