02345nam0 22004813i 450 VAN0027796520240806101549.587N978303116427920240613d2022 |0itac50 baengCH|||| |||||New Frontiers in Bayesian StatisticsBAYSM 2021, Online, September 1–3Raffaele Argiento, Federico Camerlenghi, Sally Paganin editorsChamSpringer2022xi, 117 p.ill.24 cm001VAN001025742001 Springer proceedings in mathematics & statistics210 Berlin [etc.]Springer2012-40500B25Proceedings of conferences of miscellaneous specific interest [MSC 2020]VANC020732MF62-XXStatistics [MSC 2020]VANC022998MF62C10Bayesian problems; characterization of Bayes procedures [MSC 2020]VANC028328MF62C12Empirical decision procedures; empirical Bayes procedures [MSC 2020]VANC026448MF62F15Bayesian inference [MSC 2020]VANC024528MF62P10Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]VANC024649MFBayesian StatisticsKW:KBayesian nonparametricsKW:KMarkov chainKW:KMixture modelsKW:KMonte Carlo algorithmsKW:KStructural LearningKW:KSurvival analysisKW:KCHChamVANL001889ArgientoRaffaeleVANV094889CamerlenghiFedericoVANV230501PaganinSallyVANV230502Bayesian Young Statisticians Meeting5.2021VANV230503Springer <editore>VANV108073650ITSOL20241115RICAhttps://doi.org/10.1007/978-3-031-16427-9E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00277965BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-Book 8832 08eMF8832 20240618 New frontiers in Bayesian Statistics3088801UNICAMPANIA