Coverart for item
The Resource Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21, Raffaele Argiento, Ettore Lanzarone, Isadora Antoniano Villalobos, Alessandra Mattei, editors

Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21, Raffaele Argiento, Ettore Lanzarone, Isadora Antoniano Villalobos, Alessandra Mattei, editors

Label
Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21
Title
Bayesian statistics in action
Title remainder
BAYSM 2016, Florence, Italy, June 19-21
Statement of responsibility
Raffaele Argiento, Ettore Lanzarone, Isadora Antoniano Villalobos, Alessandra Mattei, editors
Title variation
BAYSM 2016
Creator
Contributor
Editor
Subject
Genre
Language
eng
Summary
This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian statistics to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field. The contributions develop and apply Bayesian methods in a variety of fields, ranging from the traditional (e.g., biostatistics and reliability) to the most innovative ones (e.g., big data and networks)
Member of
Cataloging source
N$T
Dewey number
519.5/42
Illustrations
illustrations
Index
no index present
LC call number
QA279.5
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2016
http://bibfra.me/vocab/lite/meetingName
Bayesian Young Statisticians Meeting
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Argiento, Raffaele
  • Lanzarone, Ettore
  • Villalobos, Isadora Antoniano
  • Mattei, Alessandra
Series statement
Springer proceedings in mathematics & statistics,
Series volume
volume 194
http://library.link/vocab/subjectName
  • Bayesian statistical decision theory
  • Neural networks (Computer science)
  • Statistics
  • Statistical Theory and Methods
  • Statistics and Computing/Statistics Programs
  • Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  • Statistics for Business/Economics/Mathematical Finance/Insurance
Label
Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21, Raffaele Argiento, Ettore Lanzarone, Isadora Antoniano Villalobos, Alessandra Mattei, editors
Instantiates
Publication
Antecedent source
unknown
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
  • Preface; Contents; Part I Theory and Methods; Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data; 1 Introduction; 2 Bayesian Random Intercept Model; 3 Sequential Monte Carlo Methods; 4 Application; 5 Conclusions; References; On the Truncation Error of a Superposed Gamma Process; 1 Introduction; 2 Sampling Completely Random Measures; 2.1 Completely Random Measures; 2.2 Ferguson and Klass Algorithm; 3 Truncation Error of the Superposed Gamma Process; 3.1 Bound in Probability; 3.2 Moment-Matching Criterion; References
  • On the Study of Two Models for Integer-Valued High-Frequency Data1 Introduction; 2 Distributions for Tick Data; 2.1 Skellam Distribution; 2.2 Folded Geometric Distribution; 3 Algorithms; 4 Application; 5 Discussion; References; Identification and Estimation of Principal Causal Effects in Randomized Experiments with Treatment Switching; 1 Introduction; 2 Principal Stratification Approach to Treatment Switching; 3 Identification Assumptions; 4 Partially Simulated Case Study; 4.1 Estimation Strategy; 4.2 Results and Comments; References; A Bayesian Joint Dispersion Model with Flexible Links
  • 1 Introduction2 Model Specification; 2.1 Longitudinal Mixed Dispersion Model; 2.2 Hazard Model with Time-Varying Coefficients; 3 The Posterior Distribution; 4 HIV/AIDS Data Analysis; 4.1 Fitted Models; 4.2 Results; 5 Discussion; References; Local Posterior Concentration Rate for Multilevel Sparse Sequences; 1 Introduction; 2 Preliminaries; 2.1 Notation; 2.2 Empirical Bayes Posterior; 3 Main Results; References; Likelihood Tempering in Dynamic Model Averaging; 1 Introduction; 2 On-Line Prediction with a Set of Admissible Models; 2.1 Dynamic Model Averaging; 3 Tempered Bayesian Update
  • 4 Mixture-Based Approach5 Simulation Results; 6 Conclusion; References; Localization in High-Dimensional Monte Carlo Filtering; 1 Introduction; 2 Ensemble Filtering Algorithms; 3 Local Algorithms; 4 Simulation Studies; 4.1 Conjugate Normal Setup; 4.2 Filtering with the Lorenz96 Model; 5 Conclusion; References; Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference; 1 Introduction; 2 Mathematical Method; 2.1 Bayesian Hierarchical Model; 3 Experiments; 3.1 Toy Example; 3.2 Realistic Example; 4 Conclusion; References; Part II Applications and Case Studies
