BISP12 | 27-28 May 2021

Invited Talks

Ten presentations by young scientists have been scheduled, followed by an in-depth discussion by senior scholars in the field.

Abstracts of the invited talks are now available!

Video recordings of the invited talks and discussions during the live conference are also available! Scroll down the page

1

27 May 2021 / 14.00-14.40 CEST

Approximate Bayesian Conditional Copulas

Clara Grazian, University of New South Wales, Australia
Discussant: Maria Concepcion Ausin, Universidad Carlos III, Spain

2

27 May 2021 / 14.45-15.25 CEST

Bayesian Dynamic Fused LASSO

Kaoru Irie, University of Tokyo, Japan
Discussant: Sylvia Frühwirth-Schnatter, Vienna University of Economics and Business, Austria

3

27 May 2021 / 15.30-16.10 CEST

Multiscale Bayesian Survival Analysis

Stéphanie Van Der Pas , Amsterdam UMC, Netherlands
Discussant: Antonio Lijoi, Università Bocconi, Italy

4

27 May 2021 / 16.15-16.55 CEST

Bayesian Modeling of Power Outages and Their Consequences

Atilla Ay, George Washington University, United States
Discussant: Melike Baykal-Gursoy, Rutgers University, USA

5

27 May 2021 / 17.00-17.40 CEST

From viral evolution to spatial contagion: a biologically modulated Hawkes model

Andrew Holbrook, University of California, Los Angeles, United States
Discussant: Katja Ickstadt, Technical University Dortmund, Germany

6

28 May 2021 / 14.00-14.40 CEST

Bayesian Network Inference With Uncertain Evidence and Parameters

Paul Wu, Queensland University of Technology, Australia
Discussant: David Banks, Duke University, USA

7

28 May 2021 / 14.45-15.25 CEST

Bayesian forecasting dynamic models under attacks

Roi Naveiro, CSIC-ICMAT, Spain
Discussant: Mike West, Duke University, USA

8

28 May 2021 / 15.45-16.25 CEST

Quasi-stationary Monte Carlo methods via stochastic approximation

Andi Wang , University of Bristol, United Kingdom
Discussant: Giacomo Zanella, Università Bocconi, Italy

9

28 May 2021 / 16.30-17.10 CEST

Compositions of discrete random probabilities for inference on multiple samples

Giovanni Rebaudo, University of Texas at Austin, United States
Discussant: Bernardo Nipoti, Università di Milano-Bicocca, Italy

10

28 May 2021 / 17.15-17.55 CEST

Bayesian Conditional Auto-Regressive LASSO Models to Learn Sparse Networks with Predictors

Claudia Solis-Lemus, University of Wisconsin-Madison, United States
Discussant: Nicholas Polson, University of Chicago, USA

27 May 2021
  • 13.55-14.00 Opening
  • 14.00-14.40 Talk 1: Clara Grazian (Australia)
  • 14.45-15.25 Talk 2: Kaoru Irie (Japan)
  • 15.30-16.10 Talk 3: Stéphanie Van Der Pas (The Netherlands)
  • 16.15-16.55 Talk 4: Atilla Ay (USA)
  • 17.00-17.40 Talk 5: Andrew Holbrook (USA)
  • 17.45-18.35 Contributors
28 May 2021
  • 13.00-13.50 Contributors
  • 14.00-14.40 Talk 6: Paul Wu (Australia)
  • 14.45-15.25 Talk 7: Roi Naveiro (Spain)
  • 15.45-16.25 Talk 8: Andi Wang (UK)
  • 16.30-17.10 Talk 9: Giovanni Rebaudo (USA)
  • 17.15-17.55 Talk 10: Claudia Solis-Lemus (USA)
  • 18.00-18.05 Closing
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