Change, Choice and Inference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Change, Choice and Inference write by Hans Rott. This book was released on 2001. Change, Choice and Inference available in PDF, EPUB and Kindle. This work develops logical theories necessary to understand adaptable human reasoning & the design ofintelligent systems. It unifies lively & significant strands of research in logic, philosophy, economics & artificial intelligence.
Model Selection and Multimodel Inference
Model Selection and Multimodel Inference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Selection and Multimodel Inference write by Kenneth P. Burnham. This book was released on 2007-05-28. Model Selection and Multimodel Inference available in PDF, EPUB and Kindle. A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.
A Logical Theory of Nonmonotonic Inference and Belief Change
A Logical Theory of Nonmonotonic Inference and Belief Change - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Logical Theory of Nonmonotonic Inference and Belief Change write by Alexander Bochman. This book was released on 2013-03-14. A Logical Theory of Nonmonotonic Inference and Belief Change available in PDF, EPUB and Kindle. This is the first book that integrates nonmonotonic reasoning and belief change into a single framework from an artificial intelligence logic point-of-view. The approach to both these subjects is based on a powerful notion of an epistemic state that subsumes both existing models for nonmonotonic inference and current models for belief change. Many results and constructions in the book are completely new and have not appeared earlier in the literature.
Behavioral Social Choice
Behavioral Social Choice - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Behavioral Social Choice write by Michel Regenwetter. This book was released on 2006-05-15. Behavioral Social Choice available in PDF, EPUB and Kindle. Behavioral Social Choice looks at the probabilistic foundations of collective decision-making rules. The authors challenge much of the existing theoretical wisdom about social choice processes, and seek to restore faith in the possibility of democratic decision-making. In particular, they argue that worries about the supposed prevalence of majority rule cycles that would preclude groups from reaching a final decision about what alternative they prefer have been greatly overstated. In practice, majority rule can be expected to work well in most real-world settings. They provide new insights into how alternative model specifications can change our estimates of social orderings.
Statistical Inference as Severe Testing
Statistical Inference as Severe Testing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Inference as Severe Testing write by Deborah G. Mayo. This book was released on 2018-09-20. Statistical Inference as Severe Testing available in PDF, EPUB and Kindle. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
