Valencia from 1 to 5 June 2015
11th International Workshop on Objective Bayes Methodology
O-Bayes15


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  1. Mixture of Poisson estimation for expressed sequence tag sampling

Danilo Alunni Fegatelli and Luca Tardella (Sapienza Università di Roma, Italy)

 

  1. Dirichlet-multinomial model: the impact of prior distributions

Danilo Alvares, Carmen Armero, Anabel Forte (Universitat de Vàlencia) and Luis Rubio (Valencian Institute for Agricultural Research)

 

  1. Variational Bayesian SEM for undirected Network recovery using external data

Gino Bertrand Kpogbezan, Aad van der Vaart (Leiden University), Wessel N. van Wieringen (VU Amsterdam and VUmc Amsterdam), Gwenael G.R. Leday (Cambridge Institute of Public Health) and Mark van der Wiel (VU Amsterdam and VUmc Amsterdam)

 

  1. Approximation of improper priors

Christèle Bioche and Druilhet Pierre (Université Blaise Pascal)

 

  1. Using  BaySTDetect for syndromic surveillance

Areti Boulieri and  Marta Blangiardo (Imperial College London)

 

  1. Predictive Bayesian Bandits

Pierpaolo Brutti, Fulvio De Santis and Stefania Gubbiotti (Sapienza University of Rome)

 

  1. Bayesian Intensity Model for Lexis Diagram

Anna But, Jari Haukka ( University of Helsinki, Department of Public Health) and Tommi Härkänen (National Institute for Health and Welfare)

 

  1. A Markovian process representation of multiple testing

Stefano Cabras (Universidad Carlos III de Madrid and Università di Cagliari)

 

  1. Conditional Predictive p-value an ABC revisits

Stefano Cabras (Universidad Carlos III de Madrid and Università di Cagliari), María Eugenia Castellanos (Universidad Rey Juan Carlos) and Oliver Ratmann (Imperial College London)

 

  1. Nonparametric hierarchical models and their predictive structure

Federico Camerlenghi (Università degli Studi di Pavia)

 

  1. On Bayesian Transformation Selection: Comparison of Results Based on Different Forms of Bayes Factors

Efstratia Charitidou,  Dimitris Fouskakis (National Technical University of Athens) and Ioannis Ntzoufras (Athens University of Economics and Business)

 

  1. Circular Modelling of Teacher Behavior: Application and Interpretation of a Bayesian Longitudinal Model

Jolien Cremers and Irene Klugkist (Utrecht University)

 

  1. Chain Event Graphs model selection using Non-Local Priors

Rodrigo A. Collazo and Jim Q. Smith (University of Warwick)

 

  1. Equivalence results for fixed- and random-effects linear models in high dimensions: Empirical Bayes, ridge regression, and efficient variance estimation

Lee Dicker (Rutgers University) and Murat A. Erdogdu (Stanford University)

 

  1. Improving the INLA approach for approximate Bayesian inference for latent Gaussian models

Egil Ferkingstad (Norwegian University of Science and Technology and University of Iceland), Håvard Rue (Norwegian University of Science and Technology)

 

  1. Objective Bayes analysis for Gaussian dynamic linear models

Marco Ferreira(Virginia Tech)

 

  1. A Bayesian nonparametric approach to quantifying dependence between random variables

Sarah Filipp and  Chris Holmes (University of Oxford)

 

  1. Susie Bayarri’s contributions to Bayesian methods in finite populations

M. Begoña Font-Belaire (University of Valencia)

 

  1. BayesVarSel: Hypothesis Testing and Variable Selection in R

Gonzalo García-Donato (Universidad de Castilla-La Mancha) and Anabel Forte (Universitat de Vàlencia)

 

 

  1. Jeffreys's priors for mixture estimation

Clara Grazian (Université Paris-Dauphine, Sapienza Università di Roma) and Christian P. Robert (CEREMADE, Université Paris-Dauphine)

 

  1. Bayesian Bivariate Meta-analysis with Interpretable Priors

Jingyi Guo, Håvard Rue and Andrea Riebler (Norwegian University of Science and Technology)

 

  1. A Robust Bayesian Gaussian Analysis

Morten Holm Falk, Håvard Rue and Andrea Riebler (Institute of Mathematical Sciences, Norwegian University of Science and Technology (NTNU)

 

  1. Bayesian Variable Selection with Heredity Constraints

Woncheol Jang, Johan Lim and  Yongdai Kim (Seoul National University), Joungyoun Kim (Research Institute for Future Medicine, Samsung Medical Center)

 

  1. Unifying Strategies to Improve the Performance of Gibbs-Type Samplers

Xiyun Jiao and David A. van Dyk (Statistics Section, Department of Mathematics, Imperial College London)

 

