Bayesian Statistics from Methods to Models and Applications

Chapter 1 Bayesian Survival Model Based on Moment Characterization

Chapter 2 A New Finite Approximation for the NGG Mixture Model: An Application to Density Estimation

Chapter 3 Distributed Estimation of Mixture Models

Chapter 4 Jeffreys’ Priors for Mixture Estimation

Chapter 5 A Subordinated Stochastic Process Model

Chapter 6 Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior

Chapter 7 Application of Interweaving in DLMs to an Exchange and Specialization Experiment

Chapter 8 On Bayesian Based Adaptive Confidence Sets for Linear Functionals

Chapter 9 Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check

Chapter 10 A New Strategy for Testing Cosmology with Simulations

Chapter 11 Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate

Chapter 13 Bayesian Filtering for Thermal Conductivity Estimation Given Temperature Observations

Chapter 14 A Mixture Model for Filtering Firms’ Profit Rates