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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$ 32.81

    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$ 49.63

    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...

  • Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectivesby Andrew Gelman; Xiao-Li Meng

    Wiley 2004; US$ 145.00

    This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated... more...

  • Bayesian Models for Categorical Databy Peter Congdon

    Wiley 2005; US$ 137.00

    The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing... more...

  • Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientistsby Howard B. Stauffer

    Wiley 2007; US$ 149.00

    The first all-inclusive introduction to modern statistical research methods in the natural resource sciences The use of Bayesian statistical analysis has become increasingly important to natural resource scientists as a practical tool for solving various research problems. However, many important contemporary methods of applied statistics, such as... 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...

  • Bayesian Modeling Using WinBUGSby Ioannis Ntzoufras

    Wiley 2011; US$ 161.00

    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... more...

  • Subjective and Objective Bayesian Statisticsby S. James Press

    Wiley 2009; US$ 182.00

    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... 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...

  • Understanding Computational Bayesian Statisticsby William M. Bolstad

    Wiley 2011; US$ 147.00

    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...