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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.

- Probabilistic reasoning in intelligent systems - networks of plausible inference (1991) (18902)
- Causality: Models, Reasoning and Inference (2000) (11650)
- Probabilistic reasoning in intelligent systems (1988) (4682)
- Causal diagrams for epidemiologic research. (1999) (2525)
- Heuristics - intelligent search strategies for computer problem solving (1984) (2223)
- Fusion, Propagation, and Structuring in Belief Networks (1986) (2210)
- Temporal Constraint Networks (1989) (2168)
- Causal diagrams for empirical research (1995) (2110)
- Direct and Indirect Effects (2001) (1879)
- Causal inference in statistics: An overview (2009) (1617)
- Equivalence and Synthesis of Causal Models (1990) (1322)
- Generalized best-first search strategies and the optimality of A* (1985) (1063)
- Causal Inference (2008) (1058)
- Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach (1982) (932)
- Bayesian Networks (1998) (906)
- A Theory of Inferred Causation (1991) (861)
- Causal Inference in Statistics: A Primer (2016) (815)
- Confounding and Collapsibility in Causal Inference (1999) (812)
- Causes and Explanations: A Structural-Model Approach. Part I: Causes (2000) (716)
- On the Logic of Iterated Belief Revision (1994) (660)
- Network-Based Heuristics for Constraint-Satisfaction Problems (1987) (637)
- Tree Clustering for Constraint Networks (1989) (632)
- Chapter 2 – BAYESIAN INFERENCE (1988) (569)
- Bounds on Treatment Effects from Studies with Imperfect Compliance (1997) (563)
- CURRENT DISTRIBUTION IN SUPERCONDUCTING FILMS CARRYING QUANTIZED FLUXOIDS (1964) (560)
- Identifying independence in bayesian networks (1990) (526)
- Causal networks: semantics and expressiveness (2013) (509)
- EIGHT MYTHS ABOUT CAUSALITY AND STRUCTURAL EQUATION MODELS (2013) (496)
- Causal inference and the data-fusion problem (2016) (471)
- Readings in Uncertain Reasoning (1990) (418)
- System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning (1990) (416)
- Causes and explanations: A structural-model approach (2000) (414)
- A Computational Model for Causal and Diagnostic Reasoning in Inference Systems (1983) (404)
- Evidential Reasoning Using Stochastic Simulation of Causal Models (1987) (401)
- External Validity: From Do-Calculus to Transportability Across Populations (2014) (385)
- Interpretation and Identification of Causal Mediation (2013) (367)
- Network-based heuristics for constraint satisfaction problems (1988) (364)
- The seven tools of causal inference, with reflections on machine learning (2019) (362)
- Causal Diagrams (2011) (341)
- Qualitative Probabilities for Default Reasoning, Belief Revision, and Causal Modeling (1996) (328)
- A general identification condition for causal effects (2002) (321)
- Graphs, Causality, and Structural Equation Models (1998) (307)
- Identifiability of Path-Specific Effects (2005) (300)
- The Causal Mediation Formula—A Guide to the Assessment of Pathways and Mechanisms (2012) (300)
- The Book of Why: The New Science of Cause and Effect (2018) (292)
- An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation (1992) (290)
- Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models (2006) (280)
- The Causal Foundations of Structural Equation Modeling (2012) (275)
- Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution (2018) (248)
- Transportability of Causal and Statistical Relations: A Formal Approach (2011) (245)
- Causes and Explanations: A Structural-Model Approach. Part II: Explanations (2001) (241)
- Conditional Entailment: Bridging two Approaches to Default Reasoning (1992) (232)
- A Constraint-Propagation Approach to Probabilistic Reasoning (1985) (224)
- An Axiomatic Characterization of Causal Counterfactuals (1998) (221)
- Counterfactual Probabilities: Computational Methods, Bounds and Applications (1994) (220)
- An Introduction to Causal Inference (2009) (212)
- Reasoning with belief functions: An analysis of compatibility (1990) (211)
- Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions (1992) (208)
- d-Separation: From Theorems to Algorithms (2013) (206)
- The recovery of causal poly-trees from statistical data (1987) (200)
- Distributed Revision of Composite Beliefs (1987) (199)
- Complete Identification Methods for the Causal Hierarchy (2008) (198)
- Identification of Conditional Interventional Distributions (2006) (198)
- Studies in Semi-Admissible Heuristics (1982) (189)
- Measurement bias and effect restoration in causal inference (2014) (188)
- Probabilistic Semantics for Nonmonotonic Reasoning: A Survey (1989) (179)
- A Maximum Entropy Approach to Nonmonotonic Reasoning (1990) (179)
- Statistics and causal inference: A review (2003) (176)
