Judea Pearl

Q: What Schools Are Affiliated With Judea Pearl

Judea Pearl is affiliated with the following schools: New York University Tandon School of Engineering, Rutgers University, University of California, Los Angeles, Technion – Israel Institute of Technology, Griffith University

Why Is Judea Pearl Influential?

According to Wikipedia, Judea Pearl is an Israeli-American computer scientist and philosopher, best known for championing the probabilistic approach to artificial intelligence and the development of Bayesian networks . He is also credited for developing a theory of causal and counterfactual inference based on structural models . In 2011, the Association for Computing Machinery awarded Pearl with the Turing Award, the highest distinction in computer science, "for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning". He is the author of several books, including the technical Causality: Models, Reasoning and Inference, and The Book of Why, a book on causality aimed at the general public.

Judea Pearl's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Papers

Probabilistic reasoning in intelligent systems - networks of plausible inference (1989) (18050)
Causality: Models, Reasoning and Inference (2000) (10680)
Probabilistic reasoning in intelligent systems (1988) (4478)
Fusion, Propagation, and Structuring in Belief Networks (1986) (2151)
Temporal Constraint Networks (1989) (2118)
Heuristics - intelligent search strategies for computer problem solving (1984) (1946)
Causal diagrams for empirical research (1995) (1800)
Direct and Indirect Effects (2001) (1525)
Causal diagrams for epidemiologic research. (1999) (1414)
Causal inference in statistics: An overview (2009) (1284)
Equivalence and synthesis of causal models (1990) (1182)
Bayesian Networks (1998) (1142)
Causal diagrams for epidemiologic research. (1999) (1066)
Generalized best-first search strategies and the optimality of A* (1985) (998)
Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach (1982) (871)
A Theory of Inferred Causation (1991) (819)
Confounding and Collapsibility in Causal Inference (1999) (708)
Causal Inference (2010) (692)
Tree Clustering for Constraint Networks (1989) (627)
Causes and Explanations: A Structural-Model Approach. Part I: Causes (2005) (573)
Chapter 2 – BAYESIAN INFERENCE (1988) (570)
Network-Based Heuristics for Constraint-Satisfaction Problems (1987) (555)
CURRENT DISTRIBUTION IN SUPERCONDUCTING FILMS CARRYING QUANTIZED FLUXOIDS (1964) (517)
Bounds on Treatment Effects from Studies with Imperfect Compliance (1997) (516)
Causal Inference in Statistics: A Primer (2016) (494)
Identifying independence in bayesian networks (1990) (494)
Causal networks: semantics and expressiveness (1988) (464)
On the Logic of Iterated Belief Revision (1994) (445)
Network-based heuristics for constraint satisfaction problems (1988) (432)
System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning (1990) (416)
Readings in Uncertain Reasoning (1990) (408)
A Computational Model for Causal and Diagnostic Reasoning in Inference Systems (1983) (399)
Evidential Reasoning Using Stochastic Simulation of Causal Models (1987) (396)
EIGHT MYTHS ABOUT CAUSALITY AND STRUCTURAL EQUATION MODELS (2013) (394)
Causes and explanations: A structural-model approach (2000) (375)
Causal inference and the data-fusion problem (2016) (357)
External Validity: From Do-Calculus to Transportability Across Populations (2015) (317)
Qualitative Probabilities for Default Reasoning, Belief Revision, and Causal Modeling (1996) (315)
The Book of Why: The New Science of Cause and Effect (2018) (311)
Interpretation and Identification of Causal Mediation (2014) (308)
Graphs, Causality, and Structural Equation Models (1998) (279)
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation (1992) (272)
A general identification condition for causal effects (2002) (272)
Causal Diagrams (2011) (271)
The Causal Mediation Formula—A Guide to the Assessment of Pathways and Mechanisms (2011) (254)
Identifiability of Path-Specific Effects (2005) (244)
The seven tools of causal inference, with reflections on machine learning (2019) (237)
The Causal Foundations of Structural Equation Modeling (2012) (235)
Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models (2006) (226)
Conditional Entailment: Bridging two Approaches to Default Reasoning (1992) (224)
On the logic of iterated belief revision (1994) (221)
A Constraint-Propagation Approach to Probabilistic Reasoning (1985) (217)
GRAPHOIDS: A Graph-based logic for reasoning about relevance relations (1985) (214)
Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions (1992) (206)
Distributed Revision of Composite Beliefs (1987) (204)
