Causality: Models, Reasoning And Inference

 ( Book Product ) 

• Causality available on November 08 2023 from BiggerBooks for 47.77
  
• Causality: Models, Reasoning And Inference available on June 08 2023 from Indigo for 50.95
  
• Causality: Models, Reasoning, And Interference available on September 22 2018 from Newegg for itemprop="offers" target="_external" title="" itemscope itemtype="http://schema.org/Offer">74.53
  
• Causality: Models, Reasoning, And Interference available on March 23 2017 from NeweggBusiness for itemprop="offers" target="_external" title="" itemscope itemtype="http://schema.org/Offer">86.43
  
• ISBN bar code 9780521895606 ξ1 registered November 08 2023
  
• ISBN bar code 9780521895606 ξ2 registered June 08 2023
  
• ISBN bar code 9780521895606 ξ3 registered September 22 2018
  
• ISBN bar code 9780521895606 ξ4 registered March 23 2017
  
• Product category is Causality, 9780521895606, Book, Textbook Book

• Sku # 9780521895606N
  
• Sku # 978052189560
  
• Sku # 9SIA9UT3XR7898
  
• Sku # 9SIV0UN4NY9701
  

It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. The book will open the way for including causal analysis in the standard curricula of statistics, artificial intelligence, business, epidemiology, social sciences, and economics. Students in these fields will find natural models, simple inferential procedures, and precise mathematical definitions of causal concepts that traditional texts have evaded or made unduly complicated. The first edition of Causality has led to a paradigmatic change in the way that causality is treated in statistics, philosophy, computer science, social science, and economics. Cited in more than 5,000 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers'' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interests to students and professionals in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable.

^ Judea Pearl (2014). Causality, Cambridge University Press. BiggerBooks. ISBN 9780521895606 (revised Nov 2023)
^ Causality: Models, Reasoning And Inference Indigo. ISBN 9780521895606 (revised Jun 2023)
^ Causality: Models, Reasoning, And Interference, Cambridge Univ Pr. Newegg. ISBN 9780521895606 (revised Sep 2018)
^ Causality: Models, Reasoning, And Interference, Cambridge Univ Pr. NeweggBusiness. ISBN 9780521895606 (revised Mar 2017)