Bayesian Statistics and New Generations BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions

Bayesian Statistics and New Generations BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / edited by Raffaele Argiento, Daniele Durante, Sara Wade.

This book presents a selection of peer-reviewed contributions to the fourth Bayesian Young Statisticians Meeting, BAYSM 2018, held at the University of Warwick on 2-3 July 2018. The meeting provided a valuable opportunity for young researchers, MSc students, PhD students, and postdocs interested in...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Argiento, Raffaele (Editor), Durante, Daniele (Editor), Wade, Sara (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Springer Proceedings in Mathematics & Statistics, 296
Springer eBook Collection.
Subjects:
Statistics .
Computer simulation.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Part I – Theory and Methods: A. Diana, J. Griffin, and E. Matechou, A Polya Tree Based Model for Unmarked Individuals in an Open Wildlife Population
  • S. Haque and K. Mengersen, Bias Estimation and Correction Using Bootstrap Simulation of the Linking Process
  • N. Laitonjam and N. Hurley, Non-parametric Overlapping Community Detection
  • L. Fee Schneider, T. Staudt, and A. Munk, Posterior Consistency in the Binomial Model with Unknown Parameters: A Numerical Study
  • C. Spire and D. Chakrabarty, Learning in the Absence of Training Data - a Galactic Application
  • D. Tait and B. Worton, Multiplicative Latent Force Models
  • PART II – Computational Statistics: N. Cunningham, J. E. Griffin, D. L. Wild, and A. Lee, particleMDI: A Julia Package for the Integrative Cluster Analysis of Multiple Datasets
  • D. Hosszejni and G. Kastner, Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage
  • B. Karimi and M. Lavielle, Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models
  • G. Kratzer, Reinhard Furrer, and Pittavino Marta. Comparison Between Suitable Priors for Additive Bayesian Networks
  • I. Peneva and R. Savage, A Bayesian Nonparametric Model for Integrative Clustering of Omics Data
  • I. Schwabe, Bayesian Inference of Interaction Effects in Item-Level Hierarchical Twin Data
  • PART III – Applied Statistics: K. Brock, L. Billingham, C. Yap, and G. Middleton, A Phase II Clinical Trial Design for Associated Co-Primary Efficacy and Toxicity Outcomes with Baseline Covariates
  • E. Lanzarone, E. Scalco, A. Mastropietro, S. Marzi, and G. Rizzo, A Conditional Autoregressive Model for estimating Slow and Fast Diffusion from Magnetic Resonance Images
  • D. Rocha, M. Scotto, C. Pinto, J. Nuno Tavares, and S. Gouveia, Simulation Study of HIV Temporal Patterns Using Bayesian Methodology
  • A. Shenvi, J. Smith, R. Walton, and S. Eldridge, Modelling with Non-Stratified Chain Event Graphs
  • O. Stevenson and B. Brewer, Modelling Career Trajectories of Cricket Players Using Gaussian Processes
  • F. Turner, R. Wilkinson, C. Buck, J. Jones, and L. Sime, Ice Cores and Emulation: Learning More About Past Ice Sheet Shapes.

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