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Cover Art
Author Bayesian Young Statisticians Meeting (3rd : 2016 : Florence, Italy)

Title Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21 / Raffaele Argiento, Ettore Lanzarone, Isadora Antoniano Villalobos, Alessandra Mattei, editors.

Published Cham, Switzerland : Springer, 2017.


Location Call No. Status
Physical description 1 online resource (ix, 251 pages) : illustrations (some color).
Series Springer proceedings in mathematics & statistics, 2194-1009 ; volume 194
Springer proceedings in mathematics & statistics ; v. 194.
Springer Mathematics and Statistics eBooks 2017 English+International
Contents Preface; Contents; Part I Theory and Methods; Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data; 1 Introduction; 2 Bayesian Random Intercept Model; 3 Sequential Monte Carlo Methods; 4 Application; 5 Conclusions; References; On the Truncation Error of a Superposed Gamma Process; 1 Introduction; 2 Sampling Completely Random Measures; 2.1 Completely Random Measures; 2.2 Ferguson and Klass Algorithm; 3 Truncation Error of the Superposed Gamma Process; 3.1 Bound in Probability; 3.2 Moment-Matching Criterion; References.
On the Study of Two Models for Integer-Valued High-Frequency Data1 Introduction; 2 Distributions for Tick Data; 2.1 Skellam Distribution; 2.2 Folded Geometric Distribution; 3 Algorithms; 4 Application; 5 Discussion; References; Identification and Estimation of Principal Causal Effects in Randomized Experiments with Treatment Switching; 1 Introduction; 2 Principal Stratification Approach to Treatment Switching; 3 Identification Assumptions; 4 Partially Simulated Case Study; 4.1 Estimation Strategy; 4.2 Results and Comments; References; A Bayesian Joint Dispersion Model with Flexible Links.
1 Introduction2 Model Specification; 2.1 Longitudinal Mixed Dispersion Model; 2.2 Hazard Model with Time-Varying Coefficients; 3 The Posterior Distribution; 4 HIV/AIDS Data Analysis; 4.1 Fitted Models; 4.2 Results; 5 Discussion; References; Local Posterior Concentration Rate for Multilevel Sparse Sequences; 1 Introduction; 2 Preliminaries; 2.1 Notation; 2.2 Empirical Bayes Posterior; 3 Main Results; References; Likelihood Tempering in Dynamic Model Averaging; 1 Introduction; 2 On-Line Prediction with a Set of Admissible Models; 2.1 Dynamic Model Averaging; 3 Tempered Bayesian Update.
4 Mixture-Based Approach5 Simulation Results; 6 Conclusion; References; Localization in High-Dimensional Monte Carlo Filtering; 1 Introduction; 2 Ensemble Filtering Algorithms; 3 Local Algorithms; 4 Simulation Studies; 4.1 Conjugate Normal Setup; 4.2 Filtering with the Lorenz96 Model; 5 Conclusion; References; Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference; 1 Introduction; 2 Mathematical Method; 2.1 Bayesian Hierarchical Model; 3 Experiments; 3.1 Toy Example; 3.2 Realistic Example; 4 Conclusion; References; Part II Applications and Case Studies.
Bayesian Hierarchical Model for Assessment of Climate Model Biases1 Introduction; 2 Bayesian Hierarchical Approach for Climate Model Biases; 3 Application to Temperature Bias in the Tropical Atlantic Region; 3.1 Choice of Weighting Functions; 3.2 Results; 4 Conclusions; References; An Application of Bayesian Seemingly Unrelated Regression Models with Flexible Tails; 1 Introduction; 2 Bayesian SUR Model with Mod-t Distribution; 2.1 Mod-t Distribution; 2.2 SUR Model; 2.3 MCMC Algorithm; 3 Application; 3.1 Capital Asset Pricing Model (CAPM); 3.2 Results; 4 Conclusion; References.
Summary 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).
Other author Argiento, Raffaele, editor.
Lanzarone, Ettore, editor.
Villalobos, Isadora Antoniano, editor.
Mattei, Alessandra, editor.
SpringerLink issuing body.
Subject Bayesian statistical decision theory -- Congresses.
Neural networks (Computer science) -- Congresses.
Electronic books.
Conference papers and proceedings.
Variant Title BAYSM 2016
ISBN 9783319540849 (electronic bk.)
331954084X (electronic bk.)
9783319540832 (print)
Standard Number 10.1007/978-3-319-54084-9