Richard Scheines

发表

Combining Experiments to Discover Linear Cyclic Models with Latent Variables

Frederick Eberhardt, Patrik O. Hoyer, Richard Scheines, 2010, AISTATS.

N-1 Experiments Suffice to Determine the Causal Relations Among N Variables

Frederick Eberhardt, Richard Scheines, Clark Glymour, 2006 .

Genetic Algorithm Search Over Causal Models

Richard Scheines, Shane Harwood, 2002 .

Unsupervised Discovery of Student Strategies

Kenneth R. Koedinger, Richard Scheines, Benjamin Shih, 2010, EDM.

Towards Association Rules with Hidden Variables

Richard Scheines, Ricardo Bezerra de Andrade e Silva, 2006, PKDD.

Computer Environments for Proof Construction

Richard Scheines, Wilfried Sieg, 1994, Interact. Learn. Environ..

Using Artificial Intelligence to Aid in the Development of Causal Models

Richard Scheines, Clark Glymour, Peter Spirtes, 1990 .

Will Google destroy western democracy? Bias in policy problem solving

Vincent Aleven, Richard Scheines, Matthew W. Easterday, 2009, AIED.

Piecewise Linear Instrumental Variable Estimation of Causal Influence

Richard Scheines, Gregory F. Cooper, Changwon Yoo, 2001, AISTATS.

Learning Measurement Models for Unobserved Variables

Richard Scheines, Clark Glymour, Ricardo Bezerra de Andrade e Silva, 2002, UAI.

Simulation Studies of the Reliability of Computer-Aided Model Specification Using the TETRAD II, EQS, and LISREL Programs

Richard Scheines, Clark Glymour, Peter Spirtes, 1990 .

The center for causal discovery of biomedical knowledge from big data

Richard Scheines, Gregory F. Cooper, Clark Glymour, 2015, J. Am. Medical Informatics Assoc..

Reply to Freedman

Richard Scheines, Peter Spirtes, 1996 .

Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling

Richard Scheines, Kevin T. Kelly, Clark Glymour, 1987 .

Simulating Genetic Regulartory Networks

Richard Scheines, Joseph Ramsey, 2001 .

Development of Intelligent, Computerized Aids for the Specification of Casual Models from Large Data Bases

Richard Scheines, Clark Glymour, Peter Spirtes, 1992 .

Learning the Structure of Linear Latent Variable Models

Richard Scheines, Clark Glymour, Ricardo Bezerra de Andrade e Silva, 2006, J. Mach. Learn. Res..

Exploring Causal Structure with the TETRAD Program

Richard Scheines, Clark Glymour, Peter Spirtes, 1988 .

Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter?

Richard Scheines, Martina A. Rau, Ryan Carlson, 2013, EDM.

Finding latent variable models in large databases

Richard Scheines, Peter Spirtes, P. Spirtes, 1992, Int. J. Intell. Syst..

A qualitative approach to causal modeling

Richard Scheines, Clark Glymour, Peter Spirtes, 1991 .

Is the Doer Effect Robust Across Multiple Data Sets?

Kenneth R. Koedinger, Richard Scheines, Peter Schaldenbrand, 2018, EDM.

Causal discovery of linear acyclic models with arbitrary distributions

Aapo Hyvärinen, Patrik O. Hoyer, Richard Scheines, 2008, UAI.

A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurements with Microarrays

Richard Scheines, Clark Glymour, Peter Spirtes, 2003, Bioinform..

Constructing Bayesian Network Models of Gene Expression Networks from Microarray Data

Richard Scheines, Clark Glymour, Stuart Kauffman, 2000 .

Using Tutors to Improve Educational Games

Vincent Aleven, Richard Scheines, Matthew W. Easterday, 2011, AIED.

Tetrad II: User's Manual

Richard Scheines, Christopher Meek, Clark Glymour, 1994 .

THE PROBLEMS OF SCIENCE WITHOUT EXPERIMENTS

Richard Scheines, Kevin T. Kelly, Clark Glymour, 1987 .

A Response Time Model For Bottom-Out Hints as Worked Examples

Kenneth R. Koedinger, Richard Scheines, Benjamin Shih, 2008, EDM.

Optimizing Student Models for Causality

Kenneth R. Koedinger, Richard Scheines, Benjamin Shih, 2007, AIED.

Causation, Prediction, and Search, Second Edition

Richard Scheines, Clark Glymour, Peter Spirtes, 2000, Adaptive computation and machine learning.

Inferring causal structure in mixed populations

Richard Scheines, Clark Glymour, P. Spirtes, 1993 .

Semi-Instrumental Variables: A Test for Instrument Admissibility pdf

Richard Scheines, Peter Spirtes, Tianjiao Chu, 2001, UAI.

Estimating Latent Causal Influe nces: TETRAD III Variable Selection and Bayesian Parameter Estimation

Richard Scheines, R. Scheines, 2000 .

Discovering Prerequisite Relationships Among Knowledge Components

Richard Scheines, Ilya M. Goldin, Elizabeth Silver, 2014, EDM.

Developing and Deploying Online Courses with Jcourse

Richard Scheines, David Danks, Joseph Ramsey, 2001 .

Measurement Error and Causal Discovery

Richard Scheines, Joseph Ramsey, R. Scheines, 2016, CFA@UAI.

12 – RUNNING TETRAD

Richard Scheines, Kevin T. Kelly, Clark Glymour, 1987 .

'Tis Better to Construct than to Receive? The Effects of Diagram Tools on Causal Reasoning

Vincent Aleven, Richard Scheines, Matthew W. Easterday, 2007, AIED.

Truth is among the best explanations: Finding causal explanations of conditional independence and dependence

Richard Scheines, Christopher Meek, Clark Glymour, 1999 .

Actual causation: a stone soup essay

Choh Man Teng, Frederick Eberhardt, Richard Scheines, 2009, Synthese.

Causal modeling with the TETRAD program

Richard Scheines, Clark Glymour, C. Glymour, 1986, Synthese.

Generalized measurement models

Richard Scheines, Ricardo Silva, R. Scheines, 2005 .

Bayesian learning of measurement and structural models

Richard Scheines, Ricardo Bezerra de Andrade e Silva, R. Scheines, 2006, ICML.

TETRAD: Discovering Causal Structure.

Richard Scheines, Clark Glymour, Peter Spirtes, 1988, Multivariate behavioral research.

TETRAD II : tools for causal modeling

Richard Scheines, Christopher Meek, Clark Glymour, 1994 .

Regression, Causation and Prediction

Richard Scheines, Clark Glymour, Peter Spirtes, 1993 .

An Experimental Comparison of Alternative Proof Construction Environments

Richard Scheines, Wilfried Sieg, R. Scheines, 1993 .

Replacing Lecture with Web-Based Course Materials

Richard Scheines, Gaea Leinhardt, Kwangsu Cho, 2005 .

8 – CASE STUDIES

Richard Scheines, Kevin T. Kelly, Clark Glymour, 1987 .

Discovery Algorithms for Causally Sufficient Structures

Richard Scheines, Clark Glymour, Peter Spirtes, 1993 .

TETRAD II: Tools for Discovery

Richard Scheines, Christopher Meek, Clark Glymour, 1994 .

Building Latent Variable Models

Richard Scheines, Clark Glymour, Peter Spirtes, 1991 .

On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables pdf

Frederick Eberhardt, Richard Scheines, Clark Glymour, 2005, UAI.

Elaborating Linear Theories with Unmeasured Variables

Richard Scheines, Clark Glymour, Peter Spirtes, 1993 .

Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations

Richard Scheines, Martina A. Rau, 2012, EDM.

7 – SIMULATION STUDIES

Richard Scheines, Kevin T. Kelly, Clark Glymour, 1987 .

Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models

Vincent Aleven, Richard Scheines, Nikol Rummel, 2013, EDM.

Teaching Causal and Statistical Reasoning

Richard Scheines, 2005 .

Constructing Causal Diagrams to Learn Deliberation

Vincent Aleven, Richard Scheines, Matthew W. Easterday, 2009, Int. J. Artif. Intell. Educ..

Causal Clustering for 1-Factor Measurement Models

Richard Scheines, Erich Kummerfeld, Renjie Yang, 2016, KDD.

OBJECTIONS TO DISCOVERY BY COMPUTER

Richard Scheines, Kevin T. Kelly, Clark Glymour, 1987 .

New d-separation identification results for learning continuous latent variable models

Richard Scheines, Ricardo Bezerra de Andrade e Silva, R. Scheines, 2005, ICML.

Comorbid science? 1

Richard Scheines, David Danks, Clark Glymour, 2010, Behavioral and Brain Sciences.

Automated Search for Causal Relations: Theory and Practice

Richard Scheines, Clark Glymour, Peter Spirtes, 2010 .

An introduction to Causal Inference

Richard Scheines, R. Scheines, 1996 .

Searching for Proofs (in Sentential Logic)

Richard Scheines, Sieg, R. Scheines, 1990 .

Feature Discovery in the Context of Bayes Nets : An Inductive Approach

Richard Scheines, Joseph E. Beck, Andrew Arnold, 2005 .

When Are Multidimensional Data Unidimensional Enough for Structural Equation Modeling? An Evaluation of the DETECT Multidimensionality Index

Richard Scheines, Rob R. Meijer, Steven P. Reise, 2015 .

Discovery Algorithms without Causal Sufficiency

Richard Scheines, Clark Glymour, Peter Spirtes, 1993 .

CAUSAL AND STATISTICAL MODELS

Richard Scheines, Kevin T. Kelly, Clark Glymour, 1987 .

Multidimensionality and Structural Coefficient Bias in Structural Equation Modeling

Richard Scheines, Steven P. Reise, Mark G. Haviland, 2013 .

Using D-Separation to Calculate Zero Partial Correlations in Linear Models with Correlated Errors

Richard Scheines, Christopher Meek, Thomas S. Richardson, 1996 .

Teaching and Learning with Online Courses

Richard Scheines, Gaea Leinhardt, Kwangsu Cho, 2002 .

Using Tutors to Improve Educational Games: A Cognitive Game for Policy Argument

Vincent Aleven, Richard Scheines, Matthew W. Easterday, 2017 .

Richard Scheines, R. Scheines, 2005, Philosophy of Science.

Time and Attention: Students, Sessions, and Tasks

Richard Scheines, Andrew Arnold, Bill Jerome, 2005 .

The Tetrad Project

Richard Scheines, Clark Glymour, Peter Spirtes, 1990 .

Causation and Prediction: Axioms and Explications

Richard Scheines, Clark Glymour, Peter Spirtes, 1993 .

The Structure of the Unobserved

Richard Scheines, Clark Glymour, Peter Spirtes, 1993 .

Unidimensional Linear Latent Variable Models

Richard Scheines, 1993 .

Single Mothers' Self-Efficacy, Parenting in the Home Environment, and Children's Development in a Two-Wave Study

Richard Scheines, R. Scheines, A. Jackson, 2005 .

Public administration and health care: estimating latent causal influences: TETRAD III variable selection and Bayesian parameter estimation

Richard Scheines, R. Scheines, 2002 .

Coherence and Confirmation through Causation

Richard Scheines, Gregory Wheeler, R. Scheines, 2013 .

Evidence of systematic expressed sequence tag IMAGE clone cross-hybridization on cDNA microarrays.

Larry Wasserman, Richard Scheines, Clark Glymour, 2004, Genomics.

Computation and Causation

Richard Scheines, R. Scheines, 2002 .

Introduction and Advertisement

Richard Scheines, Clark Glymour, Peter Spirtes, 1993 .