Bayesians Versus Frequentists

Jordi Vallverdú, Ph.D., M.Sci., B.Mus, B.Phil is a Tenure Professor at Universitat Autònoma de Barcelona, Catalonia, Spain. His research embraces the cognitive and epistemic aspects of contemporary scientific research, especially in the fields of emotional modelling, computer science and robotics. In 2011 he won a Japanese JSPS fellowship to pursue research on computational HRI interfaces at Kyoto University. He was a keynote speaker at ECAP09 (TUM, Munich, Germany), EBICC2012 (UNESP, Brazil) and SLACTIONS 2013 (Portugal). As an expert on emotions and cognition he founded and serves as an Editor-in-chief of the International Journal of Synthetic Emotions (IJSE). He is also a research member of GEHUCT and TECNOCOG.

Some Questions to Begin with.- Ancient Statistics History in a Nutshell.- The Bayesian Approach and its Evolution until the Beginning of 20^th Century.- A Conceptual Reply to Reverend Bayes: the Frequentist Approach.- The Co-evolution, Battles and Fights of Both Paradigms.- The Birth of Multicausality as the Death of
Causality and Their Statistical Corollaries.- Natural vs. Artificial Minds and the
Supercomputing Era.- And the Winner is....- References.

"This book argues for the superiority of bayesianism (the author prefers lower-case) over frequentism, collecting nearly two dozen articles organized into a few sections with an index of persons. ... Anyone interested in the history of statistics, let alone the subject debate, and in how our choice of statistical foundation affects our view of the world will find this work entertaining in enlightening." (Tom Schulte, MAA Reviews, maa.org, August, 2016)