- Comment: Understanding Simpson’s Paradox (2014) (175)
- Probabilistic evaluation of sequential plans from causal models with hidden variables (1995) (174)
- Logical and Algorithmic Properties of Conditional Independence and Graphical Models (1993) (172)
- Asymptotic Properties of Minimax Trees and Game-Searching Procedures (1980) (167)
- A General Algorithm for Deciding Transportability of Experimental Results (2013) (166)
- On the Testable Implications of Causal Models with Hidden Variables (2002) (163)
- On a Class of Bias-Amplifying Variables that Endanger Effect Estimates (2010) (163)
- On Evidential Reasoning in a Hierarchy of Hypotheses (1990) (163)
- The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models (2011) (160)
- Probabilistic Evaluation of Counterfactual Queries (1994) (159)
- Causal inference in statistics (2016) (158)
- [Bayesian Analysis in Expert Systems]: Comment: Graphical Models, Causality and Intervention (1993) (156)
- Probabilities of causation: Bounds and identification (2000) (155)
- Invited commentary: understanding bias amplification. (2011) (153)
- On the logic of causal models (2013) (148)
- Controlling Selection Bias in Causal Inference (2011) (147)
- The Logic of Representing Dependencies by Directed Graphs (1987) (146)
- Generalized Instrumental Variables (2002) (145)
- Structure Identification in Relational Data (1992) (144)
- On the Testability of Causal Models With Latent and Instrumental Variables (1995) (142)
- Graphical Models for Probabilistic and Causal Reasoning (1997) (141)
- Qualitative Decision Theory (1994) (140)
- Embracing Causality in Default Reasoning (1988) (137)
- On the Identification of Causal Effects (2015) (133)
- On the Consistency Rule in Causal Inference: Axiom, Definition, Assumption, or Theorem? (2010) (133)
- From Conditional Oughts to Qualitative Decision Theory (1993) (129)
- Recovering from Selection Bias in Causal and Statistical Inference (2014) (128)
- Causal Discovery from Changes (2001) (127)
- Belief Networks Revisited (1993) (116)
- Causal Counterfactual Theory for the Attribution of Weather and Climate-Related Events (2016) (115)
- ON THE CONNECTION BETWEEN THE COMPLEXITY AND CREDIBILITY OF INFERRED MODELS (1978) (114)
- Bandits with Unobserved Confounders: A Causal Approach (2015) (114)
- Principal Stratification -- a Goal or a Tool? (2011) (113)
- The solution for the branching factor of the alpha-beta pruning algorithm and its optimality (1982) (112)
- Comment: Graphical Models, Causality and Intervention (2016) (111)
- Probabilities Of Causation: Three Counterfactual Interpretations And Their Identification (1999) (110)
- A Probabilistic Calculus of Actions (1994) (110)
- A Crash Course in Good and Bad Controls (2020) (109)
- 3. The Foundations of Causal Inference (2010) (108)
- Comparison of the cosine and Fourier transforms of Markov-1 signals (1976) (108)
- Linear Models: A Useful “Microscope” for Causal Analysis (2013) (107)
- Intelligent Search Strategies for Computer Problem Solving (1984) (106)
- Causal Inference in the Health Sciences: A Conceptual Introduction (2001) (105)
- Graphical Models for Inference with Missing Data (2013) (105)
- Axioms and Algorithms for Inferences Involving Probabilistic Independence (1991) (104)
- Transportability of Causal Effects: Completeness Results (2012) (103)
- Bounds on Direct Effects in the Presence of Confounded Intermediate Variables (2008) (103)
- The Do-Calculus Revisited (2012) (102)
- On the Nature of Pathology in Game Searching (1983) (99)
- GRAPHOIDS: Graph-Based Logic for Reasoning about Relevance Relations OrWhen Would x Tell You More about y If You Already Know z? (1986) (99)
- What Counterfactuals Can Be Tested (2007) (98)
- Axioms of Causal Relevance (1997) (98)
- A New Identification Condition for Recursive Models With Correlated Errors (2002) (96)
- Structure of Superconductive Vortices near a Metal‐Air Interface (1966) (96)
- Causal Inference by Surrogate Experiments: z-Identifiability (2012) (96)
- Searching for an Optimal Path in a Tree with Random Costs (1983) (95)
- On coding and filtering stationary signals by discrete Fourier transforms (Corresp.) (1973) (95)
- Counterfactuals and Policy Analysis in Structural Models (1995) (93)
- Testing Identifiability of Causal Effects (1995) (92)
- On Measurement Bias in Causal Inference (2010) (92)
- Reasoning with Cause and Effect (1999) (91)
- Graphical Models for Processing Missing Data (2018) (90)
- Identifying Independencies in Causal Graphs with Feedback (1996) (89)
- Transportability from Multiple Environments with Limited Experiments: Completeness Results (2014) (86)
- Structuring causal trees (1986) (86)
- Bayesianism and Causality, or, Why I am Only a Half-Bayesian (2001) (86)
