東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Bayesian statistical decision theory" ]

切換: 標籤 | MARC模式 | ISBD

Bayesian statistics, new generations...

Bayesian Young Statisticians Meeting (2022 :)

FindBook

Google Book

Amazon

博客來

Bayesian statistics, new generations new approaches = BAYSM 2022, Montreal, Canada, June 22-23 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bayesian statistics, new generations new approaches/ edited by Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire.
其他題名:	BAYSM 2022, Montreal, Canada, June 22-23 /
其他題名:	BAYSM 2022
其他作者:	Avalos-Pacheco, Alejandra.
團體作者:	Bayesian Young Statisticians Meeting
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	viii, 115 p. :illustrations (some col.), digital ;24 cm.
內容註:	J. Owen, I. Vernon, J. Carter, Bayesian Emulation of Complex Computer Models with Structured Partial Discontinuities -- B. Hansen, A. Avalos-Pacheco, M. Russo, Roberta De Vito, A Variational Bayes Approach to Factor Analysis. P. Strong, Jim Q. Smith, Scalable Model Selection for Staged Trees: Mean-posterior Clustering and Binary Trees -- G. Vasdekis, Gareth O. Roberts, Speeding up the Zig-Zag process -- V. Ghidini, S. Legramanti, R. Argiento, Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks -- A. Lachi, C. Viscardi, M. Baccini, Approximate Bayesian inference for smoking habit dynamics in Tuscany.
Contained By:	Springer Nature eBook
標題:	Bayesian statistical decision theory - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-42413-7
ISBN:	9783031424137

Bayesian statistics, new generations new approaches = BAYSM 2022, Montreal, Canada, June 22-23 /
Bayesian statistics, new generations new approachesBAYSM 2022, Montreal, Canada, June 22-23 /[electronic resource] :BAYSM 2022edited by Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire. - Cham :Springer International Publishing :2023. - viii, 115 p. :illustrations (some col.), digital ;24 cm. - Springer proceedings in mathematics & statistics,v. 4352194-1017 ;. - Springer proceedings in mathematics & statistics ;v. 435..

J. Owen, I. Vernon, J. Carter, Bayesian Emulation of Complex Computer Models with Structured Partial Discontinuities -- B. Hansen, A. Avalos-Pacheco, M. Russo, Roberta De Vito, A Variational Bayes Approach to Factor Analysis. P. Strong, Jim Q. Smith, Scalable Model Selection for Staged Trees: Mean-posterior Clustering and Binary Trees -- G. Vasdekis, Gareth O. Roberts, Speeding up the Zig-Zag process -- V. Ghidini, S. Legramanti, R. Argiento, Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks -- A. Lachi, C. Viscardi, M. Baccini, Approximate Bayesian inference for smoking habit dynamics in Tuscany.

This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on June 22-23, titled "Bayesian Statistics, New Generations New Approaches". This collection features selected peer-reviewed contributions that showcase the vibrant and diverse research presented at meeting. This book is intended for a broad audience interested in statistics and aims at providing stimulating contributions to theoretical, methodological, and computational aspects of Bayesian statistics. The contributions highlight various topics in Bayesian statistics, presenting promising methodological approaches to address critical challenges across diverse applications. This compilation stands as a testament to the talent and potential within the j-ISBA community. This book is meant to serve as a catalyst for continued advancements in Bayesian methodology and its applications and encourages fruitful collaborations that push the boundaries of statistical research.

ISBN: 9783031424137

Standard No.: 10.1007/978-3-031-42413-7doiSubjects--Topical Terms:

612456
Bayesian statistical decision theory
--Congresses.

LC Class. No.: QA279.5 / .B39 2022

Dewey Class. No.: 519.542

Bayesian statistics, new generations new approaches = BAYSM 2022, Montreal, Canada, June 22-23 /
LDR:02845nmm a2200349 a 4500 001 2336281
003 DE-He213
005 20231129214650.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031424137 $q (electronic bk.)
020 $a 9783031424120 $q (paper)
024 7 $a 10.1007/978-3-031-42413-7 $2 doi
035 $a 978-3-031-42413-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA279.5 $b .B39 2022
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.542 $2 23
090 $a QA279.5 $b .B357 2022
111 2 $a Bayesian Young Statisticians Meeting $n (6th : $d 2022 : $c Montreal, Quebec) $3 3669268
245 1 0 $a Bayesian statistics, new generations new approaches $h [electronic resource] : $b BAYSM 2022, Montreal, Canada, June 22-23 / $c edited by Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire.
246 3 $a BAYSM 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a viii, 115 p. : $b illustrations (some col.), digital ; $c 24 cm.
490 1 $a Springer proceedings in mathematics & statistics, $x 2194-1017 ; $v v. 435
505 0 $a J. Owen, I. Vernon, J. Carter, Bayesian Emulation of Complex Computer Models with Structured Partial Discontinuities -- B. Hansen, A. Avalos-Pacheco, M. Russo, Roberta De Vito, A Variational Bayes Approach to Factor Analysis. P. Strong, Jim Q. Smith, Scalable Model Selection for Staged Trees: Mean-posterior Clustering and Binary Trees -- G. Vasdekis, Gareth O. Roberts, Speeding up the Zig-Zag process -- V. Ghidini, S. Legramanti, R. Argiento, Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks -- A. Lachi, C. Viscardi, M. Baccini, Approximate Bayesian inference for smoking habit dynamics in Tuscany.
520 $a This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on June 22-23, titled "Bayesian Statistics, New Generations New Approaches". This collection features selected peer-reviewed contributions that showcase the vibrant and diverse research presented at meeting. This book is intended for a broad audience interested in statistics and aims at providing stimulating contributions to theoretical, methodological, and computational aspects of Bayesian statistics. The contributions highlight various topics in Bayesian statistics, presenting promising methodological approaches to address critical challenges across diverse applications. This compilation stands as a testament to the talent and potential within the j-ISBA community. This book is meant to serve as a catalyst for continued advancements in Bayesian methodology and its applications and encourages fruitful collaborations that push the boundaries of statistical research.
650 0 $a Bayesian statistical decision theory $v Congresses. $3 612456
650 1 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Bayesian Network. $3 3603368
650 2 4 $a Bayesian Inference. $3 3386929
700 1 $a Avalos-Pacheco, Alejandra. $3 3669269
700 1 $a De Vito, Roberta. $3 3669270
700 1 $a Maire, Florian. $3 3669271
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer proceedings in mathematics & statistics ; $v v. 435. $3 3669272
856 4 0 $u https://doi.org/10.1007/978-3-031-42413-7
950 $a Mathematics and Statistics (SpringerNature-11649)