  1. Construction of prior information with data-mining approach

Katarzyna Kaczmarek and Olgierd Hryniewicz (Systems Research Institute, Polish Academy of Sciences)

 

  1. On a novel mixture parameterization

Kaniav Kamary (CEREMADE, Université Paris-Dauphine), Kate Lee (Auckland University of Technology, New Zealand) and Christian P. Robert (CEREMADE, Université ParisDauphine)

 

  1. Testing Hypotheses via a Mixture Estimation Model

Kaniav Kamary (Universite Paris-Dauphine, CEREMADE), Kerrie Mengersen (Queensland University of Technology, Brisbane), Christian P. Robert (Universite Paris-Dauphine, CEREMADE Dept. of Statistics, University of Warwick, and CREST), Judith Rousseau (Universite Paris-Dauphine, CEREMADE, and CREST, Paris)

 

  1. Linking Statistical Emulators

Ksenia Kyzyurova (Duke University)

 

  1. Jeffreys’s Correlation Test Based on Criteria of Bayarri, Berger, Forte, and Garcia-Donato (2012)

Alexander Ly, Maarten Marsman and  Eric-Jan Wagenmakers (University of Amsterdam)

 

  1. Nonparametric Bayes for causal inference - Dynamic treatment regimes

Peter Mueller, Yanxun Xu (UT Austin), Peter Thall (MD Anderson) and Abdus Wahed (U Pittsburgh)

 

  1. Singular value shrinkage priors for Bayesian prediction

Takeru Matsuda and Fumiyasu Komaki (University of Tokyo)

 

  1. Longitudinal mediation models using ML and Bayesian estimation

Milica Miocevic, M.A., David P. MacKinnon and Roy Levy (Arizona State University)

 

  1. Extending Bayesian analysis of circular data to comparison of multiple groups

Kees Mulder and Irene Klugkist (Utrecht University)

 

  1. Bayesian Model Selection Based on Proper Scoring Rules

Monica Musio (University of Cagliari) and  Alexander Philip Dawid (University of Cambridge)

 

  1. Adaptive Bayesian Estimation of Conditional Densities

Andriy Norets (Brown University) and Debdeep Pati (Florida State University)

 

  1. Minimum Bayes factors that depend on the sample size

Manuela Ott and Leonhard Held (Epidemiology, Biostatistics and Prevention Institute, University of Zurich)

 

  1. Bayesian Disease Mapping. Application to the unemployment rate estimation by Portuguese NUTS III

Soraia Pereira (Faculty of Sciences, University of Lisbon)

 

  1. Reconciling two Popular Approaches for  Summarizing Case Influence in Bayesian Models

Mario Peruggia, Steven MacEachern, Zachary Thomas (The Ohio State University)

 

  1. Bayesian Estimation of the Prevalence of Latent Tuberculosis Infection in Hospital Workers of Public Hospital Network of Medellin-Colombia

Isabel Cristina Ramírez Guevara y Carlos Mario Lopera Gómez (Universidad Nacional de Colombia Sede Medellín), Alba Luz León Alvarez,  María Patricia Arbeláez Montoya y Jesús Ernesto Ochoa Acosta (Universidad de Antioquia, Facultad Nacional de Salud Pública, Medellín)

 

  1. Posterior distributions from robust M-estimating functions via approximate Bayesian computation

Erlis Ruli, Nicola Sartori and Laura Ventura (Department of Statistical Sciences, University of Padova)

 

  1. Improved Laplace Approximation for Marginal Likelihoods

Erlis Ruli, Nicola Sartori and Laura Ventura (Department of Statistical Sciences, University of Padova)

 

  1. Sample Inflation for Efficient Sampling in Models with factorizing posteriors

Ingmar Schuster (University of Leipzig)

 

  1. A Hierarchical Model for the Age of Galactic Halo White Dwarfs

Shijing Si, David van Dyk (Imperial College London) and Ted von Hippel (Embry Riddle Aeronautical University)

 

  1. Objective Bayesian Reference Analysis for the Generalized Normal Regression Model: Local Influence and an Application on data of Brazilian Eucalyptus Clones

Vera Tomazella, Sandra de Jesus Rego (Federal University of São Carlos-UFSCar) and Francisco Louzada Neto (University of São Paulo-São Carlos)

 

  1. An objective prior covering information-based inference

Paul A. Wiggins and Colin LaMont

 

  1. Objective Analysis of Ordinal Probit Models

Andrew Womack, Luis León-Novelo, Elías Moreno

 

  1. Alternatives for Ghosal-Ghosh-Vaart priors

Yanyun Zhao (Universidad Carlos III de Madrid) and Bas Kleijn (University of Amsterdam)

 


Organizers, sponsors, collaborators

            

ADEIT Fundació Universitat Empresa

Plaza Virgen de la Paz, 3 · E-46001 Valencia
Phone: +34 96 160 3000