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Most popular at the top
- Springer Netherlands 2012; US$ 127.37
This book offers a detailed overview of the application of Baysian argumentation in philosophy, linguistics and social psychology. It provides a formal measure of subjective argument strength and argument force. Includes analyses of real life court cases. more...
- Springer New York 2012; US$ 37.14
Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems is a quick primer on the topic that introduces readers to the basic complexities and nuances associated with learning Bayes? theory and inverse probability for the first time. This brief is meant for non-statisticians who are unfamiliar with Bayes? theorem, walking them... more...
- Springer Berlin Heidelberg 2013; US$ 20.51
Die Autorin macht die Bedeutung des Bayes-Theorems einem breiten Publikum verständlich: von seiner Entdeckung im 18. Jahrhundert, der Weiterentwicklung durch Laplace über die vielen Kontroversen, die es ausgelöst hat, bis zur allgegenwärtigen Anwendung heute. more...
- CRC Press 2012; US$ 89.95
Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop... more...
- CRC Press 2014; US$ 83.00
An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details... more...
- CRC Press 2014; US$ 101.00
Understand the Foundations of Bayesian Networks?Core Properties and Definitions Explained Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the simplest notions and gradually increase in complexity.... more...
- CRC Press 2009; US$ 109.95
Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-world... more...
- CRC Press 2010; US$ 114.95
Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors... more...
- Springer International Publishing 2015; US$ 79.61
This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book?s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric... more...
- Wiley 2004; US$ 97.00 US$ 84.07
READ ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society. Originating from the Medical Research Council’s biostatistics unit, David has played a leading role in the Bristol heart surgery and Harold Shipman inquiries. ... more...