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Interdisciplinary Bayesian Statistics

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Cover of 'Interdisciplinary Bayesian Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 What About the Posterior Distributions When the Model is Non-dominated?
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    Chapter 2 Predictive Inference Under Exchangeability, and the Imprecise Dirichlet Multinomial Model
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    Chapter 3 Bayesian Learning of Material Density Function by Multiple Sequential Inversions of 2-D Images in Electron Microscopy
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    Chapter 4 Problems with Constructing Tests to Accept the Null Hypothesis
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    Chapter 5 Cognitive-Constructivism, Quine, Dogmas of Empiricism, and Münchhausen’s Trilemma
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    Chapter 6 A Maximum Entropy Approach to Learn Bayesian Networks from Incomplete Data
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    Chapter 7 Bayesian Inference in Cumulative Distribution Fields
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    Chapter 8 MCMC-Driven Adaptive Multiple Importance Sampling
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    Chapter 9 Bayes Factors for Comparison of Restricted Simple Linear Regression Coefficients
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    Chapter 10 A Spanning Tree Hierarchical Model for Land Cover Classification
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    Chapter 11 Nonparametric Bayesian Regression Under Combinations of Local Shape Constraints
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    Chapter 12 A Bayesian Approach to Predicting Football Match Outcomes Considering Time Effect Weight
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    Chapter 13 Homogeneity Tests for 2×2 Contingency Tables
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    Chapter 14 Combining Optimization and Randomization Approaches for the Design of Clinical Trials
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    Chapter 15 Factor Analysis with Mixture Modeling to Evaluate Coherent Patterns in Microarray Data
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    Chapter 16 Bayesian Hypothesis Testing in Finite Populations: Bernoulli Multivariate Variables
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    Chapter 17 Bayesian Ridge-Regularized Covariance Selection with Community Behavior in Latent Gaussian Graphical Models
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    Chapter 18 Bayesian Inference of Deterministic Population Growth Models
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    Chapter 19 A Weibull Mixture Model for the Votes of a Brazilian Political Party
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    Chapter 20 An Alternative Operational Risk Methodology for Regulatory Capital Calculation
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    Chapter 21 Bayesian Approach of the Exponential Poisson Logarithmic Model
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    Chapter 22 Bayesian Estimation of Birnbaum–Saunders Log-Linear Model
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    Chapter 23 Bayesian Weighted Information Measures
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    Chapter 24 Classifying the Origin of Archeological Fragments with Bayesian Networks
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    Chapter 25 A Note on Bayesian Inference for Long-Range Dependence of a Stationary Two-State Process
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    Chapter 26 Bayesian Partition for Variable Selection in the Power Series Cure Rate Model
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    Chapter 27 Bayesian Semiparametric Symmetric Models for Binary Data
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    Chapter 28 Assessing a Spatial Boost Model for Quantitative Trait GWAS
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    Chapter 29 The Exponential-Poisson Regression Model for Recurrent Events: A Bayesian Approach
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    Chapter 30 Conditional Predictive Inference for Beta Regression Model with Autoregressive Errors
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Title
Interdisciplinary Bayesian Statistics
Published by
Springer International Publishing, February 2015
DOI 10.1007/978-3-319-12454-4
ISBNs
978-3-31-912453-7, 978-3-31-912454-4
Editors

Polpo, Adriano, Louzada, Francisco, Rifo, Laura L. R., Stern, Julio M., Lauretto, Marcelo

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Brazil 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 4 13%
Student > Doctoral Student 3 10%
Professor 3 10%
Lecturer 2 7%
Other 7 23%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 6 20%
Mathematics 4 13%
Social Sciences 3 10%
Agricultural and Biological Sciences 3 10%
Economics, Econometrics and Finance 2 7%
Other 7 23%
Unknown 5 17%