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 biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks.
Author(s): Adriano Polpo, Francisco Louzada, Laura L. R. Rifo, Julio M. Stern, Marcelo Lauretto (eds.)
Series: Springer Proceedings in Mathematics & Statistics 118
Edition: 1
Publisher: Springer International Publishing
Year: 2015
Language: English
Pages: 366
Tags: Statistical Theory and Methods; Statistics for Life Sciences, Medicine, Health Sciences; Statistics, general
Front Matter....Pages i-xviii
What About the Posterior Distributions When the Model is Non-dominated?....Pages 1-11
Predictive Inference Under Exchangeability, and the Imprecise Dirichlet Multinomial Model....Pages 13-33
Bayesian Learning of Material Density Function by Multiple Sequential Inversions of 2-D Images in Electron Microscopy....Pages 35-48
Problems with Constructing Tests to Accept the Null Hypothesis....Pages 49-54
Cognitive-Constructivism, Quine, Dogmas of Empiricism, and Münchhausen’s Trilemma....Pages 55-68
A Maximum Entropy Approach to Learn Bayesian Networks from Incomplete Data....Pages 69-82
Bayesian Inference in Cumulative Distribution Fields....Pages 83-95
MCMC-Driven Adaptive Multiple Importance Sampling....Pages 97-109
Bayes Factors for Comparison of Restricted Simple Linear Regression Coefficients....Pages 111-123
A Spanning Tree Hierarchical Model for Land Cover Classification....Pages 125-134
Nonparametric Bayesian Regression Under Combinations of Local Shape Constraints....Pages 135-147
A Bayesian Approach to Predicting Football Match Outcomes Considering Time Effect Weight....Pages 149-162
Homogeneity Tests for 2×2 Contingency Tables....Pages 163-171
Combining Optimization and Randomization Approaches for the Design of Clinical Trials....Pages 173-184
Factor Analysis with Mixture Modeling to Evaluate Coherent Patterns in Microarray Data....Pages 185-195
Bayesian Hypothesis Testing in Finite Populations: Bernoulli Multivariate Variables....Pages 197-205
Bayesian Ridge-Regularized Covariance Selection with Community Behavior in Latent Gaussian Graphical Models....Pages 207-216
Bayesian Inference of Deterministic Population Growth Models....Pages 217-228
A Weibull Mixture Model for the Votes of a Brazilian Political Party....Pages 229-241
An Alternative Operational Risk Methodology for Regulatory Capital Calculation....Pages 243-252
Bayesian Approach of the Exponential Poisson Logarithmic Model....Pages 253-262
Bayesian Estimation of Birnbaum–Saunders Log-Linear Model....Pages 263-273
Bayesian Weighted Information Measures....Pages 275-289
Classifying the Origin of Archeological Fragments with Bayesian Networks....Pages 291-300
A Note on Bayesian Inference for Long-Range Dependence of a Stationary Two-State Process....Pages 301-310
Bayesian Partition for Variable Selection in the Power Series Cure Rate Model....Pages 311-321
Bayesian Semiparametric Symmetric Models for Binary Data....Pages 323-335
Assessing a Spatial Boost Model for Quantitative Trait GWAS....Pages 337-346
The Exponential-Poisson Regression Model for Recurrent Events: A Bayesian Approach....Pages 347-356
Conditional Predictive Inference for Beta Regression Model with Autoregressive Errors....Pages 357-366