Causes and Explanations: A Structural-Model Approach. Part II: Explanations (2005) (204)
Reasoning with belief functions: An analysis of compatibility (1990) (203)
The recovery of causal poly-trees from statistical data (1987) (196)
Counterfactual Probabilities: Computational Methods, Bounds and Applications (1994) (190)
Transportability of Causal and Statistical Relations: A Formal Approach (2011) (187)
d-Separation: From Theorems to Algorithms (1989) (185)
An Introduction to Causal Inference (2010) (185)
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution (2018) (181)
An Axiomatic Characterization of Causal Counterfactuals (1998) (179)
Statistics and causal inference: A review (2003) (178)
Probabilistic Semantics for Nonmonotonic Reasoning: A Survey (1989) (176)
A Maximum Entropy Approach to Nonmonotonic Reasoning (1993) (175)
Identification of Conditional Interventional Distributions (2006) (170)
Studies in Semi-Admissible Heuristics (1982) (161)
On Evidential Reasoning in a Hierarchy of Hypotheses (1986) (160)
Asymptotic Properties of Minimax Trees and Game-Searching Procedures (1980) (159)
Logical and Algorithmic Properties of Conditional Independence and Graphical Models (1993) (157)
Complete Identification Methods for the Causal Hierarchy (2008) (155)
Probabilistic evaluation of sequential plans from causal models with hidden variables (1995) (155)
Structure Identification in Relational Data (1992) (147)
A General Algorithm for Deciding Transportability of Experimental Results (2013) (144)
Invited commentary: understanding bias amplification. (2011) (142)
The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models (2011) (142)
The Logic of Representing Dependencies by Directed Graphs (1987) (142)
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates (2010) (141)
Comment: Understanding Simpson’s Paradox (2014) (141)
On the logic of causal models (1988) (139)
Measurement bias and effect restoration in causal inference (2014) (138)
[Bayesian Analysis in Expert Systems]: Comment: Graphical Models, Causality and Intervention (1993) (137)
On the Testable Implications of Causal Models with Hidden Variables (2002) (137)
Qualitative Decision Theory (1994) (137)
Probabilistic Evaluation of Counterfactual Queries (1994) (133)
Embracing Causality in Default Reasoning (1988) (131)
Graphical Models for Probabilistic and Causal Reasoning (1997) (129)
From Conditional Oughts to Qualitative Decision Theory (1993) (127)
Generalized Instrumental Variables (2002) (118)
Controlling Selection Bias in Causal Inference (2012) (118)
Probabilities of causation: Bounds and identification (2004) (117)
3. The Foundations of Causal Inference (2010) (116)
Causal inference in statistics (2016) (116)
Belief Networks Revisited (1993) (116)
On the Consistency Rule in Causal Inference: Axiom, Definition, Assumption, or Theorem? (2010) (115)
ON THE CONNECTION BETWEEN THE COMPLEXITY AND CREDIBILITY OF INFERRED MODELS (1978) (115)
The solution for the branching factor of the alpha-beta pruning algorithm and its optimality (1982) (114)
Graphical Models for Inference with Missing Data (2013) (114)
On the Testability of Causal Models With Latent and Instrumental Variables (1995) (112)
Comparison of the cosine and Fourier transforms of Markov-1 signals (1976) (108)
Axioms and Algorithms for Inferences Involving Probabilistic Independence (1991) (106)
Causal Discovery from Changes (2001) (106)
Principal Stratification -- a Goal or a Tool? (2011) (106)
On the Identification of Causal Effects (2015) (104)
Causal Inference in the Health Sciences: A Conceptual Introduction (2004) (103)
Recovering from Selection Bias in Causal and Statistical Inference (2014) (102)
A Probabilistic Calculus of Actions (1994) (101)
Bounds on direct effects in the presence of confounded intermediate variables. (2008) (99)
Intelligent Search Strategies for Computer Problem Solving (1984) (96)
Causal Counterfactual Theory for the Attribution of Weather and Climate-Related Events (2016) (95)
Linear Models: A Useful “Microscope” for Causal Analysis (2013) (95)
On coding and filtering stationary signals by discrete Fourier transforms (Corresp.) (1973) (94)
Axioms of Causal Relevance (1997) (92)
Structure of Superconductive Vortices near a Metal‐Air Interface (1966) (91)
Searching for an Optimal Path in a Tree with Random Costs (1983) (90)
Comment: Graphical Models, Causality and Intervention (2016) (89)
Transportability of Causal Effects: Completeness Results (2012) (88)
Bandits with Unobserved Confounders: A Causal Approach (2015) (87)
Counterfactuals and Policy Analysis in Structural Models (1995) (86)
