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Titlebook: Bayesian Statistics and New Generations; BAYSM 2018, Warwick, Raffaele Argiento,Daniele Durante,Sara Wade Conference proceedings 2019 Sprin

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期刊全称Bayesian Statistics and New Generations
期刊简称BAYSM 2018, Warwick,
影响因子2023Raffaele Argiento,Daniele Durante,Sara Wade
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发行地址Highlights novel methodological and computational contributions on Bayesian statistics.Presents successful applications of Bayesian statistics in neuroscience, astrostatistics and climate change.Provi
学科分类Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Bayesian Statistics and New Generations; BAYSM 2018, Warwick, Raffaele Argiento,Daniele Durante,Sara Wade Conference proceedings 2019 Sprin
影响因子.This book presents a selection of peer-reviewed contributions to the fourth Bayesian Young Statisticians Meeting, BAYSM 2018, held at the University of Warwick on 2-3 July 2018. The meeting provided a valuable opportunity for young researchers, MSc students, PhD students, and postdocs interested in Bayesian statistics to connect with the broader Bayesian community. The proceedings offer cutting-edge papers on a wide range of topics in Bayesian statistics, identify important challenges and investigate promising methodological approaches, while also assessing current methods and stimulating applications. The book is intended for a broad audience of statisticians, and demonstrates how theoretical, methodological, and computational aspects are often combined in the Bayesian framework to successfully tackle complex problems..
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Multiplicative Latent Force Modelsthe flexibility to handle those situations in which data is sparse relative to model complexity, or a full specification is hard to motivate. Latent force models achieve this dual aim by specifying a parsimonious linear evolution equation with an additive latent Gaussian process (GP) forcing term. I
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