Program
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Thursday, October 20, 2022 ›
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09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
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›9:00 (30min)
James Berger
The Empirical Error of P-values, E-values and Objective posterior probabilities
›9:30 (30min)
Eric-Jan Wagenmakers
Approximate objective Bayes factors from p-Values and sample size: The 3p \sqrt{n} rule
›11:00 (30min)
Pierre Latouche
Bayesian Statistics, AI, and networks for the analysis of the last French presidential election
›11:30 (30min)
Nial Friel
Bayesian approaches for zero-inflated weighted networks
›12:00 (30min)
Sophie Donnet
Bayesian inference for a Poisson Stochastic Blockmodel for weighted social networks
›14:00 (30min)
Robin Ryder
Bayesian methods for Historical Linguistics
›14:30 (30min)
Zita Oravecz
Bayesian inference for dynamical models of emotion
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