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Bayesian statistical decision theory

Most popular at the top

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

    Diplomica Verlag 2012; US$ 31.81

    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...

  • Die Zweistufentheorie.by Birga Tanneberg

    Duncker & Humblot 2011; US$ 47.29

    Hauptbeschreibung In der Arbeit "Die Zweistufentheorie" geht Birga Tanneberg der Frage nach, ob die von Ipsen entwickelte Theorie auch heute noch Anwendung finden kann und soll. Ausgehend vom Subventionsrecht werden der Schutz des Vertragspartners vor ungünstigen Leistungsbedingungen und die Möglichkeit der vollständigen Rückabwicklung des Vertrags... 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...

  • 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...

  • 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...

  • 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...

  • 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...