Data Visualization: A Practical Introduction: Kieran Healy [Book Review]

Book Review: Populist Systems: A General Introduction

The BUGS Book: A Practical Introduction to Bayesian Analysis

This long-awaited text by the developers of BUGS, the most widely used software for Bayesian data analysis, provides a thorough description of BUGS and how to use it for Bayesian modeling. The first four chapters provide a introduction to Bayesian inference, the BUGS language, and the ideas behind Markov chain Monte Carlo (MCMC) methods. After this introduction, prior distributions are discusse...

The BUGS Book: A Practical Introduction to Bayesian Analysis

BUGS is a software project that began in Cambridge, England, and has been actively ongoing for more than twenty years. Its core purpose is to provide a computational companion to Bayesian statistical analyses, and the software makes extensive use of Markov chain Monte Carlo and similar simulation methods. At present the software exists in a number of versions, such as WinBUGS, OpenBUGS, and JAG...

Book Review: Starting or Strengthening a Drug Bulletin - A Practical Manual

Book Review: Mobile Robotics - A Practical Introduction, 2nd Edition, By Ulrich Nehmzow

Well, this book made me reconsider. In his introductory(!) book Ulrich Nehmzow not only gives practical high-level advice on most important aspects of robot building, but also rigorously emphasizes the theme of learning as it should be done. Some of his case studies are among the most interesting work in robot learning I have yet seen. Still, most of these approaches work with little computing ...