000			01884nam a22003375i 4500
001			91314
005			20231026104026.0
010			_a978-3-031-16427-9 _dcompra
090			_a91314
100			_a20231023d2022 k||y0pory50 ba
101	0		_aeng
102			_aCH
200	1		_aNew frontiers in bayesian statistics _bDocumento eletrónico _ebaysm 2021, online, september 1-3 _fedited by Raffaele Argiento, Federico Camerlenghi, Sally Paganin
210			_aCham _cSpringer International Publishing _cSpringer _d2022
215			_aXI, 117 p. _cil.
225	2		_aSpringer Proceedings in Mathematics & Statistics _v405
303			_aThis book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2021, held virtually due to the COVID-19 pandemic on 1-3 September 2021. Despite all the challenges of an online conference, the meeting provided a valuable opportunity for early career researchers, including MSc students, PhD students, and postdocs to connect with the broader Bayesian community. The proceedings highlight many different topics in Bayesian statistics, presenting promising methodological approaches to address important challenges in a variety of applications. The book is intended for a broad audience of people interested in statistics, and provides a series of stimulating contributions on theoretical, methodological, and computational aspects of Bayesian statistics.
606			_aMathematical statistics
606			_aStochastic processes
606			_aStochastic models
606			_aStochastic analysis
606			_aMarkov processes
680			_aQA276-280
702	1		_aArgiento _bRaffaele _4340
702	1		_aCamerlenghi _bFederico _4340
702	1		_aPaganin _bSally _4340
801		0	_aPT _gRPC
856	4		_uhttps://doi.org/10.1007/978-3-031-16427-9
942			_2lcc _cF _n0