O'Bayes 2022: Objective Bayes Methodology Conference
Department of Statistics, UC Santa Cruz

O'Bayes 2022

University of California Santa Cruz
September 6-10, 2022

The complete conference schedule in a single PDF is here.
All tutorial and talk titles and abstracts in a single PDF is here.
The complete list of accepted posters is here.

Detailed Schedule

Tuesday Sept 6
12:00 – 14:00 Registration
14:00 – 15:00 Tutorial #1: An Introduction to Bayesian Model Averaging Mark Steel (University of Warwick)
15:00 – 16:00 Tutorial #2: Bayesian Nonparametrics Methods with Applications to the Analysis of Neuroimaging Data Michele Guindani (UCLA)
16:30 – 17:30 Tutorial #3: Scalable Bayesian Computation for Hierarchical Models: Methods and Theory Omiros Papaspiliopoulos (Università Bocconi)
17:30 – 18:30 Tutorial #4: Bayesian Inference in High- Dimensional Models Subhashis Ghosal (NCSU)
Wednesday Sept 7
8:00 – 9:00 Registration
09:00 – 09:15 Opening Address Dimitris Fouskakis (NTUA) and Bruno Sansó (UCSC)
09:15 - 10:10 Reverse-Bayes Methods for the Analysis of Replication Studies
Leo Held (University of Zurich)
discussant: Luis Pericchi (University of Puerto Rico)
10:10 - 11:05 An Extension of the Unified Skew-Normal Family of Distributions and Applications to Bayesian Binary Regression
Brunero Liseo (Sapienza Università di Roma)
discussant: Athanasios Kottas (UCSC)
11:35 – 12.30 The Role of Skew-Symmetric Distributions in Bayesian Inference: Conjugacy, Scalable Approximations and Asymptotics
Daniele Durante (Università Bocconi)
discussant: Mengyang Gu (UCSB)
14:05 – 15:00 Screening the Discrepancy Function of a Computer Model
Anabel Forte (Universitat de València)
discussant: Marilena Barbieri (Università Roma Tre)
15:00 - 15:55 Model Selection Quantification in Presence of Missing Data
Maria-Eugenia Castellanos (Universidad Rey Juan Carlos)
discussant: Marco Ferreira (Virginia Tech)
16:25 - 17:20 Automatic Relevance Determination with Statistical Guarantees
Feng Liang (UIUC)
discussant: David Draper (UCSC)
17:45 – 19:45 Reception and Poster Session
Thursday Sept 8
9:15 - 10:10 Concentration and Robustness of Discrepancy-Based ABC via Rademacher Complexity
Pierre Alquier (RIKEN - AIP)
discussant: Anirban Bhattacharya (Texas A&M University)
10:10 - 11:05 Bayesian Synthetic Likelihood – Asymptotics and Misspecification
Chris Drovandi (Queensland University of Technology)
discussant: Stefano Cabras (Universidad Carlos III de Madrid)
11:35 - 12:30 Automatic Learning of Functional Summary Statistics for Approximate Bayesian Computation
Florence Forbes (INRIA Grenoble Rhone-Alpes)
discussant: Natesh Pillai (Harvard University)
14:05 – 15:00 Building Bridges: Bayesian Approaches for Increasing Reproducibility in Null Hypothesis Significance Testing
Maria-Eglée Pérez (University of Puerto Rico)
discussant Alexander Ly (University of Amsterdam)
15:00 - 15:55 Model Selection as Point Estimation
Eduardo Gutierrez (IIMAS, UNAM)
discussant: Edward George (University of Pennsylvania)
16:25 - 17:20 Default Priors and Robust Estimation for Generalized Linear Models
Discussion; Rejoinder
Abel Rodriguez (University of Washington)
discussant: Alice Kirichenko (University of Warwick)
17:20 - 18:15 Reflections on Intrinsic Priors
Jim Berger (Duke University)
discussant: Luis Pericchi (University of Puerto Rico)
Friday Sept 9
9:15 - 10:10 Improper Models for Data Analysis
David Rossell (Universitat Pompeu Fabra)
discussant: Havard Rue (King Abdullah University of Science and Technology)
10:10 - 11:05 Adversarial Bayesian Simulation
Veronika Rockova (University of Chicago)
discussant: Weining Shen (UCI)
11:35 - 12:30 Functional Partial Membership Models
Donatello Telesca (UCLA)
discussant: Luis Carvalho (Boston University)
14:05 – 15:00 Nested Nonparametric Processes
Federico Camerlenghi (University of Milano-Bicocca)
discussant: Antonio Canalle (University of Padova)
15:00 - 15:55 Exchangeable Random Measures and Stick-Breaking Priors
Ramsés Mena (Universidad Nacional Autónoma de México)
discussant: Sinead Williamson (University of Texas at Austin)
16:30 – 17:30 Meeting of the O’Bayes Section of ISBA (open to everyone)
19:00 – 22:00 Conference Dinner
Saturday Sept 10
9:00 - 9:55 Predictive Inference: a Path Towards Objectivity?
Chris Holmes (University of Oxford)
discussant: Bertrand Clarke (UNL)
9:55 - 10:50 Finding Structures in Observations: Consistent(?) Clustering Analysis
Clara Grazian (University of Sidney)
discussant: Garritt Page (BYU)
11:25 - 12:15 A Multidimensional Objective Prior based on Scoring Rules
Isadora Antoniano-Villalobos (Università Ca' Foscari)
discussant: Stefan Franssen (Delft University)
12:15 – 12:30 Closing Address