Graphoids: Graph-Based Logic for Reasoning about Relevance Relations or When would x tell you more about y if you already know z? (1986) (83)
Structuring causal trees (1986) (83)
A New Identification Condition for Recursive Models With Correlated Errors (2002) (83)
Causal Inference by Surrogate Experiments: z-Identifiability (2012) (83)
Reasoning with Cause and Effect (1999) (82)
Probabilities Of Causation: Three Counterfactual Interpretations And Their Identification (2004) (82)
Testing Identifiability of Causal Effects (1995) (80)
Causal inference from indirect experiments (1995) (78)
Tree-Clustering Schemes for Constraint-Processing (1988) (78)
Identifying Independencies in Causal Graphs with Feedback (1996) (77)
Bayesianism and Causality, or, Why I am Only a Half-Bayesian (2001) (77)
Remarks on the method of propensity score. (2009) (76)
Adjustments and their Consequences—Collapsibility Analysis using Graphical Models (2010) (74)
Convince: A Conversational Inference Consolidation Engine (1987) (73)
Studies in causal reasoning and learning (2002) (72)
What Counterfactuals Can Be Tested (2007) (72)
On the Consistency of Defeasible Databases (1992) (70)
On the nature of pathology in game searching (1983) (70)
Embracing Causality in Formal Reasoning (1987) (70)
Myth, Confusion, and Science in Causal Analysis (2009) (69)
How to Do with Probabilities What People Say You Can't (1985) (69)
On Measurement Bias in Causal Inference (2010) (68)
System-Z+: A Formalism for Reasoning with Variable-Strength Defaults (1991) (67)
The optimality of A (1988) (67)
Specification and Evaluation of Preferences Under Uncertainty (1994) (65)
Meta-Transportability of Causal Effects: A Formal Approach (2013) (65)
The Do-Calculus Revisited (2012) (63)
From Bayesian networks to causal networks (1995) (63)
A Framework for Reasoning with Defaults (1990) (62)
Transportability from Multiple Environments with Limited Experiments: Completeness Results (2014) (62)
A Minimax Algorithm Better Than Alpha-Beta? Yes and No (1983) (61)
A Clinician's Tool for Analyzing Non-Compliance (1996) (60)
Why there is no statistical test for confounding, why many think there is, and why they are almost right (1998) (60)
Effects of Treatment on the Treated: Identification and Generalization (2009) (58)
Trygve Haavelmo and the Emergence of Causal Calculus (2013) (57)
An Improved Constraint-Propagation Algorithm for Diagnosis (1987) (57)
Transportability across studies: A formal approach (2011) (57)
Knowledge Versus Search: A Quantitative Analysis Using A* (1983) (56)
Symbolic Causal Networks (1994) (55)
Causation, Action and Counterfactuals (1996) (55)
Some Recent Results in Heuristic Search Theory (1984) (54)
Learning Causal Trees from Dependence Information (1990) (53)
Influence Diagrams - Historical and Personal Perspectives (2005) (51)
Bayesian and belief-functions formalisms for evidential reasoning: a conceptual analysis (1990) (51)
Performance Measures for Transform Data Coding (1972) (50)
Conditional independence and its representations (1989) (50)
GODDESS: A Goal-Directed Decision Structuring System (1982) (50)
Graphical Models, Causality, and Intervention (2011) (50)
Graphical Models for Processing Missing Data (2018) (49)
The electrical conductance properties of blood in motion. (1962) (49)
Generalizing Experimental Findings (2015) (47)
On the Discovery and Generation of Certain Heuristics (1983) (47)
Causal Inference Without Counterfactuals: Comment (2000) (47)
Probabilistic Analysis of the Complexity of A* (1980) (47)
Learning simple causal structures (1993) (46)
Understanding Simpson's Paradox (2013) (46)
Jeffrey's Rule, Passage of Experience, and Neo-Bayesianism (1990) (46)
Reasoning with Qualitative Probabilities Can Be Tractable (1992) (46)
Letter to the Editor: Remarks on the Method of Propensity Score (2009) (44)
Causes of Effects and Effects of Causes (2015) (43)
Directed Constraint Networks: A Relational Framework for Causal Modeling (1991) (43)
Regression and Causation: A Critical Examination of Six Econometrics Textbooks (2013) (43)
Counterfactual Data-Fusion for Online Reinforcement Learners (2017) (43)
Bayesian decision methods (1990) (42)
Lord’s Paradox Revisited – (Oh Lord! Kumbaya!) (2016) (42)
Causal Transportability with Limited Experiments (2013) (40)
Graphical Tools for Linear Structural Equation Modeling (2014) (40)
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data (2014) (40)
A statistical semantics for causation (1992) (39)
On logic and probability (1988) (39)
Clarifying the Usage of Structural Models for Commonsense Causal Reasoning (2003) (39)
Heuristic Search Theory: Survey of Recent Results (1981) (38)
On probability intervals (1988) (38)
Application of Walsh Transform to Statistical Analysis (1971) (38)
