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Bayesian Statistics and New Generations

BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions

Raffaele Argiento (Hrsg.), Daniele Durante (Hrsg.), Sara Wade (Hrsg.)

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

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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Schlagwörter

Parametric inference, Proceedings, Computational problems in statistics, Bayesian inference, Young researchers, Data Science, Bayesian Modeling, Methodological and Applied Statistics, Bayesian Computation, Neurosciences, astrostatistics, climate change, Multivariate analysis, Nonparametric inference, Inference from stochastic processes, Applications