Nonparametric Bayesian Inference in Biostatistics - Softcover
Buch 3 von 6: Frontiers in Probability and the Statistical Sciences
Inhaltsangabe
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.
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