Reasoning Under Uncertainty (1990) (38)
Logarithmic-Time Updates and Queries in Probabilistic Networks (1995) (38)
Robustness of Causal Claims (2004) (37)
On the Nature of Pathology in Game Searching (1983) (37)
Asymptotic Properties of Discrete Unitary Transforms (1979) (37)
Structural and probabilistic causality. (1996) (36)
Aspects of Graphical Models Connected with Causality (2011) (36)
On the Testability of Models with Missing Data (2014) (36)
Causal Discovery from Changes: a Bayesian Approach (2001) (35)
Dormant Independence (2008) (35)
Missing Data as a Causal and Probabilistic Problem (2015) (35)
Does Obesity Shorten Life? Or is it the Soda? On Non-manipulable Causes (2018) (34)
A graphical criterion for the identification of causal effects in linear models (2002) (34)
The Anatomy of Easy Problems: A Constraint-Satisfaction Formulation (1985) (34)
Do we need higher-order probabilities, and, if so, what do they mean? (1988) (33)
Detecting Latent Heterogeneity (2013) (33)
Structural Counterfactuals: A Brief Introduction (2013) (33)
The algorithmization of counterfactuals (2011) (32)
Graphical Condition for Identification in recursive SEM (2006) (31)
When can association graphs admit a causal interpretation (1994) (31)
From Adams' conditionals to default expressions, causal conditionals, and counterfactuals (1994) (31)
Simpson's Paradox: An Anatomy (2011) (31)
A Crash Course in Good and Bad Controls (2020) (30)
Basis-restricted transformations and performance measures for spectral representations (Corresp.) (1971) (30)
SCOUT: A Simple Game-Searching Algorithm with Proven Optimal Properties (1980) (28)
An Interactive Program Fo Conversational Elicitation of Decision Structures (1977) (27)
Causality and Counterfactuals in the Situation Calculus (2007) (26)
Random geometric graphs: an algorithmic perspective (2006) (26)
The Deductive Approach to Causal Inference (2014) (26)
Testable Implications of Linear Structural Equation Models (2014) (25)
The Optimality of A* Revisited (1983) (25)
Local Characterizations of Causal Bayesian Networks (2011) (25)
Causal and diagnostic inferences: A comparison of validity (1981) (24)
COMMENTS ON NEUBERG'S REVIEW OF CAUSALITY (2003) (24)
Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring (1986) (24)
Transportability from Multiple Environments with Limited Experiments (2013) (23)
An economic basis for certain methods of evaluating probabilistic forecasts (1978) (23)
Evidential reasoning under uncertainty (1988) (23)
Optimal Dyadic Models of Time-Invariant Systems (1975) (23)
Learning bayesian networks from data (1996) (23)
Artificial Intelligence Techniques (1997) (23)
Sensitivity Analysis of Linear Structural Causal Models (2019) (23)
Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation (2002) (22)
The structural theory of causation (2011) (21)
AI's greatest trends and controversies (2000) (21)
Causal diagrams for empirical researchRejoinder to Discussions of ‘Causal diagrams for empirical research’ (1995) (21)
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data (2015) (19)
Logical and algorithmic properties of independence and their application to Bayesian networks (2005) (19)
Rejoinder to comments on "reasoning with belief functions: An analysis of compatibility" (1992) (19)
The New Challenge: From a Century of Statistics to an Age of Causation (1997) (19)
Symbolic Causal Networks for Reasoning about Actions and Plans (1994) (19)
Waish Processing of Random Signals (1971) (19)
Specification and Evaluation of Preferences for Planning under Uncertainty (1994) (19)
Reply to commentary by Imai, Keele, Tingley, and Yamamoto concerning causal mediation analysis. (2014) (18)
Recoverability and Testability of Missing Data: Introduction and Summary of Results (2013) (18)
Decision making under uncertainty (1996) (18)
Capacity and Error Estimates for Boolean Classifiers with Limited Complexity (1979) (18)
The Logic of Counterfactuals in Causal Inference (2000) (17)
On the Interpretation of do ( x ) (2019) (17)
Tree Decomposition with Applications to Constraint Processing (1990) (16)
Graphical methods for identification in structural equation models (2003) (16)
Distributed diagnosis of systems with multiple faults (1992) (16)
The Logic of Causal Inference (2010) (16)
Causal Inference in Statistics: an Introduction (16)
Statistics and causality: separated to reunite-commentary on Bryan Dowd's "separated at birth". (2011) (15)
Title Bounds on Treatment Effects from Studies with Imperfect Compliance Permalink (1997) (15)
Confounding Equivalence in Causal Inference (2010) (15)
Mediating Instrumental Variables (2011) (15)
