Probabilistic and Causal Inference / (Record no. 933)
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| fixed length control field | 15601nam a2200973 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781450395892 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | ACM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260609133907.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220228s2022 nyu 001 0deng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 3501714 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781450395892 |
| Qualifying information | ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781450395885 |
| Qualifying information | epub |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781450395861 |
| Qualifying information | hardcover |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781450395878 |
| Qualifying information | paperback |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1145/3501714 |
| Source of number or code | doi |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Geffner, Hector |
| Relator term | editor. |
| 245 10 - TITLE STATEMENT | |
| Title | Probabilistic and Causal Inference / |
| Remainder of title | The Works of Judea Pearl / |
| Statement of responsibility, etc. | Hector Geffner, Rina Dechter, Joseph Y. Halpern. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First Edition |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [New York, NY, USA] : |
| Name of producer, publisher, distributor, manufacturer | Association for Computing Machinery; |
| Date of production, publication, distribution, manufacture, or copyright notice | [2022]. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (xxviii, 916 pages) |
| Other physical details | LuaTEX |
| 490 1# - SERIES STATEMENT | |
| Series statement | ACM books, |
| International Standard Serial Number | 2374-6777 ; |
| Volume/sequential designation | #36 |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Preface |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Credits |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | PART I INTRODUCTION |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1 Biography of Judea Pearl by Stuart J. Russell -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 2 Turing Award Lecture -- References |
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| Formatted contents note | 3 Interview by Martin Ford -- References |
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| Formatted contents note | 4 An Interview with Ron Wassertein on How The Book of Why Transforms Statistics -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5 Selected Annotated Bibliography by Judea Pearl -- Search and Heuristics -- Bayesian Networks -- Causality -- Causal, Casual, and Curious |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5 PART II HEURISTICS |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 6 Introduction by Judea Pearl -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 7 Asymptotic Properties of Minimax Trees and Game-Searching Procedures -- Judea Pearl -- Abstract -- 7.1 The Probability of Winning a Standard h-level Game Tree with Random WIN Positions -- 7.2 Game Trees with an Arbitrary Distribution of Terminal Values -- 7.3 The Mean Complexity of Solving (h, d, P₀)-game -- 7.4 Solving, Testing, and Evaluating Game Trees -- 7.5 Test and, if Necessary, Evaluate-The SCOUT Algorithm -- 7.6 Analysis of SCOUT's Expected Performance -- 7.7 On the Branching Factor of the ALPHA-BETA (α-β) procedure -- References |
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| Formatted contents note | 8 The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm and its Optimality -- Judea Pearl -- 8.1 Introduction -- 8.2 Analysis -- 8.3 Conclusions -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 9 On the Discovery and Generation of Certain Heuristics -- Judea Pearl -- Abstract -- 9.1 Introduction: Typical Uses of Heuristics -- 9.2 Mechanical Generation of Admissible Heuristics -- 9.3 Can a Program Tell an Easy Problem When It Sees One? -- 9.4 Conclusions -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | PART III PROBABILITIES |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 10 Introduction by Judea Pearl -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 11 Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach -- Judea Pearl -- Abstract -- 11.1 Introduction -- 11.2 Definitions and Nomenclature -- 11.3 Structural Assumptions -- 11.4 Combining Top and Bottom Evidences -- 11.5 Propagation of Information Through the Network -- 11.6 A Token Game Illustration -- 11.7 Properties of the Updating Scheme -- 11.8 A Summary of Proofs -- 11.9 Conclusions -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 12 Fusion, Propagation, and