- Adjustments and their Consequences—Collapsibility Analysis using Graphical Models (2010) (84)
- Remarks on the method of propensity score (2009) (82)
- Studies in causal reasoning and learning (2002) (82)
- Causal inference from indirect experiments (1995) (81)
- Myth, Confusion, and Science in Causal Analysis (2009) (79)
- Tree-Clustering Schemes for Constraint-Processing (1988) (79)
- From Bayesian networks to causal networks (1995) (78)
- Convince: A Conversational Inference Consolidation Engine (1987) (76)
- Embracing Causality in Formal Reasoning (1987) (72)
- How to Do with Probabilities What People Say You Can't (1985) (72)
- On the Consistency of Defeasible Databases (1991) (71)
- Meta-Transportability of Causal Effects: A Formal Approach (2013) (70)
- Transportability across studies: A formal approach (2011) (69)
- Effects of Treatment on the Treated: Identification and Generalization (2009) (69)
- Why there is no statistical test for confounding, why many think there is, and why they are almost right (1998) (68)
- System-Z+: A Formalism for Reasoning with Variable-Strength Defaults (1991) (67)
- TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUS (2013) (66)
- A Clinician's Tool for Analyzing Non-Compliance (1996) (65)
- Causation, Action and Counterfactuals (1996) (64)
- Generalizing Experimental Findings (2015) (64)
- Specification and Evaluation of Preferences Under Uncertainty (1994) (63)
- THE FOUNDATIONS OF CAUSAL INFERENCE (2011) (62)
- A Minimax Algorithm Better Than Alpha-Beta? Yes and No (1983) (62)
- The optimality of A (1988) (61)
- A Framework for Reasoning with Defaults (1990) (61)
- Counterfactual Data-Fusion for Online Reinforcement Learners (2017) (58)
- An Improved Constraint-Propagation Algorithm for Diagnosis (1987) (56)
- Knowledge Versus Search: A Quantitative Analysis Using A* (1983) (56)
- Symbolic Causal Networks (1994) (56)
- Conditional independence and its representations (1990) (56)
- Understanding Simpson's Paradox (2013) (55)
- Influence Diagrams - Historical and Personal Perspectives (2005) (55)
- Some Recent Results in Heuristic Search Theory (1984) (54)
- Bayesian and belief-functions formalisms for evidential reasoning: a conceptual analysis (1990) (54)
- On the Discovery and Generation of Certain Heuristics (1983) (52)
- Graphical Models, Causality, and Intervention (2011) (52)
- Learning Causal Trees from Dependence Information (1990) (52)
- Lord’s Paradox Revisited – (Oh Lord! Kumbaya!) (2016) (51)
- The electrical conductance properties of blood in motion. (1962) (51)
- Causes of Effects and Effects of Causes (2015) (50)
- Performance Measures for Transform Data Coding (1972) (50)
- Does Obesity Shorten Life? Or is it the Soda? On Non-manipulable Causes (2018) (50)
- GODDESS: A Goal-Directed Decision Structuring System (1982) (50)
- On logic and probability (1988) (49)
- Graphical Tools for Linear Structural Equation Modeling (2014) (48)
- A statistical semantics for causation (1992) (48)
- Jeffrey's Rule, Passage of Experience, and Neo-Bayesianism (1990) (48)
- Causal Transportability with Limited Experiments (2013) (47)
- Probabilistic Analysis of the Complexity of A* (1980) (47)
- Detecting Latent Heterogeneity (2013) (47)
- Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data (2014) (46)
- Reasoning with Qualitative Probabilities Can Be Tractable (1992) (46)
- Letter to the Editor: Remarks on the Method of Propensity Score (2009) (46)
- Bayesian decision methods (1990) (45)
- Learning simple causal structures (1993) (44)
- Directed Constraint Networks: A Relational Framework for Causal Modeling (1991) (44)
- Clarifying the Usage of Structural Models for Commonsense Causal Reasoning (2003) (43)
- Regression and Causation: A Critical Examination of Six Econometrics Textbooks (2013) (43)
- Aspects of Graphical Models Connected with Causality (2011) (43)
- Missing Data as a Causal and Probabilistic Problem (2015) (43)
- Structural Counterfactuals: A Brief Introduction (2013) (42)
- Causal Inference Without Counterfactuals: Comment (2000) (42)
- On probability intervals (1988) (41)
- On the Testability of Models with Missing Data (2014) (40)
- Dormant Independence (2008) (40)
- Robustness of Causal Claims (2004) (39)
- Heuristic Search Theory: Survey of Recent Results (1981) (39)
- Logarithmic-Time Updates and Queries in Probabilistic Networks (1995) (38)
- Structural and probabilistic causality. (1996) (37)
- Application of Walsh Transform to Statistical Analysis (1971) (37)
- The algorithmization of counterfactuals (2011) (37)
- A graphical criterion for the identification of causal effects in linear models (2002) (36)
- Reasoning Under Uncertainty (1990) (36)
- Simpson's Paradox: An Anatomy (2011) (36)