Graphical models, potential outcomes and causal inference: Comment on Linquist and Sobel (2011) (15)
Challenging the hegemony of randomized controlled trials: A commentary on Deaton and Cartwright. (2018) (15)
Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables (2016) (15)
BELIEF UPDATING BY NETWORK PROPAGATION (1988) (14)
MARKOV AND BAYESIAN NETWORKS: Two Graphical Representations of Probabilistic Knowledge (1988) (14)
Missing Data as a Causal Inference Problem (2013) (14)
Nonparametric Bounds on Causal Effects from Partial Compliance Data (2011) (14)
Belief propagation: technical perspective (2010) (14)
Unit Selection Based on Counterfactual Logic (2019) (14)
Causal Inference from Big Data: Theoretical Foundations and the Data-fusion Problem (2015) (14)
On the Definition of Actual Cause (draft Copy { Comments Are Welcome) (1998) (14)
A solution to a class of selection-bias problems (2012) (13)
Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations (1986) (13)
The Curse of Free-Will and the Paradox of Inevitable Regret (2010) (13)
On the Logic of Probabilistic Dependencies (1986) (12)
Theoretical bounds on the complexity of inexact computations (1976) (12)
Search and Heuristics (1983) (12)
Causality in the Social and Behavioral Sciences (2010) (12)
A Space-Efficient On-Line Method of Computing Quantile Estimates (1981) (12)
On the Interpretation of do(x)do(x) (2019) (12)
Probabilistic reasoning using graphs (1986) (12)
Causality: Introduction to Probabilities, Graphs, and Causal Models (2009) (11)
Causal and Counterfactual Inference (2018) (11)
Simpson's Paradox, Confounding, and Collapsibility (2009) (11)
A Characterization of Interventional Distributions in Semi-Markovian Causal Models (2006) (11)
Asymptotic equivalence of spectral representations (1975) (11)
On the Storage Economy of Inferential Question-Answering Systems (1975) (11)
Some Thoughts Concerning Transfer Learning, with Applications to Meta-Analysis and Data-Sharing Estimation (2012) (10)
On the residual correlation of finite-dimensional discrete Fourier transforms of stationary signals (Corresp.) (1975) (10)
Learning structure from data: a survey (1989) (10)
Specificity and Inheritance in Default Reasoning (1995) (10)
A Maximum Entropy Approach to NOIl notonic (2007) (10)
Estimation with Incomplete Data: The Linear Case (2018) (10)
The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm (1981) (9)
Interpretable Conditions for Identifying Direct and Indirect Effects (2012) (9)
Physical and Metaphysical Counterfactuals: Evaluating Disjunctive Actions (2017) (9)
The Mathematics of Causal Relations (2010) (9)
Nancy Cartwright on Hunting Causes (2010) (9)
A problem simplification approach that generates heuristics for constraint-satisfaction problems (1988) (9)
Time, frequency, sequency, and their uncertainty relations (Corresp.) (1973) (8)
Learning Hidden Causes from Empirical Data (1985) (8)
Testing regression models with fewer regressors (1999) (8)
Note on ‘‘Generalizability of Study Results‘‘ (2019) (8)
Bounds on memory versus error trade-offs in question-answering systems (1979) (8)
Confounding Equivalence in Observational Studies (2009) (8)
The new science of cause and effect, with reflections on data science and artificial intelligence (2019) (8)
A new characterization of the experimental implications of causal Bayesian networks (2002) (8)
An application of rate-distortion theory to pattern recognition and classification (1976) (8)
Reflections on Heckman and Pinto's Causal Analysis After Haavelmo (2013) (8)
Review of N . Cartwright “ Hunting Causes and Using Them ” (2008) (8)
Complete identification methods for causal inference (2008) (8)
On Testing Whether an Embedded Bayesian Network Represents a Probability Model (1994) (7)
On Two Pseudo-Paradoxes in Bayesian Analysis (2004) (7)
From Imaging and Stochastic Control to a Calculus of Actions (1994) (7)
Deciding Morality of Graphs is NP-complete (1993) (7)
Exogeneity and Robustness (2015) (7)
REPLY TO WOODWARD (2003) (7)
Recognition of Handwritten Chinese Characters by Modified Hough Transform Techniques (1989) (7)
Elasticity conditions for storage versus error exchange in question-Answering systems (1979) (7)
Comment on Ding and Miratrix: “To Adjust or Not to Adjust?” (2015) (7)
Comment on ‘Causal inference, probability theory, and graphical insights’ by Stuart G. Baker. (2013) (7)
Deciding Consistency of Databases Containing Defeasible and Strict Information (1989) (7)
Comments on: The tale wagged by the DAG. (2018) (7)
An Interactive Program for Conversational Elecitation of Decision Structures. (1977) (7)
On coding precedence relations with a pair-ordering fidelity criterion (Corresp.) (1976) (7)
