Nonparametric Bayesian Inference in Biostatistics

Chapter 1 Bayesian Nonparametric Models

Chapter 2 Bayesian Nonparametric Biostatistics

Chapter 3 Bayesian Shape Clustering

Chapter 4 Estimating Latent Cell Subpopulations with Bayesian Feature Allocation Models

Chapter 5 Species Sampling Priors for Modeling Dependence: An Application to the Detection of Chromosomal Aberrations

Chapter 6 Modeling the Association Between Clusters of SNPs and Disease Responses

Chapter 7 Bayesian Inference on Population Structure: From Parametric to Nonparametric Modeling

Chapter 8 Bayesian Approaches for Large Biological Networks

Chapter 9 Nonparametric Variable Selection, Clustering and Prediction for Large Biological Datasets

Chapter 10 Markov Processes in Survival Analysis

Chapter 11 Bayesian Spatial Survival Models

Chapter 12 Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data

Chapter 13 Neuronal Spike Train Analysis Using Gaussian Process Models

Chapter 14 Bayesian Analysis of Curves Shape Variation Through Registration and Regression

Chapter 15 Biomarker-Driven Adaptive Design

Chapter 16 Bayesian Nonparametric Approaches for ROC Curve Inference

Chapter 17 Spatial Bayesian Nonparametric Methods

Chapter 18 Spatial Species Sampling and Product Partition Models

Chapter 19 Spatial Boundary Detection for Areal Counts

Chapter 20 A Bayesian Nonparametric Causal Model for Regression Discontinuity Designs