- Asymptotic Properties of Discrete Unitary Transforms (1979) (36)
- Causal Discovery from Changes: a Bayesian Approach (2001) (36)
- Artificial Intelligence Techniques (1997) (34)
- Graphical Condition for Identification in recursive SEM (2006) (34)
- Do we need higher-order probabilities, and, if so, what do they mean? (1987) (34)
- Unit Selection Based on Counterfactual Logic (2019) (34)
- The Anatomy of Easy Problems: A Constraint-Satisfaction Formulation (1985) (34)
- Sensitivity Analysis of Linear Structural Causal Models (2019) (33)
- The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm and its Optimality (1981) (33)
- SCOUT: A Simple Game-Searching Algorithm with Proven Optimal Properties (1980) (32)
- Testable Implications of Linear Structural Equation Models (2014) (31)
- From Adams' conditionals to default expressions, causal conditionals, and counterfactuals (1994) (31)
- Confounding Equivalence in Causal Inference (2010) (31)
- Basis-restricted transformations and performance measures for spectral representations (Corresp.) (1971) (29)
- Transportability from Multiple Environments with Limited Experiments (2013) (29)
- Random geometric graphs: an algorithmic perspective (2006) (28)
- Causes of Effects: Learning individual responses from population data (2021) (28)
- Causality and Counterfactuals in the Situation Calculus (2007) (28)
- The Deductive Approach to Causal Inference (2014) (27)
- An Interactive Program Fo Conversational Elicitation of Decision Structures (1977) (27)
- Local Characterizations of Causal Bayesian Networks (2011) (26)
- Causal and diagnostic inferences: A comparison of validity (1981) (26)
- Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data (2014) (25)
- On the Interpretation of do ( x ) (2019) (25)
- An economic basis for certain methods of evaluating probabilistic forecasts (1978) (25)
- The Optimality of A* Revisited (1983) (24)
- Optimal Dyadic Models of Time-Invariant Systems (1975) (24)
- Evidential reasoning under uncertainty (1988) (24)
- Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring (1986) (24)
- The structural theory of causation (2011) (24)
- COMMENTS ON NEUBERG'S REVIEW OF CAUSALITY (2003) (24)
- Causal diagrams for empirical researchRejoinder to Discussions of ‘Causal diagrams for empirical research’ (1995) (23)
- Logical and algorithmic properties of independence and their application to Bayesian networks (1990) (23)
- When can association graphs admit a causal interpretation (1994) (23)
- MARKOV AND BAYESIAN NETWORKS: Two Graphical Representations of Probabilistic Knowledge (1988) (21)
- Estimation with Incomplete Data: The Linear Case (2018) (21)
- Causal and Counterfactual Inference (2018) (21)
- Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation (2002) (21)
- Nonparametric Bounds on Causal Effects from Partial Compliance Data (2011) (21)
- Reply to commentary by Imai, Keele, Tingley, and Yamamoto concerning causal mediation analysis. (2014) (20)
- Specification and Evaluation of Preferences for Planning under Uncertainty (1994) (20)
- Symbolic Causal Networks for Reasoning about Actions and Plans (1994) (20)
- On the Equivalence of Causal Models (2013) (19)
- The New Challenge: From a Century of Statistics to an Age of Causation (1997) (19)
- AI's greatest trends and controversies (2000) (19)
- Learning bayesian networks from data (1996) (19)
- Waish Processing of Random Signals (1971) (19)
- Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables (2015) (19)
- Decision making under uncertainty (1996) (18)
- Recoverability and Testability of Missing Data: Introduction and Summary of Results (2013) (18)
- Graphical methods for identification in structural equation models (2003) (18)
- Capacity and Error Estimates for Boolean Classifiers with Limited Complexity (1979) (18)
- Rejoinder to comments on "reasoning with belief functions: An analysis of compatibility" (1992) (18)
- On the Definition of Actual Cause (draft Copy { Comments Are Welcome) (1998) (18)
- Distributed diagnosis of systems with multiple faults (1992) (17)
- The Logic of Causal Inference (2010) (17)
- Challenging the hegemony of randomized controlled trials: A commentary on Deaton and Cartwright. (2018) (17)
- Mediating Instrumental Variables (2011) (16)
- Missing Data as a Causal Inference Problem (2013) (16)
- Causal Inference from Big Data: Theoretical Foundations and the Data-fusion Problem (2015) (15)
- BELIEF UPDATING BY NETWORK PROPAGATION (1988) (15)
- A solution to a class of selection-bias problems (2012) (15)
- Graphical models, potential outcomes and causal inference: Comment on Linquist and Sobel (2011) (15)
- Belief propagation: technical perspective (2010) (15)
- Tree Decomposition with Applications to Constraint Processing (1990) (15)
- Statistics and causality: separated to reunite-commentary on Bryan Dowd's "separated at birth". (2011) (15)
- Radical empiricism and machine learning research (2021) (14)
- A Characterization of Interventional Distributions in Semi-Markovian Causal Models (2006) (14)
- The Logic of Counterfactuals in Causal Inference (2000) (14)
- Unit Selection with Causal Diagram (2021) (14)
- Bounds on Causal Effects and Application to High Dimensional Data (2021) (14)
- Note on ‘‘Generalizability of Study Results‘‘ (2019) (13)
- Probabilistic reasoning using graphs (1987) (13)
- On the Logic of Probabilistic Dependencies (1986) (13)
- On the Interpretation of do(x)do(x) (2019) (13)
- Causality: Causal Diagrams and the Identification of Causal Effects (2009) (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)
- Causal Inference in Statistics: an Introduction (13)
- Simpson's Paradox, Confounding, and Collapsibility (2009) (13)
- Probabilities of Causation with Nonbinary Treatment and Effect (2022) (12)
- Is Scientific Knowledge Useful for Policy Analysis? A Peculiar Theorem Says: No (2014) (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)
- On the Storage Economy of Inferential Question-Answering Systems (1975) (12)
- A Space-Efficient On-Line Method of Computing Quantile Estimates (1981) (12)
- Asymptotic equivalence of spectral representations (1975) (11)
- Reflections on Heckman and Pinto's Causal Analysis After Haavelmo (2013) (11)
- On the residual correlation of finite-dimensional discrete Fourier transforms of stationary signals (Corresp.) (1975) (11)
- The new science of cause and effect, with reflections on data science and artificial intelligence (2019) (11)
- Causality: Introduction to Probabilities, Graphs, and Causal Models (2009) (11)
- Specificity and Inheritance in Default Reasoning (1995) (11)
- Nancy Cartwright on Hunting Causes (2010) (11)
- Some Thoughts Concerning Transfer Learning, with Applications to Meta-Analysis and Data-Sharing Estimation (2012) (11)
- The Mathematics of Causal Relations (2010) (11)
- Physical and Metaphysical Counterfactuals: Evaluating Disjunctive Actions (2017) (10)
- Learning structure from data: a survey (1989) (10)
- Learning Hidden Causes from Empirical Data (1985) (10)
- Unit Selection with Nonbinary Treatment and Effect (2022) (10)
- Exogeneity and Robustness (2015) (9)
- Title Bounds on Treatment Effects from Studies with Imperfect Compliance Permalink (1997) (9)
- Recognition of Handwritten Chinese Characters by Modified Hough Transform Techniques (1989) (9)
- Generalizing experimental results by leveraging knowledge of mechanisms (2020) (9)
- Confounding Equivalence in Observational Studies (2009) (9)
- Complete identification methods for causal inference (2008) (9)
- Comment on Ding and Miratrix: “To Adjust or Not to Adjust?” (2015) (9)
- Bounds on memory versus error trade-offs in question-answering systems (1979) (9)
- Elasticity conditions for storage versus error exchange in question-Answering systems (1979) (8)
- On coding precedence relations with a pair-ordering fidelity criterion (Corresp.) (1976) (8)
- A Maximum Entropy Approach to NOIl notonic (2007) (8)
- Testing regression models with fewer regressors (2011) (8)
- REPLY TO WOODWARD (2003) (8)
- The Art and Science of Cause and Effect (2020) (8)
- Deciding Morality of Graphs is NP-complete (1993) (8)
- Interpretable Conditions for Identifying Direct and Indirect Effects (2012) (8)
- A problem simplification approach that generates heuristics for constraint-satisfaction problems (1988) (8)
- On Two Pseudo-Paradoxes in Bayesian Analysis (2001) (8)
- A new characterization of the experimental implications of causal Bayesian networks (2002) (8)
- Time, frequency, sequency, and their uncertainty relations (Corresp.) (1973) (8)
- An application of rate-distortion theory to pattern recognition and classification (1976) (8)
- Review of N . Cartwright “ Hunting Causes and Using Them ” (2008) (7)
- Comments on: The tale wagged by the DAG. (2018) (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 (2013) (7)
- Conditioning on Post-treatment Variables (2015) (7)
- The Causal Mediation Formula – A practitioner guide to the assessment of causal pathways (2011) (7)
- On Testing Whether an Embedded Bayesian Network Represents a Probability Model (1994) (7)
- Memory Versus Error Characteristics for Inexact Representations of Linear Orders (1976) (7)
- On the Identification of Nonparametric Structural Models (1997) (7)
- From Imaging and Stochastic Control to a Calculus of Actions (1994) (7)
- Comments on Seeing and Doing (2002) (6)
- The mathematics of causal inference (2011) (6)
- The Utility of Precision in Search Heuristics (1982) (6)
- On the Complexity of Inexact Computations (1975) (6)
