Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
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Session Overview
Location: Collegezaal B
Aula Congrescentrum Mekelweg 5 2628 CC Delft
Date: Wednesday, 13/Mar/2024
3:40pm
-
5:45pm
Econometrics
Location: Collegezaal B
Chair: Julia Schaumburg
 
3:40pm - 4:05pm

Interactive Effects of Temperature and Precipitation on Global Economic Growth

Hande Karabiyik, Thomas Leirvik, Menghan Yuan



4:05pm - 4:30pm

Recovering latent linkage structures and spillover effects with structural breaks in panel data models

Ryo Okui, Wendun Wang, Yutao Sun



4:30pm - 4:55pm

Joint Modeling and Estimation of Global and Local Cross-Sectional Dependence in Panel Data Sets

Julia Schaumburg, Quint Wiersma, Siem Jan Koopman



4:55pm - 5:20pm

Age-specific transmission dynamics of SARS-CoV-2 during the first two years of the pandemic

Otilia Boldea, Amir Alipoor, Sen Pei, Jeffrey Shaman, Ganna Rozhnova



5:20pm - 5:45pm

Plausible GMM via Avenue Bayes

Victor Chernozhukov, Christian B. Hansen, Lingwei Kong, Weining Wang

Date: Thursday, 14/Mar/2024
9:00am
-
10:00am
Plenary Talk: Ingrid Van Keilegom
Location: Collegezaal B
Chair: Fabian Mies
 
9:00am - 10:00am

Tests of exogeneity in proportional hazards models with censored data

Gilles Crommen, Jean-Pierre Florens, Ingrid Van Keilegom

10:30am
-
12:10pm
Statistical Learning
Location: Collegezaal B
Chair: Johannes Lederer
 
10:30am - 10:55am

Modern Extremes: Methods, Theories, and Algorithms

Johannes Lederer



10:55am - 11:20am

Image classification: A new statistical viewpoint

Sophie Langer



11:20am - 11:45am

Dropout Regularization Versus \ell_2-Penalization in the Linear Model

Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber



11:45am - 12:10pm

Inference on derivatives of high dimensional regression function with deep neural network(NN)

Weining Wang

1:10pm
-
2:50pm
Bayesian Nonparametrics
Location: Collegezaal B
Chair: Aad van der Vaart
 
1:10pm - 2:00pm

Likelihood-based methods for low frequency diffusion data

Sven Wang, Matteo Giordano



2:00pm - 2:25pm

Statistical guarantees for stochastic Metropolis-Hastings

Sebastian Bieringer, Gregor Kasieczka, Maximilian F. Steffen, Mathias Trabs



2:25pm - 2:50pm

The Bernstein-von Mises theorem for semiparametric mixtures

Stefan Franssen, Jeanne Nguyen, Aad van der Vaart

3:20pm
-
4:20pm
Plenary Talk: Fabrizio Ruggeri
Location: Collegezaal B
Chair: Nestor Parolya
 
3:20pm - 4:20pm

Advances in Adversarial Risk Analysis

Fabrizio Ruggeri

4:30pm
-
6:10pm
Statistical Learning
Location: Collegezaal B
Chair: Johannes Lederer
 
4:30pm - 4:55pm

Inference via robust optimal transportation: theory and methods

Davide La Vecchia, Hang Liu, Matthieu Lerasle, Yiming Ma



4:55pm - 5:20pm

Inference for topological data analysis

Wolfgang Polonik, Johannes Krebs, Benjamin Roycraft



5:20pm - 5:45pm

Multi-study learning approaches

Roberta De Vito


 
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