Structuring in Belief Networks -- Judea Pearl -- Abstract -- 12.1 Introduction -- 12.2 Fusion and Propagation -- 12.3 Structuring Causal Trees -- 12.A Appendix A. Derivation of the Updating Rules for Singly Connected Networks -- 12.B Appendix B. Conditions for Star-decomposability -- Acknowledgments -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 13 GRAPHOIDS: Graph-Based Logic for Reasoning about Relevance Relations Or When Would x Tell You More about y If You Already Know z? -- Judea Pearl and Azaria Paz -- Abstract -- 13.1 Introduction -- 13.2 Probabilistic Dependencies and their Graphical Representation -- 13.3 GRAPHOIDS -- 13.4 Special Graphoids and Open Problems -- 13.5 Conclusions -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 14 14 System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning -- Judea Pearl -- Abstract -- 14.1 Description -- 14.2 Consequence Relations -- 14.3 Illustrations -- 14.4 The Maximum Entropy Approach -- 14.5 Conditional Entailment -- 14.6 Conclusions -- Acknowledgments -- 14.I Appendix I: Uniqueness of The Minimal Ranking Function -- 14.II Appendix II: Rational Monotony of Admissible Rankings -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | PART IV CAUSALITY 1988-2001 |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 15 Introduction by Judea Pearl -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 16 Equivalence and Synthesis of Causal Models -- TS Verma and Judea Pearl -- Abstract -- 16.1 Introduction -- 16.2 Patterns of Causal Models -- 16.3 Embedded Causal Models -- 16.4 Applications to the Synthesis of Causal Models -- IC-Algorithm (Inductive Causation) -Acknowledgments -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 17 Probabilistic Evaluation of Counterfactual Queries -- Alexander Balke and Judea Pearl -- Abstract -- 17.1 Introduction -- 17.2 Notation -- 17.3 Party Example -- 17.4 Probabilistic vs. Functional Specification -- 17.5 Evaluating Counterfactual Queries -- 17.6 Party Again -- 17.7 Special Case: Linear-Normal Models -- 17.8 Conclusion -- Acknowledgments |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 18 Causal Diagrams for Empirical Research (With Discussions) -- Judea Pearl -- Summary -- Some key words -- 18.1 Introduction -- 18.2 Graphical Models and the Manipulative Account of Causation -- 18.3 Controlling Confounding Bias -- 18.4 A Calculus of Intervention -- 18.5 Graphical Tests of Identifiability -- 18.6 Discussion -- Acknowledgments -- 18.A Appendix -- References -- 18.I Discussion of 'Causal Diagrams for Empirical Research' by J. Pearl -- 18.II Discussion of 'Causal Diagrams for Empirical Research' by J. Pearl -- 18.III Discussion of 'Causal Diagrams for Empirical Research' by J. Pearl -- 18.IV Discussion of 'Causal Diagrams for Empirical Research' by J. Pearl -- 18.V Discussion of 'Causal Diagrams for Empirical Research' by J. Pearl -- 18.VI Discussion of 'Causal Diagrams for Empirical Research' by J. Pearl -- 18.VII Discussion of 'Causal Diagrams for Empirical Research' by J. Pearl -- 18.VIII Discussion of 'Causal Diagrams for Empirical Research' by J. Pearl -- 18.IX Discussion of 'Causal Diagrams for Empirical Research' by J. Pearl -- 18.X Rejoinder to Discussions of 'Causal Diagrams for Empirical Research' -- Additional References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 19 Probabilities of Causation: Three Counterfactual Interpretations and Their Identification -- Judea Pearl -- Abstract -- 19.1 Introduction -- 19.2 Structural Model Semantics (A Review) -- 19.3 Necessary and Sufficient Causes: Conditions of Identification -- 19.4 Examples and Applications -- 19.5 Identification in Non-Monotonic Models -- 19.6 From Necessity and Sufficiency to "Actual Cause" -- 19.7 Conclusion -- 19.A Appendix: The Empirical Content of Counterfactuals -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 20 Direct and Indirect Effects -- Judea Pearl -- Abstract -- 20.1 Introduction -- 20.2 Conceptual Analysis -- 20.3 Formal Analysis -- 20.4 Conclusions -- Acknowledgments -- References |
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| Formatted contents note | PART V CAUSALITY 2002-2020 |
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| Formatted contents note | 21 Introduction by Judea Pearl -- References |
