Bayesian Statistics in Action: BAYSM 2016, Florence, Italy, June 19-21 (Springer Proceedings in Mathematics & Statistics Book 194)

This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian statistics to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field. The contributions develop and apply Bayesian methods in a variety of fields, ranging from the traditional (e.g., biostatistics and reliability) to the most innovative ones (e.g., big data and networks). Front Matter....Pages i-ix Front Matter....Pages 1-1 Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data....Pages 3-9 On the Truncation Error of a Superposed Gamma Process....Pages 11-19 On the Study of Two Models for Integer-Valued High-Frequency Data....Pages 21-30 Identification and Estimation of Principal Causal Effects in Randomized Experiments with Treatment Switching....Pages 31-37 A Bayesian Joint Dispersion Model with Flexible Links....Pages 39-49 Local Posterior Concentration Rate for Multilevel Sparse Sequences....Pages 51-66 Likelihood Tempering in Dynamic Model Averaging....Pages 67-77 Localization in High-Dimensional Monte Carlo Filtering....Pages 79-89 Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference....Pages 91-101 Front Matter....Pages 103-103 Bayesian Hierarchical Model for Assessment of Climate Model Biases....Pages 105-113 An Application of Bayesian Seemingly Unrelated Regression Models with Flexible Tails....Pages 115-125 Bayesian Inference of Stochastic Pursuit Models from Basketball Tracking Data....Pages 127-137 Identification of Patient-Specific Parameters in a Kinetic Model of Fluid and Mass Transfer During Dialysis....Pages 139-149 A Bayesian Nonparametric Approach to Ecological Risk Assessment....Pages 151-159 Approximate Bayesian Computation Methods in the Identification of Atmospheric Contamination Sources for DAPPLE Experiment....Pages 161-171 Bayesian Survival Analysis to Model Plant Resistance and Tolerance to Virus Diseases....Pages 173-181 Randomization Inference and Bayesian Inference in Regression Discontinuity Designs: An Application to Italian University Grants....Pages 183-191 Bayesian Methods for Microsimulation Models....Pages 193-202 A Bayesian Model for Describing and Predicting the Stochastic Demand of Emergency Calls....Pages 203-212 Flexible Parallel Split-Merge MCMC for the HDP....Pages 213-221 Front Matter....Pages 103-103 Bayesian Inference for Continuous Time Animal Movement Based on Steps and Turns....Pages 223-230 Explaining the Lethality of Boko Haram’s Terrorist Attacks in Nigeria, 2009–2014: A Hierarchical Bayesian Approach....Pages 231-239 Optimizing Movement of Cooperating Pedestrians by Exploiting Floor-Field Model and Markov Decision Process....Pages 241-251 This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph. D. students, and postdocs dealing with Bayesian statistics to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field. The contributions develop and apply Bayesian methods in a variety of fields, ranging from the traditional (e.g., biostatistics and reliability) to the most innovative ones (e.g., big data and networks)