Announcing a new book on Causal Inference A new book "Causal Inference in Statistics - A Primer" by J. Pearl, M. Glymour and N. Jewell is now available on Kindle, and will be available in print Feb. 26, 2016 . http://www.amazon.com/Causality-A-Primer-Judea-Pearl/dp/1119186846
This book introduces core elements of causal inference into undergraduate and lower-division graduate classes in data-intensive sciences. The aim is to provide students with an understanding of how data are generated and interpreted, at the earliest stage of their statistics education. To that end, the book empowers students with models nad tools for answering nontrivial causal questions using vivid examples and simple mathematics. Topics include causal models, model testing, effects of interventions, mediation analysis, and reasoning with counterfactuals, in both linear and nonparametric systems. The Table of Contents, Preface and excerpts from the four chapters can be viewed here: http://bayes.cs.ucla.edu/PRIMER/ A book website, providing answers to homeworks and computer programs for simulation and inference (using dagitty). is currently under construction. Judea Pearl Professor UCLA Computer Science Department 4532 Boelter Hall Los Angeles, CA 90095-1596 310.825.3243 ju...@cs.ucla.edu ----- Original Message -----
_______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
