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文献信息
Bayesian Analysis is an electronic journal of the International Society for Bayesian Analysis. It seeks to publish a wide range of articles that demonstrate or discuss Bayesian methods in some theoretical or applied context. The journal welcomes submissions involving presentation of new computational and statistical methods; critical reviews and discussions of existing approaches; historical perspectives; description of important scientific or policy application areas; case studies; and methods for experimental design, data collection, data sharing, or data mining. Evaluation of submissions is based on importance of content and effectiveness of communication. Discussion papers are typically chosen by the Editor in Chief, or suggested by an Editor, among the regular submissions. In addition, the Journal encourages individual authors to submit manuscripts for consideration as discussion papers.
Markov Chain Monte CarloBayesian InferenceBayesian AnalysisVariable SelectionDirichlet ProcessModel SelectionBayesian NonparametricBayesian Variable SelectionBayesian Model SelectionBayesian Nonparametric InferenceBayes FactorBayes FactorsApproximate Bayesian ComputationInternational SocietyMarginal LikelihoodBayesian ModelDirichlet Process MixtureGibbs SamplerBayesian FrameworkBayesian Statistics
vol.20 (2025)
vol.19 (2024)
vol.18 (2023)
vol.17 (2022)
vol.16 (2021)
vol.15 (2020)
vol.14 (2019)
vol.13 (2018)
vol.12 (2017)
vol.11 (2016)
vol.10 (2015)
vol.9 (2014)
vol.8 (2013)
vol.7 (2012)
vol.6 (2011)
vol.5 (2010)
vol.4 (2009)
vol.3 (2008)
vol.2 (2007)
vol.1 (2006)
Picchini, UmbertoTamborrino, Massimiliano