- A Causal Calculus for Statistical Research (1995) (6)
- DIRECT EVIDENCE OF STEADY EMF INDUCED BY FLUX MOTION IN SUPERCONDUCTORS (1966) (6)
- On the Identication of Causal Eects (2003) (6)
- Classical causal models cannot faithfully explain Bell nonlocality or Kochen-Specker contextuality in arbitrary scenarios (2019) (6)
- An Interactive Program for Conversational Elecitation of Decision Structures. (1977) (6)
- Storage space versus validity of answers in probabilistic question-answering systems (1980) (6)
- The Seven Pillars of Causal Reasoning with Reflections on Machine Learning (2018) (6)
- Action as a Local Surgery (1995) (6)
- Uncovering Trees in Constraint Networks (1996) (6)
- A new characterization of graphs based on interception relations (1996) (6)
- A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models (2020) (6)
- Probabilities of Causation: Adequate Size of Experimental and Observational Samples (2022) (6)
- Title Identifiability of Path-Specific Effects Permalink (2005) (5)
- An Efficient Method for Bayesian Network Parameter Learning from Incomplete Data (2014) (5)
- The Science and Ethics of Causal Modeling (2010) (5)
- Sufficient Causes: On Oxygen, Matches, and Fires (2019) (5)
- Rejoinder to Discussions of Causal Diagrams for Empirical Research (1995) (5)
- Confounding Equivalence in Observational Studies (or, when are two measurements equally valuable for effect estimation?) (2009) (5)
- A Framework for Processing Value Judgments (1977) (5)
- Physical and Metaphysical Counterfactuals (2010) (5)
- Unit Selection: Case Study and Comparison with A/B Test Heuristic (2022) (4)
- Learning Probabilities of Causation from Finite Population Data (2022) (4)
- Modeling and solving sequential decision problems with uncertainty and partial information (2004) (4)
- Parameter identification: A new perspective (2011) (4)
- On the utility of causal diagrams in modeling attrition: a practical example. (2018) (4)
- Comments on "Application of Walsh Transform to Statistical Analysis" (1972) (4)
- On summarizing data using probabilistic assertions (1977) (4)
- A Calculus of Pragmatic Obligation (2002) (4)
- Causal Diagrams for Empirical Research (With Discussions) (2022) (4)
- Causal Inference with Non-IID Data using Linear Graphical Models (2022) (4)
- Distributedrevision of belief commitment in composite explanations (1986) (3)
- On the Statistical Interpretation of Structural Equations (2011) (3)
- What is Gained from Past Learning (2018) (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)
- Field distribution of plated wire memory elements and its effect on memory characteristics (1968) (3)
- Causality: Epilogue: The Art and Science of Cause and Effect (2009) (3)
- Which is more believable, the probably provable or the provably probable? (1990) (3)
- Direct and Indirect Eeects (2005) (3)
- Is Scientific Knowledge useful for Policy Analysis (2014) (3)
- The Sure-Thing Principle (2016) (3)
- Learning Link-Probabilities in Causal Trees (1986) (3)
- Causality: Causality and Structural Models in Social Science and Economics (2009) (3)
- Missing Data from a Causal Perspective (2015) (3)
- Goal-Directed Decision Structuring Systems. (1981) (3)
- Unit Selection: Learning Benefit Function from Finite Population Data (2022) (3)
- Comments and Controversies: Graphical models, potential outcomes and causal inference: Comment on Lindquist and Sobel (2011) (2)
- Comments on Nozer Singpurwalla's “On Causality and Causal Mechanisms” (2002) (2)
- Statistics, Causality, and Graphs (1999) (2)
- Eight Myths About Causality and Structural Models (2012) (2)
- A short note on the virtues of graphical tools (2014) (2)
- Bounds on Direct Effect in the Presence of Confounded Intermediate Variables - eScholarship (2008) (2)
- Title Bounds on Direct Effect in the Presence of Confounded Intermediate Variables Permalink (2008) (2)
- Structural counterfactuals: A brief introduction - eScholarship (2013) (2)
- Bayesian Networks - eScholarship (2011) (2)
- Discussion on “Surrogate Measures and Consistent Surrogates” (2013) (2)
- A Note on Testing Exogeneity of Instrumental Variables (2011) (2)
- Probabilities of Causation: Role of Observational Data (2022) (2)
- Probabilistic foundations of reasoning with conditionals (1997) (2)
- Mind over data (2018) (2)
- Character Recognition: the Reading of Text by Computer (2)
- Progress Toward a Goal-Directed Decision Support System. (1979) (2)
- Causal Thinking in the Twilight Zone (2015) (2)
- NON-BAYESIAN FORMALISMS FOR MANAGING UNCERTAINTY (1988) (2)
- Parameter Identiication: a New Perspective (second Draft) (2001) (2)
- Optimum Synthesis of Inductorless Bandpass Filters Using a Combination of Identical RC Coupled Amplifiers (1964) (1)
