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Bayesian statistical decision theory

  • Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectivesby Andrew Gelman; Xiao-Li Meng

    Wiley 2004; US$ 135.00

    This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated... more...

  • Applied Bayesian Modellingby Peter Congdon

    Wiley 2003; US$ 141.00

    The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and... more...

  • Approximation Methods for Efficient Learning of Bayesian Networksby C. Riggelsen

    IOS Press 2008; US$ 119.00

    This publication offers and investigates efficient Monte Carlo simulation methods in order to realize a Bayesian approach to approximate learning of Bayesian networks from both complete and incomplete data. For large amounts of incomplete data when Monte Carlo methods are inefficient, approximations are implemented, such that learning remains feasible,... more...

  • Bayes Linear Statistics, Theory & Methodsby Michael Goldstein; David Wooff

    Wiley 2007; US$ 173.00

    Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology... more...

  • Bayesian Approaches to Clinical Trials and Health-Care Evaluationby David J. Spiegelhalter; Keith R. Abrams; Jonathan P. Myles

    Wiley 2004; US$ 94.00

    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.   Order... more...

  • Bayesian Argumentationby Frank Zenker

    Springer 2012; US$ 129.00

    Relevant to, and drawing from, a range of disciplines, the chapters in this collection show the diversity, and applicability, of research in Bayesian argumentation. Together, they form a challenge to philosophers versed in both the use and criticism of Bayesian models who have largely overlooked their potential in argumentation. Selected from contributions... more...

  • Bayesian Artificial Intelligenceby Kevin B. Korb; Ann E. Nicholson

    Taylor and Francis 2003; US$ 104.95

    As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in many computer science programs. Unlike other books on the subject, Bayesian Artificial Intelligence keeps mathematical... more...

  • Bayesian Computation with Rby Jim Albert

    Springer 2009; US$ 59.95

    There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free... more...

  • Bayesian Epistemologyby Luc Bovens; Stephan Hartmann

    Oxford University Press 2004; US$ 54.99

    Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information... more...

  • Bayesian Estimation and Trackingby Anton J. Haug

    Wiley 2012; US$ 129.00

    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...