Interdisciplinary Bayesian Statistics EBEB 2014 /

Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in biostati...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Polpo, Adriano (Editor), Louzada, Francisco (Editor), Rifo, Laura L. R. (Editor), Stern, Julio M. (Editor), Lauretto, Marcelo (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Series:Springer Proceedings in Mathematics & Statistics, 118
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • What 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.