On the Identification of Nonparametric Structural Models (1997) (7)
The Utility of Precision in Search Heuristics (1982) (6)
Title Identifiability of Path-Specific Effects Permalink (2005) (6)
On the Complexity of Inexact Computations (1975) (6)
The Causal Mediation Formula – A practitioner guide to the assessment of causal pathways (2011) (6)
DIRECT EVIDENCE OF STEADY EMF INDUCED BY FLUX MOTION IN SUPERCONDUCTORS (1966) (6)
Uncovering Trees in Constraint Networks (1996) (6)
On the Identication of Causal Eects (2003) (6)
Causality: Causal Diagrams and the Identification of Causal Effects (2009) (6)
Memory Versus Error Characteristics for Inexact Representations of Linear Orders (1976) (6)
Comments on Seeing and Doing (2002) (6)
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models (2020) (5)
Storage space versus validity of answers in probabilistic question-answering systems (1980) (5)
A Causal Calculus for Statistical Research (1995) (5)
The Science and Ethics of Causal Modeling (2010) (5)
Radical empiricism and machine learning research (2021) (5)
The Art and Science of Cause and Effect (2020) (5)
A new characterization of graphs based on interception relations (1996) (5)
A Framework for Processing Value Judgments (1977) (5)
Classical causal models cannot faithfully explain Bell nonlocality or Kochen-Specker contextuality in arbitrary scenarios (2021) (4)
Detecting Latent Heterogeneity (2017) (4)
On the Statistical Interpretation of Structural Equations (2011) (4)
Modeling and solving sequential decision problems with uncertainty and partial information (2004) (4)
Conditioning on Post-treatment Variables (2015) (4)
Action as a Local Surgery (1995) (4)
Rejoinder to Discussions of Causal Diagrams for Empirical Research (1995) (4)
Causes of Effects: Learning individual responses from population data (2021) (4)
On summarizing data using probabilistic assertions (1977) (4)
Generalizing experimental results by leveraging knowledge of mechanisms (2020) (4)
A Calculus of Pragmatic Obligation (2002) (4)
Confounding Equivalence in Observational Studies (or, when are two measurements equally valuable for effect estimation?) (2009) (4)
The mathematics of causal inference (2011) (4)
Physical and Metaphysical Counterfactuals (2010) (4)
An Efficient Method for Bayesian Network Parameter Learning from Incomplete Data (2014) (4)
TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUS (2014) (4)
On the utility of causal diagrams in modeling attrition: a practical example. (2018) (4)
The Seven Pillars of Causal Reasoning with Reflections on Machine Learning (2018) (4)
Comments on "Application of Walsh Transform to Statistical Analysis" (1972) (4)
Field distribution of plated wire memory elements and its effect on memory characteristics (1968) (3)
Distributedrevision of belief commitment in composite explanations (1986) (3)
Learning Link-Probabilities in Causal Trees (1986) (3)
Eight Myths About Causality and Structural Models (2012) (3)
Causality: Epilogue: The Art and Science of Cause and Effect (2009) (3)
Imperfect Experiments: Bounding Effects and Counterfactuals (2009) (3)
Dynamic Constraint Networks (1994) (3)
ON THE NATURE OF RESISTANCE IN THE MIXED STATE OF TYPE II SUPERCONDUCTORS (1965) (3)
Parameter identification: A new perspective (2011) (3)
Bounds on Direct Effect in the Presence of Confounded Intermediate Variables - eScholarship (2008) (3)
Goal-Directed Decision Structuring Systems. (1981) (3)
Which is more believable, the probably provable or the provably probable? (1990) (3)
Direct and Indirect Eeects (2005) (3)
Comments on Nozer Singpurwalla's “On Causality and Causal Mechanisms” (2002) (2)
Progress Toward a Goal-Directed Decision Support System. (1979) (2)
Title Bounds on Direct Effect in the Presence of Confounded Intermediate Variables Permalink (2008) (2)
A Linear “Microscope” for Interventions and Counterfactuals (2017) (2)
Comments and Controversies: Graphical models, potential outcomes and causal inference: Comment on Lindquist and Sobel (2011) (2)
Missing Data from a Causal Perspective (2015) (2)
Structural counterfactuals: A brief introduction - eScholarship (2013) (2)
Discussion on "surrogate measures and consistent surrogates". (2013) (2)
Parameter Identiication: a New Perspective (second Draft) (2001) (2)
Probabilistic foundations of reasoning with conditionals (1997) (2)
Bayesian Networks - eScholarship (2011) (2)
Character Recognition: the Reading of Text by Computer (2)
NON-BAYESIAN FORMALISMS FOR MANAGING UNCERTAINTY (1988) (2)
Causal Thinking in the Twilight Zone (2015) (2)
Statistics, Causality, and Graphs (1999) (2)
Chapter 1 – UNCERTAINTY IN AI SYSTEMS: AN OVERVIEW (1988) (1)
A Note on Causes of Effects (2014) (1)
