Most textbooks on regression focus on theory and the simplest of examples. Real statistical probl...

To help overcome the challenges of teaching statistics across various diciplines, Gelman and Nola...

'Applied regression and causal inference are central to statistics and data science. This book pr...

Bayesian Workflow Using Stan

Data Analysis Using Regression and Multilevel Hierarchical Models, first published in 2007, is a ...

The 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon Universit...

In this book, prominent social scientists describe quantitative models in economics, history, soc...

The 6th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon Universit...

This book, first published in 2007, is for the applied researcher performing data analysis using ...

This book comprises the selected contributions from the 2nd World Congress on Condition Monitorin...

This book provides an accessible, non-technical overview of how quantitative research is done in ...

Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis