Bayesian statistics, new generations new approaches : BAYSM 2022, Montréal, Canada, June 22-23

Bayesian statistics, new generations new approaches : BAYSM 2022, Montréal, Canada, June 22-23 / Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire, editors.

This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montral, Canada, held on June 2223, titled "Bayesian Statistics, New Generations New Approaches". This collection features selected peer-reviewed contributions that showcase the vibrant and divers...

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Bibliographic Details
Corporate Author: BAYSM Montréal, Québec
Other Authors: Avalos-Pacheco, Alejandra (Editor), De Vito, Roberta (Editor), Maire, Florian (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2023]
Series:Springer proceedings in mathematics & statistics ; v. 435.
Subjects:
Bayesian statistical decision theory > Congresses.
Bayesian statistical decision theory.
proceedings (reports)
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Intro
  • Preface
  • Contents
  • Bayesian Emulation of Complex Computer Models with Structured Partial Discontinuities
  • 1 Introduction
  • 2 Bayesian Emulation with Partial Discontinuities
  • 2.1 Emulation of Computer Models
  • 2.2 Torn Embeddings in Higher Dimensions
  • 2.3 Controlling for the Induced Local Warping Effect
  • 2.4 Controlling for the Global Impact of the Embedding Using Non-stationary Emulation
  • 3 Application: TNO OLYMPUS Well Placement Optimisation Challenge
  • 4 Conclusion
  • References
  • A Variational Bayes Approach to Factor Analysis
  • 1 Background
  • 2 Methods
  • 3 Results
  • 4 Conclusions
  • References
  • Scalable Model Selection for Staged Trees: Mean-posterior Clustering and Binary Trees
  • 1 Introduction
  • 2 Preliminaries
  • 2.1 Staged Trees
  • 2.2 Conjugate Learning and Model Selection
  • 3 Methods
  • 3.1 Totally Ordered Hyperstage
  • 4 Mean Posterior Probabilities
  • 4.1 Resize Operator
  • 5 A Comparative Analysis of Competing Methodologies
  • 6 Christchurch Health and Development Study Example
  • 7 Discussion
  • References
  • Speeding up the Zig-Zag Process
  • 1 Introduction
  • 2 The SUZZ Process
  • 3 Theoretical Results
  • 4 Numerical Examples
  • Mixing Times of a Gibbs Sampler for Probit Hierarchical Models
  • 1 Introduction
  • 2 Probit Hierarchical Models
  • 3 Theoretical Results on Mixing Times
  • 4 Numerical Illustration
  • 5 Conclusions
  • References
  • A Note on the Dependence Structure of Hierarchical Completely Random Measures
  • 1 Introduction
  • 2 Hierarchical Completely Random Measures
  • 3 Dependence Structure
  • 4 Discussion
  • 5 Proofs
  • References
  • Observed Patterns of Heat Wave Intensities with Respect to Time and Global Surface Temperature
  • 1 Introduction
  • 2 Methods
  • 3 Applications
  • 3.1 Heat Wave Maximum Intensity Over Time
  • 3.2 Heat Wave Maximum Intensity and Global Surface Temperature
  • 4 Conclusions
  • References
  • Expectation Propagation for the Smoothing Distribution in Dynamic Probit
  • 1 Introduction
  • 2 Literature Review
  • 3 Expectation Propagation (EP) for the Dynamic Probit
  • 3.1 Implementation Without p n times p npntimespn Matrix Inversions
  • 3.2 Implementation Without p n times p npntimespn Matrix Updates
  • 3.3 Computational Costs
  • 4 Financial Illustration
  • 5 Discussion
  • References

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