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Bayesian statistical decision theory

Most popular at the top

  • 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...

  • Bayesian Networks and Influence Diagramsby Uffe B. Kjaerulff; Anders L. Madsen

    Springer 2007; US$ 109.00

    Probabilistic networks have become one of the promising technologies in the area of applied artificial intelligence. This title provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. more...

  • Bayesian Modeling Using WinBUGSby Ioannis Ntzoufras

    Wiley 2011; US$ 156.00

    Ioannis Ntzoufras, PhD, is Assistant Professor of Statistics at Athens University of Economics and Business (Greece). Dr. Ntzoufras has published numerous journal articles in his areas of research interest, which include Bayesian statistics, statistical analysis and programming, and generalized linear models. more...

  • Subjective and Objective Bayesian Statisticsby S. James Press

    Wiley 2009; US$ 176.00

    Shorter, more concise chapters provide flexible coverage of the subject. Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging. Includes topics not covered in other books, such as the de Finetti Transform. Author S. James Press is the modern... more...

  • Bayesian Networksby Timo Koski; John Noble

    Wiley 2011; US$ 105.95

    Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of... more...

  • Understanding Computational Bayesian Statisticsby William M. Bolstad

    Wiley 2011; US$ 142.00

    A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic,... more...

  • Doing Bayesian Data Analysisby John Kruschke

    Elsevier Science 2010; US$ 89.95

    There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible... more...

  • Exponential Data Fitting and its Applicationsby Victor Pereyra; Godela Scherer

    Bentham Science Publishers 2010; US$ 59.00

    Real and complex exponential data fitting is an important activity in many different areas of science and engineering, ranging from Nuclear Magnetic Resonance Spectroscopy and Lattice Quantum Chromodynamics to Electrical and Chemical Engineering, Vision and Robotics. The most commonly used norm in the approximation by linear combinations of exponentials... more...

  • Bayesian Statisticsby Peter M. Lee

    Wiley 2012; US$ 63.95

    Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee?s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This new fourth edition looks at recent techniques such... more...

  • Case Studies in Bayesian Statistical Modelling and Analysisby Clair L. Alston; Kerrie L. Mengersen; Anthony N. Pettitt

    Wiley 2012; US$ 105.00

    Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model,... more...