Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability—keeping theoretical and philosophical justifications limited. It offers a balanced approach to three natural…
In this engaging, even lyrical, book, Jan Lauwereyns examines the neural underpinnings of decision-making, using 'bias' as his core concept rather than the more common but noncommittal terms 'selection' and 'attention'.OCLC-licensed vendor bibliographic record.
Experimental and theoretical neuroscientists use Bayesian approaches to analyse the brain mechanisms of perception decision-making, and motor control.OCLC-licensed vendor bibliographic record.
Tools to make hard problems easier to solve.OCLC-licensed vendor bibliographic record.
The physics of condensed matter, in contrast to quantum physics or cosmology, is not traditionally associated with deep philosophical questions. However, as science - largely thanks to more powerful computers - becomes capable of analysing and modelling ever more complex many-body systems, basic questions of philosophical relevance arise. Questions about the emergence of structure, the nature o…
"A defense of the rationality of adductive inference from the criticisms of Bayesian theorists"--OCLC-licensed vendor bibliographic record.
"A much-needed synthesis of active inference, a theory of mind that addresses cognition, behavior, intelligence, & mental disorders and which can be extended to explain behavior in all living systems"--OCLC-licensed vendor bibliographic record.
Why America's data system is broken, and how to fix it.Why, with data increasingly important, available, valuable and cheap, are the data produced by the American government getting worse and costing more' State and local governments rely on population data from the US Census Bureau; prospective college students and their parents can check data from the National Center for Education Statistics;…
Advanced Computational Approaches for Predicting Tourist Arrivals: the Case of Charter Air-Travel
This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate – but introduces as fundamental the concept of random numbers d…