Confirmed speakers at Invited Sessions

Causal inference in complex data structures

Organiser: Niklas Pfister (University of Copenhagen)

Speakers:

Shuangning Li (Harvard University)

Nicola Gnecco (University of Copenhagen)

Dominik Rothenhäusler (Stanford University)

Computationally intensive methods in biostatistics

Organiser: Rebecka Jörnsten (Chalmers and University of Gothenburg)

Speakers:

Eszter Lakatos (Chalmers and University of Gothenburg)

Magnus Neuman (Umeå University)

Mattias Rantalainen (Karolinska Institutet)

Functional Data Analysis

Organiser: Helle Sørensen (University of Copenhagen)

Speakers:

Vaidotas Characiejus (University of Southern Denmark)

Alessia Pini (Catholic University of Milan)

Anton Rask Lundborg (University of Copenhagen)

Gaussian processes on networks and graphs

Organiser: David Bolin (King Abdullah University of Science and Technology)

Speakers:

Jesper Møller (Aalborg University)

Joel Oskarsson (Linköping University)

Alexandre B. Simas (King Abdullah University of Science and Technology)

Heavy tails / Extreme values

Organiser: Thomas Mikosch (University of Copenhagen)

Speakers:

Holger Rootzén (Chalmers and University of Gothenburg)

Kirstin Strokorb (Cardiff University)

Chen Zhou (Erasmus University of Rotterdam)

Learning for stochastic differential equation models

Organiser: Moritz Schauer (Chalmers and University of Gothenburg)

Speakers:

Frank van der Meulen (VU Amsterdam),

Stefan Sommer (University of Copenhagen)

Frank Schäfer (MIT)

Likelihood-free inference

Organiser: Michael Gutmann (University of Edinburgh)

Speakers:

Luigi Acerbi (University of Helsinki)

Solveig Engebretsen (Norwegian Computing Centre)

Dennis Prangle (University of Bristol)

Multivariate Statistics

Organiser: Dietrich von Rosen (Swedish University of Agricultural Sciences)

Speakers:

Stepan Mazur (Örebro and Linnaeus University)

Krzysztof Podgórski (Lund University)

Katarzyna Filipiak (Poznań University of Technology)

Kristi Kuljus (University of Tartu)

Percolation and related topics

Organiser: Jeff Steif (Chalmers and University of Gothenburg)

Speakers:

Daniel Ahlberg (Stockholm University)

Erik Broman (Chalmers and University of Gothenburg)

Nina Gantert (Technical University Munich)

Probabilistic machine learning and AI

Organiser: Jes Frellsen (Danish Technical University)

Speakers:

Judith Bütepage (Electronic Arts)

Fredrik Lindsten (Linköping University)

Pierre-Alexandre Mattei (Inria)

Random graphs and related topics

Organiser: Mindaugas Bloznelis (Vilnius University)

Speakers:

Svante Janson (Uppsala University)

Matas Šileikis (Czech Academy of Sciences)

Tatyana Turova (Lund University)

Random matrices

Organiser: Kevin Schnelli (KTH Royal Institute of Technology)

Speakers:

Taras Bodnar (Stockholm University)

Antoine Maillard (ETH Zurich)

Alexei Onatskiy (University of Cambridge)

Reinforcement learning

Organiser: Alexandre Proutiere (KTH Royal Institute of Technology)

Speakers:

Christos Dimitrakakis (Chalmers University of Technology)

Yassir Jedra (KTH Royal Institute of Technology / MIT)

Sadegh Talebi (Copenhagen University)

Spatial point processes – modelling, estimation, and prediction

Organiser: Aila Särkkä (Chalmers and University of Gothenburg)

Speakers:

Tuomas Rajala (Natural Resources Institute Finland)

Jakob Gulddahl Rasmussen (Aalborg University)

Thordis Thorarinsdottir (Norwegian Computing Center)

Statistical modelling of infectious disease outbreaks

Organiser: Tom Britton (Stockholm University)

Speakers:

Felix Gunther (Stockholm University)

Ganna Rozhnova (Utrecht University)

Geir Storvik (University of Oslo)

Stochastic differential equations

Organiser: Stefan Geiss (University of Jyväskylä)

Speakers:

Jean-François Chassagneux (Université Paris Cité)

Thuan Nguyen (Saarland University)

Mark Podolskij (University of Luxembourg and Aarhus University)

Stochastic Finance

Organiser: Henrik Hult (KTH Royal Institute of Technology)

Speakers:

Giulia Di Nunno (Oslo University)

Sigrid Källblad Nordin (KTH Royal Institute of Technology)

Teemu Pennanen (King’s College London)

Stochastic models for evolution

Organiser: Jüri Lember, (Tartu University)

Speakers:

Daniela Bertacchi (University of Milano-Bicocca)

Asger Hobolth (Aarhus University)

Anton Wakolbinger (Goethe-Universtität Frankfurt)

SECRETARIAT

Sweden MEETX has been contracted to manage the conference secretariat. If you have any questions or need any further information you are most welcome to contact:

nordstat2023@meetx.se
Tel: +46 31 708 86 90

Postal address
Sweden Meetx AB
NORDSTAT 2023
412 94 Göteborg

IMPORTANT DATES

– 30 March: deadline for abstracts submission

– 14 April: acceptance notification for abstracts contributors.

– 23 April: early-bird deadline for registration, afterwards the “Late
fees” apply.

– 15 May is the last day to register for the conference

– 19 June: the conference starts.

CONFERENCE HOST

nordstat2023@chalmers.se