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Free access to RSS-A article on effect of income on mortality news

  • Authors: Statistics Views
  • Published Date: Oct 31, 2016

Each week, we select a recently published article and provide free access. This week's is from the Royal Statistical Society's Series A journal - (Statistics in Society) and is available from Early...

Causal Inference in Statistics: A Primer - An interview with co-author Judea Pearl feature

  • Authors: Statistics Views
  • Published Date: Oct 24, 2016

Earlier this year, Wiley was proud to publish Causal Inference in Statistics: A Primer by Professors Judea Pearl and Madelyn Glymour of UCLA and Professor Nicholas P. Jewell of Berkeley. Many of the...

CMU 2015 Dickson Prize in Science awarded to Judea Pearl news

  • Authors: Statistics Views
  • Published Date: Mar 11, 2016

Carnegie Mellon University has awarded its 2015 Dickson Prize in Science to Judea Pearl, a computer scientist at UCLA who is internationally known for his contributions to artificial intelligence,...

Judea Pearl to receive inaugural Ulf Grenander Prize news

  • Authors: Statistics Views
  • Published Date: Dec 14, 2017

Judea Pearl will receive the 2018 Ulf Grenander Prize in Stochastic Theory and Modeling for the invention of a model-based approach to probabilistic and causal reasoning, for the discovery of...

Free access to paper on causal inference of binary experimental data news

  • Authors: Statistics Views
  • Published Date: Feb 11, 2019

Each week, we select a recently published article and offer either free access or highlight a recent open access publication. This week's is from the Scandinavian Journal of Statistics and is...

Causal Inference in Statistics: A Primer book

  • Authors: Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
  • Published Date: Mar 04, 2016

Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a...

"The thing about statistics is there’s not necessarily a right answer": An interview with Philip Dawid feature

  • Authors: Alison Oliver, Statistics Views
  • Published Date: May 02, 2019

Philip Dawid is Emeritus Professor of Statistics at the University of Cambridge. He has made fundamental contributions to both the philosophical underpinnings and the practical applications of...

Introduction to Causality - Part II video

  • Authors: Professors Judea Pearl & Nicholas P. Jewell
  • Published Date: Aug 11, 2014

"Causal inference begins in the crib" and "the quest for causal explanation is as old as human civilization. What has been delayed, however, is the ability of mankind to mathematize it. For some...

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Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.