Part I Theory and Methods. -- 1 Bayesian Survival Model Based on Moment Characterization. -- 2 A New Finite Approximation for the NGG Mixture
Model: An Application to Density Estimation. -- 3 Distributed Estimation of Mixture Models. -- 4 Jeffreys’ Priors for Mixture Estimation. -- 5 A Subordinated Stochastic Process Model. -- 6 Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior. -- 7 Application of Interweaving in DLMs to an Exchange and Specialization Experiment. -- 8 On Bayesian Based Adaptive Confidence Sets for Linear Functionals. -- Part II Applications and Case Studies. -- 9 Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check. -- 10 A New Strategy for Testing Cosmology with Simulations. -- 11 Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate. -- 12 Bayesian Estimation of the Aortic Stiffness based on Non-invasive Computed Tomography Images. -- 13 Bayesian Filtering for Thermal Conductivity Estimation Given Temperature Observations. -- 14 A Mixture Model for Filtering Firms’ Profit Rates.

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.

El Segundo Encuentro de Jóvenes Estadísticos Bayesianos (BAYSM 2014) y la investigación presentada aquí facilitan las conexiones entre los investigadores que utilizan la Estadística Bayesiana al proporcionar un foro para el desarrollo y el intercambio de ideas. La Universidad de Economía y Negocios de Viena WU organizó BAYSM 2014 del 18 al 19 de septiembre. La orientación de renombrados conferenciantes plenarios y comentaristas de alto nivel es una parte fundamental de la reunión y de este volumen, que sigue a la publicación de las contribuciones de BAYSM 2013. El programa científico de la reunión reflejó la variedad de campos en los que los métodos bayesianos se emplean actualmente o podrían introducirse en el futuro. Tres brillantes conferencias magistrales impartidas por Chris Holmes (Universidad de Oxford), Christian Robert (Université Paris-Dauphine) y Mike West (Universidad de Duke) se complementaron con 24 charlas plenarias que abarcaron los principales temas: modelos dinámicos, aplicaciones, no paramétricos bayesianos, bioestadística, Métodos bayesianos en economía y Modelos y métodos, así como una animada sesión de carteles con 30 contribuciones. Para este libro se han extraído contribuciones seleccionadas de la conferencia. Todas las contribuciones de este volumen están revisadas por pares y comparten investigaciones originales sobre computación, aplicación y teoría bayesiana.