Wednesday, October 12, 2016
09:00 - 09:15 Welcome Words
09:15 - 10:00 Steffen Lauritzen
Total positivity and Markov structures
10:00 - 10:45 Peter Green
Bayesian inference with and about decomposable models
10:45 - 11:15 Coffee Break
11:15 - 12:00 John Einmahl
A continuous updating weighted least squares estimator of tail
dependence in high dimensions
12:00 - 12:45 Johan Segers
Regularly varying Markov trees
12:45 - 14:00 Lunch Break
14:00 - 14:45 Claudia Klüppelberg
Max-linear models on graphs
14:45 - 15:30 Nadine Gissibl
Estimation of max-linear models on directed acyclic graphs
15:30 - 16:00 Coffee Break
16:00 - 16:45 Bernhard Schölkopf
Toward causal machine learning
16:45 - 17:30 Jonas Peters
Invariances and causality
17:30 - 20:00 Poster Session with drinks and snacks
(Location: Faculty of Mathematics, ground floor, room 00.10.011)
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Thursday, October 13, 2016
09:00 - 09:45 Adrien Hitz
Graphical modelling of extremes
09:45 - 10:30 Sven Buhl
Semiparametric estimation for max-stable space-time processes
10:30 - 11:00 Coffee Break
11:00 - 11:45 Bernd Sturmfels
Convexity in tree spaces
11:45 - 12:30 Caroline Uhler
Learning DAGs based on sparsest permutations
12:30 - 14:00 Lunch Break
14:00 - 14:45 Sebastian Engelke
Extremes on River Networks
14:45 - 15:30 Holger Rootzén
Multivariate GP distributions: portfolio risk estimation, prediction of flu
epidemics, spatial rainfall modelling
15:30 - 16:00 Coffee Break
16:00 - 16:45 Nanny Wermuth
On palindromic Ising models with graph structure
16:45 - 17:30 Daniel Straub
Conditional independence in risk analysis of engineered systems
18:00 - open end Conference Dinner
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Friday, October 14, 2016
09:00 - 09:45 Piotr Zwiernik
The correlation space of Gaussian latent treemodels and model selection
without fitting
09:45 - 10:30 Alberto Roverato
Path weights, networked partial correlations and their application to the
analysis of genetic interactions
10:30 - 11:00 Coffee Break
11:00 - 11:45 Philippe Naveau
Detecting changes in climate records
11:45 - 12:30 Richard Davis
Applications of distance correlation to time series
12:30 - 14:00 Lunch