- Asymptotic rate-distortion functions for coding precedence relations (Corresp.) (1979) (1)
- Chapter 5 – DISTRIBUTED REVISION OF COMPOSITE BELIEFS (1988) (1)
- Dynamic Networks Techniques for Autonomous Planning and Control. Probabilistic Counterfactuals. (1997) (1)
- A Note on Causes of Effects (2014) (1)
- A simple criterion for controlling selection bias (2013) (1)
- GRAPHOIDS: AN AXIOMATIC CHARACTERIZATION OF GRAPHICAL REPRESENTATIONS (1992) (1)
- Human and Machine Intelligence (2012) (1)
- Graphoids over Counterfactuals (2014) (1)
- Bias and Causation, Models and Judgment for Valid Comparisons by WEISBERG, H. I. (2012) (1)
- The Mathematics of Causal Inference in Statistics (2007) (1)
- TAXONOMIC HIERARCHIES, CONTINUOUS VARIABLES, AND UNCERTAIN PROBABILITIES (1988) (1)
- Erratum to Is Scientific Knowledge Useful for Policy Analysis? A Peculiar Theorem Says: No [J Causal Inference DOI: 10.1515/jci-2014-0017] (2014) (1)
- On the Consistency Rule in Causal Inference: An Axiom, Definition, Assumption, or a Theorem? - eScholarship (2010) (1)
- Book Reviews (1995) (1)
- Exploiting Equality Constraints in Causal Inference (2021) (1)
- A Linear “Microscope” for Interventions and Counterfactuals (2017) (1)
- Causality: The Logic of Structure-Based Counterfactuals (2009) (1)
- LEARNING STRUCTURE FROM DATA (1988) (1)
- ϵ -Identifiability of Causal Quantities (2023) (1)
- Random Bayesian networks with bounded indegree (2014) (1)
- On The Storage Economy Of Error-Tolerating Question-Answering Systems (1975) (1)
- Causality: Reflections, Elaborations, and Discussions with Readers (2009) (1)
- Causality: Actions, Plans, and Direct Effects (2009) (1)
- Controlling Selection Bias in Causal Inference ( Supplementary Material ) (2012) (1)
- The Mechanization of Causal Inference: A “mini” Turing Test and Beyond (2007) (1)
- Consistent Estimation given Missing Data (2018) (0)
- Technical Perspective Belief Propagation (2010) (0)
- Application of Walsh Transformto (1971) (0)
- Storage Versus Performance Exchange in Probabilistic Question-Answering Systems (1980) (0)
- The effect of velocity on the electrical conductivity of blood (1961) (0)
- Universal Formulas for Treatment Effects from Noncompliance Data (1996) (0)
- Response to review by Kyburg (2005) (0)
- A New Characterization of Graphs Based on Interpretation Relations (1993) (0)
- 5 Selected Annotated Bibliography by Judea Pearl Search and Heuristics 1 (2022) (0)
- A causal calculus for statistical research, with applications to observational and experimental studies (2021) (0)
- Identification by Edge Contraction in Linear Structural Equation Models (2015) (0)
- DECISION AND CONTROL (1988) (0)
- Simpson's Paradox: an Anatomy 1 a Tale of a Non-paradox (1999) (0)
- [eBooks] Causality Models Reasoning And Inference (2021) (0)
- Three Statistical Puzzles (2011) (0)
- Electromagnetic Behavior of Thin‐Film Structures (1966) (0)
- Causality: A Theory of Inferred Causation (2009) (0)
- Book Reviews (2014) (0)
- In Defense of Unification (Comments on West and Koch's review of Causality) (2014) (0)
- Epsilon-Identifiability of Causal Quantities (2023) (0)
- 2 SEM and Causality : A Brief History of Unhappy Encounters (0)
- GRAPHICAL TOOLS FOR LINEAR PATH MODELS (2016) (0)
- Causal, Casual, and Curious (2013-2020): A collage in the art of causal reasoning (2020) (0)
- Title On the Identification of Nonparametric Structural Models Permalink (1997) (0)
- Comment (2000) (0)
- Comments on \Surrogates measures and consistent surrogates" (2013) (0)
- On the Value of Synthetic Judgments. Revision. (1980) (0)
- Empirical Semantics for Defeasible Databases (1992) (0)
- Generalizing causal knowledge: theory and algorithms (2014) (0)
- Title Causal Transportability with Limited Experiments Permalink (2013) (0)
- Meta-Transportability of Causal Eects: A Formal Approach - eScholarship (2013) (0)
- Causal Inference: History, Perspectives, Adventures, and Unification (An Interview with Judea Pearl) (2022) (0)
- Reasoning with Cause and Effect 2 Structural Model Semantics Deenition 2.1 (causal Model) a Causal Model Is a Triple (1999) (0)
- 2 An oracle for policies or an aid to forecasters ? (2014) (0)
- On the Statistical Interpretation of Structural Equations - eScholarship (2011) (0)
- Causes of Eects and Eects of Causes (2014) (0)
- On Quantifying Bias in Causal Effects When Data Are Non-IID (2023) (0)
- Causality: Probability of Causation: Interpretation and Identification (2009) (0)
- Effectiveness of Orthogonal Transforms in Information Processing Applications. (1973) (0)
- Lord ’ s Paradox Revisited – ( Oh Lord ! Kumbaya ! ) Judea Pearl (2016) (0)
- UNCERTAINTY IN AI SYSTEMS (1988) (0)
- 2 . 1 Assessing covariate-induced heterogeneity (2015) (0)