A short note on the virtues of graphical tools (2014) (1)
The Mathematics of Causal Inference in Statistics (2007) (1)
Complete Identification Methods for the Causal Hierarchy - eScholarship (2008) (1)
On The Storage Economy Of Error-Tolerating Question-Answering Systems (1975) (1)
Causality: Actions, Plans, and Direct Effects (2009) (1)
Dynamic Networks Techniques for Autonomous Planning and Control. Probabilistic Counterfactuals. (1997) (1)
Theoretical Impediments to Machine Learning A position paper (2016) (1)
Sufficient Causes: On Oxygen, Matches, and Fires (2019) (1)
GRAPHOIDS: AN AXIOMATIC CHARACTERIZATION OF GRAPHICAL REPRESENTATIONS (1992) (1)
Controlling Selection Bias in Causal Inference ( Supplementary Material ) (2012) (1)
The Mechanization of Causal Inference: A “mini” Turing Test and Beyond (2007) (1)
Is Scientific Knowledge useful for Policy Analysis (2014) (1)
Causality: Causality and Structural Models in Social Science and Economics (2009) (1)
Book Reviews (1995) (1)
Asymptotic rate-distortion functions for coding precedence relations (Corresp.) (1979) (1)
Peer Reviewed Title: Graphical Condition for Identification in Recursive SEM (2006) (1)
Mind over data (2018) (1)
TAXONOMIC HIERARCHIES, CONTINUOUS VARIABLES, AND UNCERTAIN PROBABILITIES (1988) (1)
Causality: The Logic of Structure-Based Counterfactuals (2009) (1)
LEARNING STRUCTURE FROM DATA (1988) (1)
Causality: Reflections, Elaborations, and Discussions with Readers (2009) (1)
Optimum Synthesis of Inductorless Bandpass Filters Using a Combination of Identical RC Coupled Amplifiers (1964) (1)
Bounds on Causal Effects and Application to High Dimensional Data (2021) (1)
A simple criterion for controlling selection bias (2013) (1)
A Note on Testing Exogeneity of Instrumental Variables (2011) (1)
Human and Machine Intelligence (2012) (1)
Chapter 5 – DISTRIBUTED REVISION OF COMPOSITE BELIEFS (1988) (1)
Bias and Causation, Models and Judgment for Valid Comparisons by WEISBERG, H. I. (2012) (1)
Random Bayesian networks with bounded indegree (2014) (1)
Asymptotic Complexity of Game-Searching Procedures (1980) (0)
Response to review by Kyburg (2005) (0)
4. Summary: Where Is Econometric Modelling Today? (2008) (0)
Causal , Casual and Curious (2013) (0)
A new characterization of graphs based on interception relations (1996) (0)
The mathematics of causal inference - eScholarship (2013) (0)
Reasoning with Cause and Effect 2 Structural Model Semantics Deenition 2.1 (causal Model) a Causal Model Is a Triple (1999) (0)
Causality: The Actual Cause (2009) (0)
GRAPHICAL TOOLS FOR LINEAR PATH MODELS (2016) (0)
Causality: Preface to the First Edition (2009) (0)
Unit Selection with Causal Diagram (2021) (0)
External Validity and Transportability: A Formal Approach (2011) (0)
1 Introduction-Physical and Metaphysical Conceptions of Actions (2010) (0)
2 . 1 Assessing covariate-induced heterogeneity (2015) (0)
The effect of crossed fields on the velocity distribution of hollow electron beams (1964) (0)
Artificial Intelligence Axioms of causal relevance (2003) (0)
Causes of Eects and Eects of Causes (2014) (0)
Distributed Inferencing for Classification (1991) (0)
ON NEUBERG ’ S REVIEW OF CAUSALITY (0)
On Counterfactuals and Cognitive Science: Rumlhart Prize Symposium in Honor of Judea Pearl (2011) (0)
Flowers of the First Law (2015) (0)
A Short Rejoinder to Rejoinder (2002) (0)
[eBooks] Causality Models Reasoning And Inference (2021) (0)
Application of Walsh Transformto (1971) (0)
Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models (2015) (0)
Axiom, Definition, Assumption, or Theorem? (2010) (0)
Reasoning with cause and effect - eScholarship (2011) (0)
Causality: A Theory of Inferred Causation (2009) (0)
Invited Commentary: Unders tanding Bias Amplification (2011) (0)
The Mathematics of Causal Relations Judea Pearl (0)
Title Causal Transportability with Limited Experiments Permalink (2013) (0)
On the Identification of Nonparametric Structural Models - eScholarship (2011) (0)
AND ITS REPRESENTATIONS * (0)
What is Gained from Past Learning (2018) (0)
Comment (2000) (0)
Comments on \Surrogates measures and consistent surrogates" (2013) (0)
Lord ’ s Paradox Revisited – ( Oh Lord ! Kumbaya ! ) Judea Pearl (2016) (0)
DECISION AND CONTROL (1988) (0)
Simpson's Paradox: an Anatomy 1 a Tale of a Non-paradox (1999) (0)
The Foundations of Causal Inference : A Review ∗ (2010) (0)
Causal, Casual, and Curious (2013-2020): A collage in the art of causal reasoning (2020) (0)
Causal reasoning with continuous uncertain quantities (1988) (0)
A Causal Calculus for Statistical Research 3.1 Introduction (1996) (0)
Lord ’ s Paradox Revisited – ( (2014) (0)