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| Formatted contents note | 22 Comment : Understanding Simpson's Paradox -- Judea Pearl -- 22.1 The History -- 22.2 A Paradox Resolved -- 22.3 Armistead's Critique -- 22.4 Conclusions -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 23 Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data -- Karthika Mohan and Judea Pearl -- Abstract -- 23.1 Introduction -- 23.2 Missingness Graph and Recoverability -- 23.3 Recovering Probabilistic Queries by Sequential Factorization -- 23.4 Recoverability in the Absence of an Admissible Sequence -- 23.5 Non-recoverability Criteria for Joint and Conditional Distributions -- 23.6 Recovering Causal Queries -- 23.7 Attrition -- 23.8 Related Work -- 23.9 Conclusion -- Acknowledgments -- References -- 23.A Appendix |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 24 Recovering from Selection Bias in Causal and Statistical Inference -- Elias Bareinboim, Jin Tian and Judea Pearl -- Abstract -- 24.1 Introduction -- 24.2 Recoverability without External Data -- 24.3 Recoverability with External Data -- 24.4 Recoverability of Causal Effects -- 24.5 Conclusions -- Acknowledgments -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 25 External Validity: From Do-Calculus to Transportability Across -- Judea Pearl and Elias Bareinboim -- Abstract -- Key words and phrases -- 25.1 Introduction: Threats vs. Assumptions Populations -- 25.2 Preliminaries: The Logical Foundations of Causal Inference -- 25.3 Inference Across Populations: Motivating Examples -- 25.4 Formalizing Transportability -- 25.5 Transportability of Causal Effects-A Graphical Criterion -- 25.6 Conclusions -- 25.AAppendix -- Acknowledgments -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 26 Detecting Latent Heterogeneity -- Judea Pearl -- Abstract -- Keywords -- 26.1 Introduction -- 26.2 Covariate-Induced Heterogeneity -- 26.3 Latent Heterogeneity between the Treated and Untreated -- 26.4 Three Ways of Detecting Heterogeneity -- 26.5 Example: Heterogeneity in Recruitment -- 26.6 Conclusions -- Acknowledgments -- Declaration of Conflicting Interests -- Funding -- References -- Author Biography -- 26.A Appendix A (An Extreme Case of Latent Heterogeneity) -- 26.B Appendix B (Assessing Heterogeneity in Structural Equation Models) |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | PART VI CONTRIBUTED ARTICLES |
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| Formatted contents note | 27 On Pearl's Hierarchy and the Foundations of Causal Inference -- Elias Bareinboim, Juan D. Correa, Duligur Ibeling and Thomas Icard -- Abstract -- 27.1 Introduction -- 27.2 Structural Causal Models and the Causal Hierarchy -- 27.3 Pearl Hierarchy-A Logical Perspective -- 27.4 Pearl Hierarchy-A Graphical Perspective -- 27.5 Conclusions -- Acknowledgments -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 28 The Tale Wags the DAG -- Philip Dawid -- Abstract -- 28.1 Introduction -- 28.2 The Ladder of Causation -- 28.3 Ground Level: Syntax -- 28.4 Rung 1: Seeing -- 28.5 Rung 2: Doing -- 28.6 Rung 3: Imagining -- 28.7 Conclusion -- References |
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| Formatted contents note | 29 Instrumental Variables with Treatment-induced Selection: Exact Bias -- Felix Elwert and Elan Segarra -- 29.1 Introduction -- 29.2 Causal Graphs -- 29.3 Instrumental Variables -- 29.4 Selection Bias in IV: Qualitative Analysis -- 29.5 Selection Bias in IV: Quantitative Analysis -- 29.6 Conclusion -- 29.A Appendix -- References |
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| Formatted contents note | 30 Causal Models and Cognitive Development -- Alison Gopnik -- References |
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| Formatted contents note | 31 The Causal Foundations of Applied Probability and Statistics -- Sander Greenland -- Abstract -- 31.1 Introduction: Scientific Inference is a Branch of Causality Theory -- 31.2 Causality is Central Even for Purely Descriptive Goals -- 31.3 The Strength of Probabilistic Independence Demands Physical Independence -- 31.4 The Superconducting Supercollider of Selection -- 31.5 Data and Algorithms are Causes of Reported Results -- 31.6 Getting Causality into Statistics by Putting Statistics into Causal Terms from the Start -- 31.7 Causation in 20th-century Statistics -- 31.8 Causal Analysis versus Traditional Statistical Analysis -- 31.9 Relating Causality to Traditional Statistical Philosophies and "Objective" Statistics --31.10 Discussion -- 31.11 Conclusion -- 31.A Appendix -- Acknowledgments -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 32 Pearl on Actual Causation -- Christopher Hitchcock -- Abstract -- 32.1 Introduction -- 32.2 Actual Causation -- 32.3 Causal Models and But-for Causation -- 32.4 Pre-emption and Lewis -- 32.5 Intransitivity and Overdetermination -- 32.6 Pearl's Definitions of Actual Causation -- 32.7 Pearl's Achievement -- References |
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| Formatted contents note | 33 Causal Diagram and Social Science Research -- Kosuke Imai -- 33.1 Graphical Causal Models and Social Science Research -- 33.2 Two Applications of Graphical Causal Models -- 33.3 The Future of Causal Research in the Social Sciences -- References |
