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Bayesian statistical decision theory

Most popular at the top

  • Understanding Computational Bayesian Statisticsby William M. Bolstad

    Wiley 2011; US$ 137.00

    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...

  • Strategic Economic Decision-Makingby Jeff Grover

    Springer 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’... more...

  • Applied Bayesian Modellingby Peter Congdon

    Wiley 2014; US$ 90.95

    This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own... 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, the... more...

  • Bayesian Networksby Timo Koski; John Noble

    Wiley 2011; US$ 101.95

    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...

  • Bayesian Statisticsby Peter M. Lee

    Wiley 2012; US$ 61.95

    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... more...

  • Bayesian Reasoning in Data Analysisby Giulio D'Agostini

    World Scientific Publishing Company 2003; US$ 176.00

    This book provides a multi-level introduction to Bayesian reasoning (as opposed to “conventional statistics”) and its applications to data analysis. The basic ideas of this “new” approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric... more...

  • Bayesian Modeling Using WinBUGSby Ioannis Ntzoufras

    Wiley 2011; US$ 151.00

    A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles... more...