1
27 May 2021 / 17.45-18.35 CEST
A matrix-variate t model for networks
Matteo Iacopini, Vrije Universiteit Amsterdam and Tinbergen Institute, Netherlands
Monica Billio, Ca’ Foscari University of Venice, ItalyRoberto Casarin, Ca’ Foscari University of Venice, Italy
Michele Costola, Ca’ Foscari University of Venice, Italy
2
27 May 2021 / 17.45-18.35 CEST
Forecasting count series in retail
Bruno Flores, ICMAT-CSIC, Spain
3
27 May 2021 / 17.45-18.35 CEST
Latent Branching Trees: A Novel Class of Semi-Parametric Time Series Models
Theodore Kypraios, University of Nottingham, United Kingdom
Paul Fearnhead, Lancaster University, United KingdomGareth O. Roberts, University of Warwick, United Kingdom
4
27 May 2021 / 17.45-18.35 CEST
Predictive inference with Fleming-Viot-driven dependent Dirichlet processes
Filippo Ascolani, Bocconi University, Italy
Antonio Lijoi, Department of Decision Sciences, Bocconi University, Milano, ItalyMatteo Ruggiero, Collegio Carlo Alberto and ESOMAS Department, University of Torino, Italy
5
27 May 2021 / 17.45-18.35 CEST
More for less: Predicting and maximizing genetic variant discovery via Bayesian nonparametrics
Lorenzo Masoero, Massachusetts Institute of Technology, United States
Federico Camerlenghi, University of Milano - Bicocca, ItalyStefano Favaro, University of Torino and Collegio Carlo Alberto, Italy
Tamara Broderick, Massachusetts Institute of Technology, USA
6
27 May 2021 / 17.45-18.35 CEST
Local Exchangeability
Trevor Campbell, University of British Columbia, Canada
Saifuddin Syed, University of British Columbia, CanadaChiao-Yu Yang, University of California, Berkeley, USA
Michael Jordan, University of California, Berkeley, USA
Tamara Broderick, Massachusetts Institute of Technology, USA
7
27 May 2021 / 17.45-18.35 CEST
Spatially meshed Markov chain Monte Carlo
Michele Peruzzi, Duke University, United States
David Dunson, Duke University, USA
8
27 May 2021 / 17.45-18.35 CEST
Efficient Bayesian Model Selection for Coupled Hidden Markov Models with Weak Inter-Chain Dependencies
Jake Carson, University of Warwick, United Kingdom
Trevelyan J McKinley, University of ExeterPeter Neal, University of Nottingham
Simon EF Spencer, University of Warwick
9
28 May 2021 / 13.00-13.50 CEST
Gaussian Process with multiple degrees of freedom
Izhar Asael Alonzo Matamoros, Aalto University, Finland
Aki Vehtari, Aalto University, Finland
10
28 May 2021 / 13.00-13.50 CEST
Bayesian Variable Selection for Gaussian copula regression models
Angelos Alexopoulos, MRC Biostatistics Unit, University of Cambridge, United Kingdom
Leonardo Bottolo, Department of Medical Genetics, University of Cambridge; The Alan Turing Institute, London; MRC Biostatistics Unit, University of Cambridge11
28 May 2021 / 13.00-13.50 CEST
Gaussian process modelling including derivatives in the framework of computational soil and earth structure simulations
Carmen van Meegen, TU Dortmund Univerisity, Germany
Carla Henning, University of Stuttgart, GermanySwetlana Herbrandt, TU Dortmund University, Germany
Katja Ickstadt, TU Dortmund University, Germany
Tim Ricken, University of Stuttgart, Germany
12
28 May 2021 / 13.00-13.50 CEST
Lithological Tomography with the Correlated Pseudo-Marginal Method
Lea Friedli, Institute of Earth Sciences, University of Lausanne, Switzerland, Switzerland
Niklas Linde, University of Lausanne, SwitzerlandDavid Ginsbourger, University of Bern, Switzerland
Arnaud Doucet, Oxford University, United Kingdom
13
28 May 2021 / 13.00-13.50 CEST
A Hierarchical Model of Nonhomogeneous Poisson Processes for Twitter Retweets
Clement Lee, Lancaster University, United Kingdom
Darren Wilkinson, Newcastle University, UK
14
28 May 2021 / 13.00-13.50 CEST
Estimating the effectiveness of permanent price reductions for competing products using Multivariate Bayesian Structural Time Series Models
Fiammetta Menchetti, University of Florence, Italy
Iavor Bojinov , Harvard Business School, USA15
28 May 2021 / 13.00-13.50 CEST
Bayesian approach to illness-death models for assessing the progression of recurrent hip fractures
Fran Llopis-Cardona, Health Services Research Unit (FISABIO) , Spain
Carmen Armero, Department of Statistics and Operational Research, Universitat de València, SpainGabriel Sanfélix-Gimeno, Health Services Research Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Spain
16
28 May 2021 / 13.00-13.50 CEST
Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity
Wei Zhang, Bocconi University, Italy
Michele Guindani, University of California, Irvine, USASonia Petrone, Bocconi University, Italy
Ivor Cribben, University of Alberta, Canada
