Bayesian Inference

This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-M...

Fine-tune your marketing research with this cutting-edge statistical toolkit Bayesian Statistics and Marketing illustrates the potential for apply...

Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or advanced undergraduate teachin...

Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or advanced undergraduate teachin...

Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particu...

The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues ...

This book walks you through learning probability and statistics from a Bayesian point of view.  From an introduction to probability theory throu...

This book walks you through learning probability and statistics from a Bayesian point of view.  From an introduction to probability theory throu...

Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated the...

Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book...

Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book...

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting. The framew...

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use direct...