| EAN: | 9783030306137 |
|---|---|
| Auflage: | 001 |
| Sachgruppe: | Mathematik |
| Sprache: | Englisch |
| Seitenzahl: | 196 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Argiento, Raffaele Durante, Daniele Wade, Sara |
| Veröffentlichungsdatum: | 22.11.2020 |
| Untertitel: | BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions |
| Schlagworte: | Bayesianmodeling; DataScience; BayesianComputation; MethodologicalandAppliedStatistics; Neurosciences,astrostatistics,climatechange; BayesianInference; Proceedings; Inferencefromstochasticprocesses; Applications; Computationalproblemsinstatistics; Multivariateanalysis; Youngresearchers; Parametricinference; Nonparametricinference Computermodellierung und -simulation Mathematische und statistische Software |
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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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