The Resource Bayesian statistics from methods to models and applications : research from BAYSM 2014, Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany, editors

Bayesian statistics from methods to models and applications : research from BAYSM 2014, Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany, editors

Label
Bayesian statistics from methods to models and applications : research from BAYSM 2014
Title
Bayesian statistics from methods to models and applications
Title remainder
research from BAYSM 2014
Statement of responsibility
Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany, editors
Contributor
Editor
Subject
Genre
Language
eng
Summary
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 (Université 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
Member of
Cataloging source
N$T
Dewey number
519.5/42
Index
index present
LC call number
QA279.5
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1959-
  • 2014
http://library.link/vocab/relatedWorkOrContributorName
  • Frühwirth-Schnatter, Sylvia
  • Bitto, Angela
  • Kastner, Gregor
  • Posekany, Alexandra
  • Bayesian Young Statisticians Meeting
Series statement
Springer proceedings in mathematics & statistics
Series volume
volume 126
http://library.link/vocab/subjectName
  • Bayesian statistical decision theory
  • Neural networks (Computer science)
Label
Bayesian statistics from methods to models and applications : research from BAYSM 2014, Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-16238-6
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9783319162386
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-16238-6
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)909772455
  • (OCoLC)ocn909772455
Label
Bayesian statistics from methods to models and applications : research from BAYSM 2014, Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-16238-6
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9783319162386
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-16238-6
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)909772455
  • (OCoLC)ocn909772455

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