Bayesian Statistics from Methods to Models and Applications: Research from BAYSM 2014

✍ Scribed by Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 175
• Series: Springer Proceedings in Mathematics & Statistics 126
• Edition: 2015
• Category: Library

✦ Synopsis

Original contributions from BAYSM 2014 researchers cover recent developments in Bayesian statistics
Includes academic as well as industrial research and applications of Bayesian statistics
Incorporates input from renowned plenary lecturers and senior discussants

The Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilitate connections among researchers using Bayesian Statistics by providing a forum for the development and exchange of ideas. WU Vienna University of Business and Economics hosted BAYSM 2014 from September 18th to the 19th. The guidance of renowned plenary lecturers and senior discussants is a critical part of the meeting and this volume, which follows publication of contributions from BAYSM 2013. The meeting's scientific program reflected the variety of fields in which Bayesian methods are currently employed or could be introduced in the future. Three brilliant keynote lectures by Chris Holmes (University of Oxford), Christian Robert (Université Paris-Dauphine), and Mike West (Duke University), were complemented by 24 plenary talks covering the major topics Dynamic Models, Applications, Bayesian Nonparametrics, Biostatistics, Bayesian Methods in Economics, and Models and Methods, as well as a lively poster session with 30 contributions. Selected contributions have been drawn from the conference for this book. All contributions in this volume are peer-reviewed and share original research in Bayesian computation, application, and theory.

✦ Table of Contents

Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Bayesian Survival Model Based on Moment Characterization....Pages 3-14
A New Finite Approximation for the NGG Mixture Model: An Application to Density Estimation....Pages 15-26
Distributed Estimation of Mixture Models....Pages 27-36
Jeffreys’ Priors for Mixture Estimation....Pages 37-48
A Subordinated Stochastic Process Model....Pages 49-57
Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior....Pages 59-73
Application of Interweaving in DLMs to an Exchange and Specialization Experiment....Pages 75-90
On Bayesian Based Adaptive Confidence Sets for Linear Functionals....Pages 91-105
Front Matter....Pages 107-107
Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check....Pages 109-114
A New Strategy for Testing Cosmology with Simulations....Pages 115-124
Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate....Pages 125-132
Bayesian Estimation of the Aortic Stiffness based on Non-invasive Computed Tomography Images....Pages 133-142
Bayesian Filtering for Thermal Conductivity Estimation Given Temperature Observations....Pages 143-151
A Mixture Model for Filtering Firms’ Profit Rates....Pages 153-164
Back Matter....Pages 165-167

✦ Subjects

Statistical Theory and Methods; Statistics for Business/Economics/Mathematical Finance/Insurance; Statistics and Computing/Statistics Programs