Please notice that the list below is subject to changes. The time for the seminar is 14.15 and the location is seminar room MV:F21, Skeppsgränd 3, unless otherwise noted.

**2020**

10/11, Peter Jagers and Sergey Zuyev, Chalmers: Galton was right: all populations die out. Abstract

17/11, Samuel Wiqvist, Lund University: TBA

1/12, Umberto Simola, University of Helsinki: TBA

8/12, Magnus Röding, Chalmers and RISE

15/12, Mattias Villani, Linköping and Stockholm University: TBA

**Past seminars this year:**4/2, Aleksej Zelezniak, Chalmers: Uncovering genotype-phenotype relationships using artificial intelligence. Abstract

11/2, Henrik Imberg, Chalmers: Optimal sampling in unbiased active learning. Abstract

Seminars of 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 201111/2, Henrik Imberg, Chalmers: Optimal sampling in unbiased active learning. Abstract

18/2, Ottmar Cronie, Department of Public Health and Community Medicine, University of Gothenburg, and Department of Mathematics and Mathematical Statistics, Umeå University: Resample-smoothing and its application to Voronoi estimators. Abstract

10/3, Nikolaos Kourentzes, University of Skövde: Predicting with hierarchies. Abstract

17/3, Mike Pereira, Chalmers: A matrix-free approach to deal with non-stationary Gaussian random fields in geostatistical applications. Abstract

21/4, Rasmus Pedersen, Roskilde Universitet: Modelling Hematopoietic Stem Cells and their Interaction with the Bone Marrow Micro-Environment. Abstract

28/4, András Bálint, Chalmers: Mathematical methods in the analysis of traffic safety data. Abstract

16/6, Moritz Schauer, Chalmers: Trait evolution on phylogenetic trees: inference with guided Markov processes

23/6, Chris Drovandi, Queensland University of Technology, Australia: Accelerating sequential Monte Carlo with surrogate likelihoods. Abstract

6/10, Botond Szabo, University of Leiden: Variational Bayes for high-dimensional model selection

13/10, Raphaël Huser, KAUST: Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model. Abstract

20/10, Luigi Acerbi, University of Helsinki: Practical sample-efficient Bayesian inference for models with and without likelihoods. Abstract

23/6, Chris Drovandi, Queensland University of Technology, Australia: Accelerating sequential Monte Carlo with surrogate likelihoods. Abstract

6/10, Botond Szabo, University of Leiden: Variational Bayes for high-dimensional model selection

13/10, Raphaël Huser, KAUST: Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model. Abstract

20/10, Luigi Acerbi, University of Helsinki: Practical sample-efficient Bayesian inference for models with and without likelihoods. Abstract

27/10, Stéphanie van der Pas, Leiden University: Multiscale Bayesian survival analysis