Interdisciplinary Bayesian Statistics

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EBEB 2014, Springer Proceedings in Mathematics & Statistics 118

ISBN: 3319124536
ISBN 13: 9783319124537
Herausgeber: Adriano Polpo/Francisco Louzada/Laura L R Rifo et al
Verlag: Springer Verlag GmbH
Umfang: xviii, 366 S., 22 s/w Illustr., 45 farbige Illustr., 366 p. 67 illus., 45 illus. in color.
Erscheinungsdatum: 23.03.2015
Auflage: 1/2015
Produktform: Gebunden/Hardback
Einband: Gebunden

Beschreibung

InhaltsangabeWhat About the Posterior Distributions When the Model is Non-dominated.- Bayesian Learning of Material Density Function by Multiple Sequential Inversions of 2-D Images in Electron Microscopy.- Problems with Constructing Tests to Accept the Null Hypothesis.- Cognitive-Constructivism, Quine, Dogmas of Empiricism, and Munchhausen's Trilemma.- A maximum entropy approach to learn Bayesian networks from incomplete data.- Bayesian Inference in Cumulative Distribution Fields.- MCMC-Driven Adaptive Multiple Importance Sampling.- Bayes Factors for comparison of restricted simple linear regression coefficients.- A Spanning Tree Hierarchical Model for Land Cover Classification.- Nonparametric Bayesian regression under combinations of local shape constraints.- A Bayesian Approach to Predicting Football Match Outcomes Considering Time Effect Weight.- Homogeneity tests for 22 contingency tables.- Combining Optimization and Randomization Approaches for the Design of Clinical Trials.- Factor analysis with mixture modeling to evaluate coherent patterns in microarray data.

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E-Mail: juergen.hartmann@springer.com

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