Part I Introduction
Bayesian Nonparametric Models
Bayesian Nonparametric Biostatistics
Part II Genomics and Proteomics
Bayesian Shape Clustering
Estimating Latent Cell Subpopulations with Bayesian Feature Allocation Models
Species Sampling Priors for Modeling Dependence: An Application to the Detection of Chromosomal Aberrations
Modeling the Association Between Clusters of SNPs and Disease Responses
Bayesian Inference on Population Structure: from Parametric to Nonparametric Modeling
Bayesian Approaches for Large Biological Networks
Nonparametric Variable Selection, Clustering and Prediction for Large Biological Datasets
Part III Survival Analysis
Markov Processes in Survival Analysis
Bayesian Spatial Survival Models
Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data
Part IV Random Functions and Response Surfaces
Neuronal Spike Train Analysis Using Gaussian Process Models
Bayesian Analysis of Curves Shape Variation through Registration and Regression
Biomarker-Driven Adaptive Design
Bayesian Nonparametric Approaches for ROC Curve Inference
Part V Spatial Data
Spatial Bayesian Nonparametric Methods
Spatial Species Sampling and Product Partition Models
Spatial Boundary Detection for Areal Counts
A Bayesian Nonparametric Causal Model for Regression Discontinuity Designs
Bayesian Nonparametrics for Missing Data in Longitudinal Clinical Trials.