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Bayesian Statistics and New Generations

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Cover of 'Bayesian Statistics and New Generations'

Table of Contents

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    Book Overview
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    Chapter 1 A Polya Tree Based Model for Unmarked Individuals in an Open Wildlife Population
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    Chapter 2 Bias Estimation and Correction Using Bootstrap Simulation of the Linking Process
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    Chapter 3 Non-parametric Overlapping Community Detection
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    Chapter 4 Posterior Consistency in the Binomial Model with Unknown Parameters: A Numerical Study
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    Chapter 5 Learning in the Absence of Training Data—A Galactic Application
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    Chapter 6 Multiplicative Latent Force Models
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    Chapter 7 particleMDI: A Julia Package for the Integrative Cluster Analysis of Multiple Datasets
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    Chapter 8 Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage
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    Chapter 9 Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models
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    Chapter 10 Comparison Between Suitable Priors for Additive Bayesian Networks
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    Chapter 11 A Bayesian Nonparametric Model for Integrative Clustering of Omics Data
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    Chapter 12 Bayesian Inference of Interaction Effects in Item-Level Hierarchical Twin Data
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    Chapter 13 A Phase II Clinical Trial Design for Associated Co-primary Efficacy and Toxicity Outcomes with Baseline Covariates
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    Chapter 14 A Conditional Autoregressive Model for Estimating Slow and Fast Diffusion from Magnetic Resonance Images
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    Chapter 15 Simulation Study of HIV Temporal Patterns Using Bayesian Methodology
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    Chapter 16 Modelling with Non-stratified Chain Event Graphs
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    Chapter 17 Modelling Career Trajectories of Cricket Players Using Gaussian Processes
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    Chapter 18 Ice Cores and Emulation: Learning More About Past Ice Sheet Shapes
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Title
Bayesian Statistics and New Generations
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-30611-3
ISBNs
978-3-03-030610-6, 978-3-03-030611-3
Editors

Raffaele Argiento, Daniele Durante, Sara Wade

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