Case Studies in Applied Bayesian Data Science

Chapter 1 Introduction

Chapter 3 Bayesian Neural Networks: An Introduction and Survey

Chapter 4 Markov Chain Monte Carlo Algorithms for Bayesian Computation, a Survey and Some Generalisation

Chapter 5 Bayesian Variable Selection

Chapter 6 Bayesian Computation with Intractable Likelihoods

Chapter 7 A Bayesian Hierarchical Approach to Jointly Model Cortical Thickness and Covariance Networks

Chapter 8 Bayesian Spike Sorting: Parametric and Nonparametric Multivariate Gaussian Mixture Models

Chapter 9 Spatio-Temporal Analysis of Dengue Fever in Makassar Indonesia: A Comparison of Models Based on CARBayes

Chapter 10 A Comparison of Bayesian Spatial Models for Cancer Incidence at a Small Area Level: Theory and Performance

Chapter 11 An Ensemble Approach to Modelling the Combined Effect of Risk Factors on Age at Parkinson’s Disease Onset

Chapter 12 Workplace Health and Workplace Wellness: Synergistic or Disconnected?

Chapter 13 Bayesian Modelling to Assist Inference on Health Outcomes in Occupational Health Surveillance

Chapter 14 Bayesian Networks for Understanding Human-Wildlife Conflict in Conservation

Chapter 15 Bayesian Learning of Biodiversity Models Using Repeated Observations

Chapter 16 Thresholds of Coral Cover That Support Coral Reef Biodiversity

Chapter 17 Application of Bayesian Mixture Models to Satellite Images and Estimating the Risk of Fire-Ant Incursion in the Identified Geographical Cluster