- Dynamic Network Techniques for Autonomous Planning and Control (2000) (0)
- The Mathematics of Causal Relations Judea Pearl (0)
- Peer Reviewed Title: Graphical Condition for Identification in Recursive SEM (2006) (0)
- The algorithmization of counterfactuals ( or , what if Oswald were a robot ? ) (2011) (0)
- A note on the pairwise Markov condition in directed Markov fields (2012) (0)
- A Maximum Entropy Approach to NOIl notonic Mois (1999) (0)
- Book reviews (2019) (0)
- Advanced technology Vortexes are creating a stir in the superconductor field (0)
- 1 Introduction-Physical and Metaphysical Conceptions of Actions (2010) (0)
- Causal reasoning with continuous uncertain quantities (1988) (0)
- Causal , Casual and Curious (2013) (0)
- Comments on `Surrogate measures and consistent surrogates' (by Tyler VanderWeele) (2013) (0)
- The Causal Foundations of Structural Equation Modeling - eScholarship (2011) (0)
- The Foundations of Causal Inference : A Review ∗ (2010) (0)
- NON-NUMERICAL APPROACHES TO PLAUSIBLE INFERENCE INTRODUCTION (2002) (0)
- AND ITS REPRESENTATIONS * (0)
- Asymptotic Complexity of Game-Searching Procedures (1980) (0)
- A Causal Calculus for Statistical Research 3.1 Introduction (1996) (0)
- UCLA UCLA Title : Causal inference in statistics : An overview (0)
- A Framework forProcessingValue Judgments (1977) (0)
- Distributed Inferencing for Classification (1991) (0)
- On the complexity of deriving imprecise assertions (1976) (0)
- Direct and Indirect Eeects (first Draft, Comments Welcome) (2001) (0)
- Axiom, Definition, Assumption, or Theorem? (2010) (0)
- Lord ’ s Paradox Revisited – ( (2014) (0)
- Identification of Conditional Interventional Distributions - eScholarship (2006) (0)
- On Counterfactuals and Cognitive Science: Rumlhart Prize Symposium in Honor of Judea Pearl (2011) (0)
- 3 Interpretable Conditions 3 . 1 Preliminary Notation and Nomenclature (0)
- Causality: Preface to the First Edition (2009) (0)
- BOOK REVIEW A Structural Approach to the Understanding of Causes, Effects, and Judgment (2002) (0)
- Exogeneity and Superexogeneity: A No-tear Perspective (2011) (0)
- Title The mathematics of causal inference Permalink (2013) (0)
- Theoretical Impediments to Machine Learning A position paper (2016) (0)
- of Causal Eects: A Formal Approach (2013) (0)
- Dynamic Constraints Networks (1989) (0)
- Flowers of the First Law (2015) (0)
- If Oswald Hadn't Used Counterfactuals, My Robot Would Have (2010) (0)
- ESSAY : Probability in Artificial Intelligence (0)
- Complete Identification Methods for the Causal Hierarchy - eScholarship (2008) (0)
- The mathematics of causal inference - eScholarship (2013) (0)
- ON NEUBERG ’ S REVIEW OF CAUSALITY (0)
- A Causal Calculus (draft Copy) (0)
- Causal , Casual and Curious Judea Pearl * Generalizing Experimental Findings (2015) (0)
- Title Comment on ` Causal inference , probability theory , and graphical insights ' (2013) (0)
- Invited Commentary: Unders tanding Bias Amplification (2011) (0)
- LOGIC AND PROBABILITY: THE STRANGE CONNECTION (1988) (0)
- Structural causal models: a formalism for reasoning about actions and counterfactuals (1997) (0)
- Preface to the ACM TIST Special Issue on Causal Discovery and Inference (2016) (0)
- 13 When Would x Tell You GRAPHOIDS : Graph-Based Logic for Reasoning about Relevance Relations * Or More about y If You Already Know z ? (2022) (0)
- A Short Rejoinder to Rejoinder (2002) (0)
- GRAPHS , CAUSALITY (1998) (0)
- Judea Pearl * The Deductive Approach to Causal Inference (2014) (0)
- 4. Summary: Where Is Econometric Modelling Today? (2008) (0)
- The Mathematics of Causal Relations Judea Pearl Cognitive Systems Laboratory Computer Science (2010) (0)
- Discussing and Displaying the Effectiveness of Causal Models for Observational Studies (2003) (0)
- Causality: The Actual Cause (2009) (0)
- Title Graphical models for inference with missing data Permalink (2013) (0)
- Causation and decision: On Dawid’s “Decision theoretic foundation of statistical causality” (2022) (0)
- Non-parametric Identification of Causal Effects, or Structural Modeling without Equations (1995) (0)
- Artificial Intelligence Axioms of causal relevance (2003) (0)
- On the Identification of Nonparametric Structural Models - eScholarship (2011) (0)
- The effect of crossed fields on the velocity distribution of hollow electron beams (1964) (0)
- Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models (2015) (0)
- On the Foundation of Structural Equation Models or When Can We Give Causal Interpretation to Structural Coeecients? 1 Identiiability and Causal Authenticity (0)
- Reasoning with cause and effect - eScholarship (2011) (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)

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