Causality: Probability of Causation: Interpretation and Identification (2009) (0)
Generalizing causal knowledge: theory and algorithms (2014) (0)
The effect of velocity on the electrical conductivity of blood (1961) (0)
Book Reviews (2014) (0)
Empirical Semantics for Defeasible Databases (1992) (0)
In Defense of Unification (Comments on West and Koch's review of Causality) (2014) (0)
Comment on: Oldford, R.W., "A Physical Device for Demonstrating Confounding Blocking, and the Role of Randomization in Uncovering a Causal Relationship." (2011) (0)
NON-NUMERICAL APPROACHES TO PLAUSIBLE INFERENCE INTRODUCTION (2002) (0)
Dynamic Constraints Networks (1989) (0)
Advanced technology Vortexes are creating a stir in the superconductor field (0)
Book reviews (2019) (0)
On the Foundation of Structural Equation Models or When Can We Give Causal Interpretation to Structural Coeecients? 1 Identiiability and Causal Authenticity (0)
Title Graphical models for inference with missing data Permalink (2013) (0)
Three Statistical Puzzles (2011) (0)
Identification of Conditional Interventional Distributions - eScholarship (2006) (0)
Consistent Estimation given Missing Data (2018) (0)
On the complexity of deriving imprecise assertions (1976) (0)
Non-parametric Identification of Causal Effects, or Structural Modeling without Equations (1995) (0)
ESSAY : Probability in Artificial Intelligence (0)
GRAPHS , CAUSALITY (1998) (0)
UNCERTAINTY IN AI SYSTEMS (1988) (0)
Identification by Edge Contraction in Linear Structural Equation Models (2015) (0)
LOGIC AND PROBABILITY: THE STRANGE CONNECTION (1988) (0)
The Causal Foundations of Structural Equation Modeling - eScholarship (2011) (0)
BOOK REVIEW A Structural Approach to the Understanding of Causes, Effects, and Judgment (2002) (0)
The algorithmization of counterfactuals ( or , what if Oswald were a robot ? ) (2011) (0)
Structural causal models: a formalism for reasoning about actions and counterfactuals (1997) (0)
Judea Pearl * The Deductive Approach to Causal Inference (2014) (0)
Title On the Identification of Nonparametric Structural Models Permalink (1997) (0)
3 Interpretable Conditions 3 . 1 Preliminary Notation and Nomenclature (0)
Storage Versus Performance Exchange in Probabilistic Question-Answering Systems (1980) (0)
Preface to the ACM TIST Special Issue on Causal Discovery and Inference (2016) (0)
A New Characterization of Graphs Based on Interpretation Relations (1993) (0)
A note on the pairwise Markov condition in directed Markov fields (2012) (0)
Electromagnetic Behavior of Thin‐Film Structures (1966) (0)
If Oswald Hadn't Used Counterfactuals, My Robot Would Have (2010) (0)
Meta-Transportability of Causal Eects: A Formal Approach - eScholarship (2013) (0)
Direct and Indirect Eeects (first Draft, Comments Welcome) (2001) (0)
Universal Formulas for Treatment Effects from Noncompliance Data (1996) (0)
Comments on `Surrogate measures and consistent surrogates' (by Tyler VanderWeele) (2013) (0)
The Mathematics of Causal Relations Judea Pearl Cognitive Systems Laboratory Computer Science (2010) (0)
On the Statistical Interpretation of Structural Equations - eScholarship (2011) (0)
Title Comment on ` Causal inference , probability theory , and graphical insights ' (2013) (0)
A Causal Calculus (draft Copy) (0)
Title The mathematics of causal inference Permalink (2013) (0)
Technical Perspective Belief Propagation (2010) (0)
On the Consistency Rule in Causal Inference: An Axiom, Definition, Assumption, or a Theorem? - eScholarship (2010) (0)
On the Value of Synthetic Judgments. Revision. (1980) (0)
UCLA UCLA Title : Causal inference in statistics : An overview (0)
Causal , Casual and Curious Judea Pearl * Generalizing Experimental Findings (2015) (0)
2 An oracle for policies or an aid to forecasters ? (2014) (0)
Effectiveness of Orthogonal Transforms in Information Processing Applications. (1973) (0)
A Maximum Entropy Approach to NOIl notonic Mois (1999) (0)
Erratum to Is Scientific Knowledge Useful for Policy Analysis? A Peculiar Theorem Says: No [J Causal Inference DOI: 10.1515/jci-2014-0017] (2014) (0)
Exploiting Equality Constraints in Causal Inference (2021) (0)
Dynamic Network Techniques for Autonomous Planning and Control (2000) (0)
A Framework forProcessingValue Judgments (1977) (0)
Discussing and Displaying the Effectiveness of Causal Models for Observational Studies (2003) (0)
Exogeneity and Superexogeneity: A No-tear Perspective (2011) (0)

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Judea Pearl is most known for their academic work in the field of computer science. They are also known for their academic work in the fields of engineering, philosophy, and physics.

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