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Bayesian statistical decision theory

Most popular at the top

  • Bayesian Modeling Using WinBUGSby Ioannis Ntzoufras

    Wiley 2009; US$ 146.00

    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...

  • Subjective and Objective Bayesian Statisticsby S. James Press

    Wiley 2009; US$ 165.00

    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 guru... more...

  • Bayesian Networksby Timo Koski; John Noble

    Wiley 2009; US$ 98.95

    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...

  • R Cookbookby Paul Teetor

    O'Reilly Media 2011; US$ 31.99

    With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic... more...

  • Pratique du calcul bayésienby Jean-Jacques Boreux; Eric Parent; Jacques Bernier

    Springer 2010; US$ 47.99

    La premiere partie de cet ouvrage privilegie les modeles statistiques parametriques calculables a la main. Des le premier chapitre, la representation du modele par un graphe acyclique oriente permet de distinguer clairement la phase ou la creativite du chercheur s'exprime de celle ou il calcule. A cette fin, le logiciel libre WinBUGS sera tres... more...

  • Understanding Computational Bayesian Statisticsby William M. Bolstad

    Wiley 2012; US$ 133.00

    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 obtainable to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is explained clearly with... more...

  • Bayesian Estimation and Trackingby Anton J. Haug

    Wiley 2012; US$ 125.00

    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...

  • 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$ 57.95

    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...