  • Bayesian Hierarchical Model for Assessment of Climate Model Biases1 Introduction; 2 Bayesian Hierarchical Approach for Climate Model Biases; 3 Application to Temperature Bias in the Tropical Atlantic Region; 3.1 Choice of Weighting Functions; 3.2 Results; 4 Conclusions; References; An Application of Bayesian Seemingly Unrelated Regression Models with Flexible Tails; 1 Introduction; 2 Bayesian SUR Model with Mod-t Distribution; 2.1 Mod-t Distribution; 2.2 SUR Model; 2.3 MCMC Algorithm; 3 Application; 3.1 Capital Asset Pricing Model (CAPM); 3.2 Results; 4 Conclusion; References
Dimensions
unknown
Extent
1 online resource (ix, 251 pages)
File format
unknown
Form of item
online
Isbn
9783319540849
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-54084-9
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
ocn985105665
Label
Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21, Raffaele Argiento, Ettore Lanzarone, Isadora Antoniano Villalobos, Alessandra Mattei, editors
Publication
Antecedent source
unknown
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
  • Preface; Contents; Part I Theory and Methods; Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data; 1 Introduction; 2 Bayesian Random Intercept Model; 3 Sequential Monte Carlo Methods; 4 Application; 5 Conclusions; References; On the Truncation Error of a Superposed Gamma Process; 1 Introduction; 2 Sampling Completely Random Measures; 2.1 Completely Random Measures; 2.2 Ferguson and Klass Algorithm; 3 Truncation Error of the Superposed Gamma Process; 3.1 Bound in Probability; 3.2 Moment-Matching Criterion; References
  • On the Study of Two Models for Integer-Valued High-Frequency Data1 Introduction; 2 Distributions for Tick Data; 2.1 Skellam Distribution; 2.2 Folded Geometric Distribution; 3 Algorithms; 4 Application; 5 Discussion; References; Identification and Estimation of Principal Causal Effects in Randomized Experiments with Treatment Switching; 1 Introduction; 2 Principal Stratification Approach to Treatment Switching; 3 Identification Assumptions; 4 Partially Simulated Case Study; 4.1 Estimation Strategy; 4.2 Results and Comments; References; A Bayesian Joint Dispersion Model with Flexible Links
  • 1 Introduction2 Model Specification; 2.1 Longitudinal Mixed Dispersion Model; 2.2 Hazard Model with Time-Varying Coefficients; 3 The Posterior Distribution; 4 HIV/AIDS Data Analysis; 4.1 Fitted Models; 4.2 Results; 5 Discussion; References; Local Posterior Concentration Rate for Multilevel Sparse Sequences; 1 Introduction; 2 Preliminaries; 2.1 Notation; 2.2 Empirical Bayes Posterior; 3 Main Results; References; Likelihood Tempering in Dynamic Model Averaging; 1 Introduction; 2 On-Line Prediction with a Set of Admissible Models; 2.1 Dynamic Model Averaging; 3 Tempered Bayesian Update
  • 4 Mixture-Based Approach5 Simulation Results; 6 Conclusion; References; Localization in High-Dimensional Monte Carlo Filtering; 1 Introduction; 2 Ensemble Filtering Algorithms; 3 Local Algorithms; 4 Simulation Studies; 4.1 Conjugate Normal Setup; 4.2 Filtering with the Lorenz96 Model; 5 Conclusion; References; Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference; 1 Introduction; 2 Mathematical Method; 2.1 Bayesian Hierarchical Model; 3 Experiments; 3.1 Toy Example; 3.2 Realistic Example; 4 Conclusion; References; Part II Applications and Case Studies
  • Bayesian Hierarchical Model for Assessment of Climate Model Biases1 Introduction; 2 Bayesian Hierarchical Approach for Climate Model Biases; 3 Application to Temperature Bias in the Tropical Atlantic Region; 3.1 Choice of Weighting Functions; 3.2 Results; 4 Conclusions; References; An Application of Bayesian Seemingly Unrelated Regression Models with Flexible Tails; 1 Introduction; 2 Bayesian SUR Model with Mod-t Distribution; 2.1 Mod-t Distribution; 2.2 SUR Model; 2.3 MCMC Algorithm; 3 Application; 3.1 Capital Asset Pricing Model (CAPM); 3.2 Results; 4 Conclusion; References
Dimensions
unknown
Extent
1 online resource (ix, 251 pages)
File format
unknown
Form of item
online
Isbn
9783319540849
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-54084-9
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
ocn985105665

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