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Case Studies in Applied Bayesian Data Science

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Cover of 'Case Studies in Applied Bayesian Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 A Survey of Bayesian Statistical Approaches for Big Data
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    Chapter 3 Bayesian Neural Networks: An Introduction and Survey
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    Chapter 4 Markov Chain Monte Carlo Algorithms for Bayesian Computation, a Survey and Some Generalisation
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    Chapter 5 Bayesian Variable Selection
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    Chapter 6 Bayesian Computation with Intractable Likelihoods
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    Chapter 7 A Bayesian Hierarchical Approach to Jointly Model Cortical Thickness and Covariance Networks
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    Chapter 8 Bayesian Spike Sorting: Parametric and Nonparametric Multivariate Gaussian Mixture Models
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    Chapter 9 Spatio-Temporal Analysis of Dengue Fever in Makassar Indonesia: A Comparison of Models Based on CARBayes
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    Chapter 10 A Comparison of Bayesian Spatial Models for Cancer Incidence at a Small Area Level: Theory and Performance
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    Chapter 11 An Ensemble Approach to Modelling the Combined Effect of Risk Factors on Age at Parkinson’s Disease Onset
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    Chapter 12 Workplace Health and Workplace Wellness: Synergistic or Disconnected?
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    Chapter 13 Bayesian Modelling to Assist Inference on Health Outcomes in Occupational Health Surveillance
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    Chapter 14 Bayesian Networks for Understanding Human-Wildlife Conflict in Conservation
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    Chapter 15 Bayesian Learning of Biodiversity Models Using Repeated Observations
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    Chapter 16 Thresholds of Coral Cover That Support Coral Reef Biodiversity
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    Chapter 17 Application of Bayesian Mixture Models to Satellite Images and Estimating the Risk of Fire-Ant Incursion in the Identified Geographical Cluster
Attention for Chapter 17: Application of Bayesian Mixture Models to Satellite Images and Estimating the Risk of Fire-Ant Incursion in the Identified Geographical Cluster
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Chapter title
Application of Bayesian Mixture Models to Satellite Images and Estimating the Risk of Fire-Ant Incursion in the Identified Geographical Cluster
Chapter number 17
Book title
Case Studies in Applied Bayesian Data Science
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-42553-1_17
Book ISBNs
978-3-03-042552-4, 978-3-03-042553-1
Authors

Insha Ullah, Kerrie L. Mengersen, Ullah, Insha, Mengersen, Kerrie L.

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