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| Formatted contents note | 34 Causal Graphs for Missing Data: A Gentle Introduction -- Karthika Mohan -- 34.1 Introduction -- 34.2 Missingness Graphs -- 34.3 Recoverability -- 34.4 Testability -- References |
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| Formatted contents note | 35 A Note of Appreciation -- Azaria Paz -- 35.1 A Magic Square -- 35.2 A Magic Shield of David |
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| Formatted contents note | 36 Causal Models for Dynamical Systems -- Jonas Peters, Stefan Bauer and Niklas Pfister -- Abstract -- 36.1 Introduction -- 36.2 Chemical Reaction Networks and ODEs -- 36.3 Causal Kinetic Models - 36.4 Challenges in Causal Inference for ODE-based Systems -- 36.5 From Invariance to Causality and Generalizability -- 36.6 Conclusions -- Acknowledgments -- References |
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| Formatted contents note | 37 Probabilistic Programming Languages: Independent Choices and Deterministic Systems -- David Poole and Frank Wood -- 37.1 Probabilistic Models and Deterministic Systems -- 37.2 Possible Worlds Semantics -- 37.3 Inference -- 37.4 Learning -- 37.5 Other Issues -- 37.6 Causal Models -- 37.7 Some Pivotal References -- 37.8 Conclusion -- References |
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| Formatted contents note | 38 An Interventionist Approach to Mediation Analysis -- James M. Robins, Thomas S. Richardson and Ilya Shpitser -- 38.1 Introduction -- 38.2 Approaches to Mediation Based on Counterfactuals Defined in Terms of the Mediator: The CDE and PDE -- 38.3 Interventionist Theory of Mediation -- 38.4 Path-Specific Counterfactuals -- 38.5 Conclusion -- Acknowledgments -- 38.A Appendix -- References |
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| Formatted contents note | 39 Causality for Machine Learning -- Bernhard Schölkopf -- Abstract -- 39.1 Introduction -- 39.2 The Mechanization of Information Processing -- 39.3 From Statistical to Causal Models -- 39.4 Levels of Causal Modeling -- 39.5 Independent Causal Mechanisms -- 39.6 Cause-Effect Discovery -- 39.7 Half-sibling Regression and Exoplanet Detection -- 39.8 Invariance, Robustness, and Semi-supervised Learning -- 39.9 Causal Representation Learning -- 39.10 Personal Notes and Conclusion -- Acknowledgments -- References |
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| Formatted contents note | 40 Why Did They Do That? -- Ross Shachter and David Heckerman -- Abstract -- 40.1 Introduction -- 40.2 Some Examples -- 40.3 Back to the Garden of Eden -- 40.4 Decision Theory and Decision Analysis -- 40.5 Back Again in the Garden of Eden -- 40.6 Conclusion: God's Decision -- References |
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| Formatted contents note | 41 Multivariate Counterfactual Systems and Causal Graphical Models -- Ilya Shpitser, Thomas S. Richardson and James M. Robins -- 41.1 Introduction -- 41.2 Graphs, Non-parametric Structural Equation Models, and the g-/do Operator -- 41.3 The Potential Outcomes Calculus and Identification -- 41.4 Identification in Hidden Variable Causal Models -- 41.5 Conclusion -- Acknowledgments -- 41.A Appendix -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 42 Causal Bayes Nets as Psychological Theory -- Steven A. Sloman -- Abstract -- 42.1 The Human Conception of Causality -- 42.2 Core Properties -- 42.3 The Broader Perspective: The Community of Knowledge -- 42.4 Collective Causal Models -- 42.5 Conclusion -- Acknowledgments -- References |
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| Formatted contents note | 43 Causation: Objective or Subjective? -- Wolfgang Spohn -- Abstract -- 43.1 Causation: A Bunch of Attitudes -- 43.2 The Model Relativity of Causation -- 43.3 Laws -- 43.4 Probability -- Acknowledgments -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Editors' Biographies |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Index |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Abstract freely available; full-text restricted to subscribers or individual document purchasers. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | System requirements: Adobe Acrobat Reader |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Probabilistic and Causal Inference (Computer Science) |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9781450395861 |
| -- | 9781450395878 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | ACM books - Collection 2 ; |
| Volume/sequential designation | #36. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to full text |
| Uniform Resource Identifier | <a href="https://doi.org/10.1145/3501714">https://doi.org/10.1145/3501714</a> |
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