東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Bayesian statistics from methods to ...

Fruhwirth-Schnatter, Sylvia.

Linked to FindBook

Google Book

Amazon

博客來

Bayesian statistics from methods to models and applications = research from BAYSM 2014 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bayesian statistics from methods to models and applications/ edited by Sylvia Fruhwirth-Schnatter ... [et al.].
Reminder of title:	research from BAYSM 2014 /
other author:	Fruhwirth-Schnatter, Sylvia.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xiii, 167 p. :ill., digital ;24 cm.
[NT 15003449]:	On Bayesian based adaptive confidence sets for linear functionals -- A new finite approximation for the NGG mixture model: an application to density estimation -- Distributed Estimation of Mixture Models -- Bayesian Survival Model based on Moment Characterization -- Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check -- A subordinated stochastic process model -- Jeffreys priors for mixture estimation -- Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior -- A new strategy for testing cosmology with simulations -- Mixture Model for Filtering Firms' Profit Rates -- Bayesian Estimation of the Aortic Stiffness based on Non-Invasive Computed Tomography Images -- Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate -- Bayesian Filtering for Thermal Conductivity Estimation given Temperature Observations -- Application of Interweaving in DLMs to an Exchange and Specialization Experiment.
Contained By:	Springer eBooks
Subject:	Bayesian statistical decision theory - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-16238-6
ISBN:	9783319162386 (electronic bk.)

Bayesian statistics from methods to models and applications = research from BAYSM 2014 /
Bayesian statistics from methods to models and applicationsresearch from BAYSM 2014 /[electronic resource] :edited by Sylvia Fruhwirth-Schnatter ... [et al.]. - Cham :Springer International Publishing :2015. - xiii, 167 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.1262194-1009 ;. - Springer proceedings in mathematics & statistics ;v.19..

On Bayesian based adaptive confidence sets for linear functionals -- A new finite approximation for the NGG mixture model: an application to density estimation -- Distributed Estimation of Mixture Models -- Bayesian Survival Model based on Moment Characterization -- Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check -- A subordinated stochastic process model -- Jeffreys priors for mixture estimation -- Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior -- A new strategy for testing cosmology with simulations -- Mixture Model for Filtering Firms' Profit Rates -- Bayesian Estimation of the Aortic Stiffness based on Non-Invasive Computed Tomography Images -- Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate -- Bayesian Filtering for Thermal Conductivity Estimation given Temperature Observations -- Application of Interweaving in DLMs to an Exchange and Specialization Experiment.

The Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilitate connections among researchers using Bayesian Statistics by providing a forum for the development and exchange of ideas. WU Vienna University of Business and Economics hosted BAYSM 2014 from September 18th to 19th. The guidance of renowned plenary lecturers and senior discussants is a critical part of the meeting and this volume, which follows publication of contributions from BAYSM 2013. The meeting's scientific program reflected the variety of fields in which Bayesian methods are currently employed or could be introduced in the future. Three brilliant keynote lectures by Chris Holmes (University of Oxford), Christian Robert (Universite Paris-Dauphine), and Mike West (Duke University), were complemented by 24 plenary talks covering the major topics Dynamic Models, Applications, Bayesian Nonparametrics, Biostatistics, Bayesian Methods in Economics, and Models and Methods, as well as a lively poster session with 30 contributions. Selected contributions have been drawn from the conference for this book. All contributions in this volume are peer-reviewed and share original research in Bayesian computation, application, and theory.

ISBN: 9783319162386 (electronic bk.)

Standard No.: 10.1007/978-3-319-16238-6doiSubjects--Topical Terms:

612456
Bayesian statistical decision theory
--Congresses.

LC Class. No.: QA279.5

Dewey Class. No.: 519.542

Bayesian statistics from methods to models and applications = research from BAYSM 2014 /
LDR:03380nmm a2200325 a 4500 001 2006520
003 DE-He213
005 20160105134512.0
006 m d
007 cr nn 008maaau
008 160114s2015 gw s 0 eng d
020 $a 9783319162386 (electronic bk.)
020 $a 9783319162379 (paper)
024 7 $a 10.1007/978-3-319-16238-6 $2 doi
035 $a 978-3-319-16238-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA279.5
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.542 $2 23
090 $a QA279.5 $b .B357 2015
245 0 0 $a Bayesian statistics from methods to models and applications $h [electronic resource] : $b research from BAYSM 2014 / $c edited by Sylvia Fruhwirth-Schnatter ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiii, 167 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer proceedings in mathematics & statistics, $x 2194-1009 ; $v v.126
505 0 $a On Bayesian based adaptive confidence sets for linear functionals -- A new finite approximation for the NGG mixture model: an application to density estimation -- Distributed Estimation of Mixture Models -- Bayesian Survival Model based on Moment Characterization -- Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check -- A subordinated stochastic process model -- Jeffreys priors for mixture estimation -- Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior -- A new strategy for testing cosmology with simulations -- Mixture Model for Filtering Firms' Profit Rates -- Bayesian Estimation of the Aortic Stiffness based on Non-Invasive Computed Tomography Images -- Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate -- Bayesian Filtering for Thermal Conductivity Estimation given Temperature Observations -- Application of Interweaving in DLMs to an Exchange and Specialization Experiment.
520 $a The Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilitate connections among researchers using Bayesian Statistics by providing a forum for the development and exchange of ideas. WU Vienna University of Business and Economics hosted BAYSM 2014 from September 18th to 19th. The guidance of renowned plenary lecturers and senior discussants is a critical part of the meeting and this volume, which follows publication of contributions from BAYSM 2013. The meeting's scientific program reflected the variety of fields in which Bayesian methods are currently employed or could be introduced in the future. Three brilliant keynote lectures by Chris Holmes (University of Oxford), Christian Robert (Universite Paris-Dauphine), and Mike West (Duke University), were complemented by 24 plenary talks covering the major topics Dynamic Models, Applications, Bayesian Nonparametrics, Biostatistics, Bayesian Methods in Economics, and Models and Methods, as well as a lively poster session with 30 contributions. Selected contributions have been drawn from the conference for this book. All contributions in this volume are peer-reviewed and share original research in Bayesian computation, application, and theory.
650 0 $a Bayesian statistical decision theory $v Congresses. $3 612456 $3 1274102
650 0 $a Neural networks (Computer science) $3 532070
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 891081
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
700 1 $a Fruhwirth-Schnatter, Sylvia. $3 2153485
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer proceedings in mathematics & statistics ; $v v.19. $3 1619928
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-16238-6
950 $a Mathematics and Statistics (Springer-11649)