Probabilistic and causal inference : the works of Judea Pearl /

"Professor Judea Pearl won the 2011 Turing Award 'for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning.' This book contains the original articles that led to the award, as well as other seminal works, div...

Full description

Saved in:
Bibliographic Details
Online Access: Full text (MCPHS users only)
Other Authors: Geffner, Hector (Editor), Dechter, Rina, 1950- (Editor), Halpern, Joseph Y., 1953- (Editor), Pearl, Judea (honouree.)
Format: Electronic eBook
Language:English
Published: [New York, NY, USA] : Association for Computing Machinery, 2022
Edition:First edition.
Series:ACM books ; #36.
Subjects:
Local Note:ProQuest Ebook Central
Table of Contents:
  • Part I. Introduction. Biography of Judea Pearl by Stuart J. Russell 3
  • Turing Award Lecture
  • Interview by Martin Ford
  • An Interview with Ron Wassertein on How The Book of Why
  • Selected Annotated Bibliography by Judea Pearl. Search and Heuristics ; Bayesian Networks ; Causality ; Causal, Casual, and Curious.
  • part II. Heuristics. Asymptotic Properties of Minimax Trees and Game-Searching / Judea Pearl
  • The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm and its Optimality / Judea Pearl
  • On the Discovery and Generation of Certain Heuristics / Judea Pearl.
  • part III. Probabilities. Reverend Bayes on Inference Engines : A Distributed Hierarchical Approach
  • Fusion, Propagation, and Structuring in Belief Networks / Judea Pearl
  • Fusion, Propagation, and Structuring in Belief Networks / Judea Pearl
  • 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
  • System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning / Judea Pearl.
  • part IV. Causality 1988-2001. Equivalence and Synthesis of Causal Models / TS Verma and Judea Pearl
  • Probabilistic Evaluation of Counterfactual Queries / Alexander Balke and Judea Pearl
  • Causal Diagrams for Empirical Research (With Discussions) / Judea Pearl
  • Probabilities of Causation : Three Counterfactual Interpretations and Their Identification / Judea Pearl
  • Direct and Indirect Effects / Judea Pearl.
  • part V. Causality 2002-2020. Comment : Understanding Simpson's Paradox / Judea Pearl
  • Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data / Karthika Mohan and Judea Pearl
  • Recovering from Selection Bias in Causal and Statistical Inference / Elias Bareinboim, Jin Tian and Judea Pearl
  • External Validity : From Do-Calculus to Transportability Across Populations / Judea Pearl and Elias Bareinboim
  • Detecting Latent Heterogeneity / Judea Pearl.
  • part VI. Contributed articles. On Pearl's Hierarchy and the Foundations of Causal Inference / Elias Bareinboim, Juan D. Correa, Duligur Ibeling and Thomas Icard
  • The Tale Wags the DAG / Philip Dawid
  • Instrumental Variables with Treatment-induced Selection : Exact Bias Results / Felix Elwert and Elan Segarra
  • Causal Models and Cognitive Development / Alison Gopnik
  • The Causal Foundations of Applied Probability and Statistics / Sander Greenland
  • Pearl on Actual Causation / Christopher Hitchcock
  • Causal Diagram and Social Science Research / Kosuke Imai
  • Causal Graphs for Missing Data : A Gentle Introduction / Karthika Mohan
  • A Note of Appreciation / Azaria Paz
  • Causal Models for Dynamical Systems / Jonas Peters, Stefan Bauer and Niklas Pfister
  • Probabilistic Programming Languages : Independent Choices and Deterministic Systems / David Poole and Frank Wood
  • An Interventionist Approach to Mediation Analysis / James M. Robins, Thomas S. Richardson and Ilya Shpitser
  • Causality for Machine Learning / Bernhard Schölkopf
  • Why Did They Do That? / Ross Shachter and David Heckerman
  • Multivariate Counterfactual Systems and Causal Graphical Models / Ilya Shpitser, Thomas S. Richardson and James M. Robins
  • Causal Bayes Nets as Psychological Theory / Steven A. Sloman
  • Causation : Objective or Subjective? / Wolfgang Spohn.