Bayesian Social Science Statistics

A former Google data scientist helps you master the basics of Bayesian statistics, with examples in R and Stan

by Adriano Polpo de Campos (Editor), Francisco Louzada Neto (Editor), Laura Ramos Rifo (Editor), Julio Michael Stern (Editor), Marcelo Lauretto (Editor)

Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations.

These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They gather research from scholars in many different fields who use inductive statistics methods and focus on the foundations of the Bayesian paradigm, their comparison to objectivistic or frequentist statistics counterparts, and their appropriate applications.

Build powerful statistical models, simulate uncertainty, & master Bayesian thinking using real data & modern tools in R