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Bayesian statistical decision theory

  • 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...

  • 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 Theoryby José M. Bernardo; Adrian F. M. Smith

    Wiley 2009; US$ 479.00

    This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion... more...

  • Rational Decisionsby Ken Binmore

    Princeton University Press 2008; US$ 28.95

    It is widely held that Bayesian decision theory is the final word on how a rational person should make decisions. However, Leonard Savage--the inventor of Bayesian decision theory--argued that it would be ridiculous to use his theory outside the kind of small world in which it is always possible to "look before you leap." If taken seriously, this... more...

  • 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...

  • Introduction to Bayesian Statisticsby William M. Bolstad

    Wiley 2013; US$ 155.00

    Praise for the First Edition "I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to introduce Bayesian statistics." — Statistics in Medical Research "[This book] is written in a lucid conversational style, which is so rare in mathematical writings. It does an excellent... 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...

  • 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 Methods for Measures of Agreementby Lyle D. Broemeling

    Taylor and Francis 2009; US$ 104.95

    Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process. The author employs a Bayesian approach to provide statistical inferences... more...

  • Vorgehensmodelle: Eine Entwicklung basierend auf praxisnahen Methoden und Modellenby Sabrina Brück

    Diplomica Verlag 2012; US$ 39.48

    Hauptbeschreibung In den letzten Jahren hat die Bedeutung von Technologien zur Unterstützung von unternehmerischen Entscheidungen sehr stark zugenommen. Viele Unternehmen nutzen Modelle, die die Organisation analysieren und Schwachstellen erkennen können, um stets aktuell und wettbewerbsfähig zu bleiben. Diese Modelle sind meist speziell auf das... more...