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Most popular at the top
- Elsevier Science 2009; US$ 73.95
This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software... more...
- Wiley 2009; US$ 494.00
This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion... more...
- Princeton University Press 2008; US$ 31.95
It is widely held that Bayesian decision theory is the final word on how a rational person should make decisions. However, Leonard Savage--the inventor of Bayesian decision theory--argued that it would be ridiculous to use his theory outside the kind of small world in which it is always possible to "look before you leap." If taken seriously, this... more...
- Wiley 2012; US$ 133.00
A practical approach to estimating and tracking dynamic systems in real-worl applications Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Bayesian Estimation and Tracking addresses the gap in the field on both accounts, providing... more...
- Springer Netherlands 2012; US$ 129.00
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$ 39.95
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$ 29.99
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 2013; US$ 87.95
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$ 75.95
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$ 89.95
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...