Statistics seminar - past meetings

Past meetings

03-05-2021 | Richard Gill
How to gamble if you must: the d’Alembert system

26-04-2021 | Maria Quelhas
Multiple imputation for survival analysis with missing data and a cure fraction

19-04-2021 | Vera Arntzen
Estimation of incubation and latency time distributions of Covid-19

12-04-2021 | Valentina Masarotto
Optimal transport meets linguistics

29-03-2021 | Solomiia Kurchaba
Automatic ship plume detection with S5P – TROPOMI satellite data

08-03-2021 | Thijs Bos
Multi-classification and deep neural networks

01-03-2021 | Marta Spreafico
Modelling longitudinal latent toxicity profiles evolution in osteosarcoma patients

22-02-2021 | Bart Eggen
Bayesian Sensitivity Analysis for Causal Inference

15-02-2021 | Laura Zwep

01-02-2021 | Geerten Koers
(Non)-parametric studies of the Schrödinger equation

18-01-2021 | Lasse Vuursteen
The role of shared randomness in distributed hypothesis testing

11-01-2021 | Richard Gill
Steve Gull’s challenge
An impossible Monte Carlo simulation project in distributed computing

14-12-2020 | Johannes Schmidt-Hieber
Overparametrization and the bias-variance dilemma

07-12-2020 | George Kantidakis
Prediction models in bone sarcoma – a simulation study to compare Cox models with survival neural networks

30-11-2020 | Jacqueline Meulman
Regularized Optimal Scaling Regression

23-11-2020 | Stefan Franssen
Frequentist coverage of empirical Bayesian uncertainty quantification using Deep Neural Network regression in Besov spaces

16-11-2020 | Peter Grünwald
E is the New P: Tests that are safe under optional stopping, with an application to time-to-event data

09-11-2020 | Rianne de Heide
Safe Testing

02-11-2020 | Sanne Willems
Variability in the interpretation of probability phrases used in Dutch news articles - a risk for miscommunication

19-10-2020 | Richard Gill
Two small-data n « p case studies: Hydroxychloroquine cocktail for early COVID-19 infection; Marseilles and Meijel

12-10-2020 | Amine Hadji
Uncertainty quantification using Gaussian Process with squared exponential kernel

05-10-2020 | Elena Sellentin
Generation and Analysis of non-Gaussian random fields in astronomy

28-09-2020 | Marta Fiocco
Performance indicators for survival outcome

21-09-2020 | Vera Arntzen
Weighted Cox methods to correct for ascertainment bias

14-09-2020 | Thomas Nagler
Stationary vine copula models for multivariate time series

07-09-2020 | Jeanne Nguyen
Pros and cons of the greedy CDRodeo algorithm

29-06-2020 | Maarten Kampert
Improved Strategies for Clustering Objects on Subsets of Attributes

15-06-2020 | Willem Heiser

08-06-2020 | Valentina Masarotto When data are continuous : geometry and inference on covariance operators

25-05-2020 | Laura Zwep
Cancer Treatment Efficacy: Mechanistic modelling in high-dimensional setting

18-05-2020 | Bart Eggen
Mathematical statistical theory for causal inference

11-05-2020 | Lasse Vuursteen
Distributed nonparametric hypothesis testing with (very) limited communication

20-04-2020 | Geerten Koers Statistical challenges in modern day astronomy

06-04-2020 | Rianne de Heide
Bayesian best-arm identification

30-03-2020 | Dirk van der Hoeven
Adaptive methods in online learning.

02-03-2020 | Tim van Erven
The many faces of exponential weights in online learning.

24-02-2020 | Botond Szabó
Variational Bayes for high-dimensional linear regression with sparse priors.

17-02-2020 | Magnus Münch
Predicting drug sensitivity from cell lines informed by external data.

10-02-2020 | Aad van der Vaart Tolerance regions.

03-02-2020 | Stefan Franssen
The Bernstein-Von Mises theorem for the Pitman-Yor process.

27-01-2020 | Amine Hadji
Distributed methods for Bayesian regression: contraction rate & uncertainty quantification.

20-01-2020 | Marta Fiocco
Marginal structural models with joint-exposure for counterfactual histological response.

13-01-2020 | Magnus Münch

09-12-2019 | Richard Gill
Lies, damned lies, and statistics. The case of Ben Geen. An English Lucia de B. New data, new insights.

02-12-2019 | Kevin Duisters
On frequentist coverage of Bayesian credible sets for estimation of the mean under constraints.

25-11-2019 | Peter Grünwald
Safe statistics.

18-11-2019 | Anja Rüten-Budde
Assessment of predictive accuracy of an intermittently observed binary time-dependent marker.

04-11-2019 | Thomas Nagler
Vine copula models – past, present, and future.

28-10-2019 | Jeanne Nguyen
CDRodeo: Greedy selection of multivariate bandwidths for kernel conditional density estimation.