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Bayesian statistical decision theory

Most popular at the top

  • 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$ 39.95

    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 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...

  • 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...

  • 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 Data Analysis, Third Editionby Andrew Gelman; John B. Carlin; Hal S. Stern; David B. Dunson; Aki Vehtari; Donald B. Rubin

    CRC Press 2013; US$ 69.95

    Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors?all leaders in... more...

  • The BUGS Bookby David Lunn; Chris Jackson; Nicky Best; Andrew Thomas; David Spiegelhalter

    CRC Press 2012; US$ 52.95

    Introduction: Probability and Parameters Probability Probability distributions Calculating properties of probability distributions Monte Carlo integration Monte Carlo Simulations Using BUGS Introduction to BUGS DoodleBUGS Using BUGS to simulate from distributions Transformations of random variables Complex calculations using Monte Carlo Multivariate... more...

  • Bayesian Ideas and Data Analysisby Ronald Christensen; Wesley Johnson; Adam Branscum; Timothy E Hanson

    CRC Press 2010; US$ 75.95

    This book provides a good introduction to Bayesian approaches to applied statistical modelling. ? The authors have fulfilled their main aim of introducing Bayesian ideas through examples using a large number of statistical models. An interesting feature of this book is the humour of the authors that make it more fun than typical statistics books.... more...