03842nam 22006375 450 991076819500332120250602120638.09783031424137303142413110.1007/978-3-031-42413-7(MiAaPQ)EBC30979441(Au-PeEL)EBL30979441(CKB)29127000000041(OCoLC)1414468451(DE-He213)978-3-031-42413-7(EXLCZ)992912700000004120231129d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBayesian Statistics, New Generations New Approaches BAYSM 2022, Montréal, Canada, June 22–23 /edited by Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (119 pages)Springer Proceedings in Mathematics & Statistics,2194-1017 ;435Print version: Avalos-Pacheco, Alejandra Bayesian Statistics, New Generations New Approaches Cham : Springer International Publishing AG,c2024 9783031424120 J. Owen, I. Vernon, J. Carter, Bayesian Emulation of Complex Computer Models with Structured Partial Discontinuities -- B. Hansen, A. Avalos-Pacheco, M. Russo, Roberta De Vito, A Variational Bayes Approach to Factor Analysis. P. Strong, Jim Q. Smith, Scalable Model Selection for Staged Trees: Mean-posterior Clustering and Binary Trees -- G. Vasdekis, Gareth O. Roberts, Speeding up the Zig-Zag process -- V. Ghidini, S. Legramanti, R. Argiento, Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks -- A. Lachi, C. Viscardi, M. Baccini, Approximate Bayesian inference for smoking habit dynamics in Tuscany.This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on June 22–23, titled "Bayesian Statistics, New Generations New Approaches". This collection features selected peer-reviewed contributions that showcase the vibrant and diverse research presented at meeting. This book is intended for a broad audience interested in statistics and aims at providing stimulating contributions to theoretical, methodological, and computational aspects of Bayesian statistics. The contributions highlight various topics in Bayesian statistics, presenting promising methodological approaches to address critical challenges across diverse applications. This compilation stands as a testament to the talent and potential within the j-ISBA community. This book is meant to serve as a catalyst for continued advancements in Bayesian methodology and its applications and encourages fruitful collaborations that push the boundaries ofstatistical research.Springer Proceedings in Mathematics & Statistics,2194-1017 ;435StatisticsStatisticsStatistical Theory and MethodsBayesian NetworkBayesian InferenceEstadística bayesianathubCongressosthubLlibres electrònicsthubStatistics.Statistics.Statistical Theory and Methods.Bayesian Network.Bayesian Inference.Estadística bayesiana519.542Avalos-Pacheco Alejandra1453488De Vito Roberta1453489Maire Florian1453490MiAaPQMiAaPQMiAaPQBOOK9910768195003321Bayesian Statistics, New Generations New Approaches3656135UNINA