Department of Mathematics and Systems Analysis

Research groups

Aalto Stochastics and Statistics Seminar

Aalto Stochastics and Statistics Seminar is organized by Kalle Kytölä, Lasse Leskelä, and Pauliina Ilmonen. Feel free to contact one of us if you are interested in giving a talk. You may also earn credit points by active participation.

  • Join to receive seminar announcements and stay updated on probability and statistics in Aalto University

Recent and upcoming talks

  • 24.11.2020 16:00  Dr Jeta Molla (Aalto University): Numerical methods for the stochastic wave equation (further info) –

    The objective of this talk is to propose a full discretization for the stochastic wave equation. More specifically, the discontinuous Galerkin finite element method is used in space and analyzed in a semigroup framework, and an explicit stochastic position Verlet scheme is used for the temporal approximation. Numerical experiments illustrate our theoretical results on strong convergence rates. Further, we analyze and bound the expected energy and numerically show excellent agreement with the energy of the exact solution. Join Zoom Meeting Meeting ID: 689 1125 9210

  • 31.8.2020 15:45  Kalle Kytölä: Euler integrals and a quantum group –
  • 31.8.2020 15:00  Shinji Koshida: Point processes and fermionic algebras –
  • 31.8.2020 14:15  Eveliina Peltola: On large deviations of multiple SLEs –
  • 31.8.2020 13:30  Konstantin Izyurov: Asymptotics of determinants of discrete Laplacians –
  • 31.8.2020 11:45  Tuomas Tuukkanen: Probabilistic Liouville conformal field theory –
  • 31.8.2020 11:00  Osama Abuzaid: TBA –
  • 31.8.2020 10:00  Nerissa Shakespeare: Äärellisistä heijastusryhmistä (kandiesitelmä) –
  • 25.6.2020 15:00  Dr Mikhail Shubin (THL): Fitting SEIR models to COVID wave in Finland: Lessons and open questions (further info) – Teams

    The seminar is intended for epidemiological modellers. I will present a set SEIR models used by THL to model the COVID outbreak in Finland. I will analyse particular model features, discussing whatever they there useful for inference. I will describe different questions which we tried to answer with these models, and wherever modelling was able to provide useful insight. For any questions, contact Mikhail (

  • 11.6.2020 10:15  Alex Karrila (IHÉS, Paris): Delocalization of the six-vertex height function –

    The six-vertex model is a planar random model for the crystalline structure of water ice. It has recently given important insights to the connection of Conformal field theory and critical 2D random models, due to its natural representation as a random field, called the height function, and due to couplings to several other important random models (e.g. FK cluster model, Ising and Potts models, dimers, random graph homomorphisms) We prove that the six-vertex height function has a localization/delocalization phase transition. Delocalization means roughly speaking that the model is not sensitive to a boundary condition far away; indeed our result for instance implies that there exists a unique whole-plane six-vertex model in the delocalized phase. The main tools of the proof are an explicit solution of the free energy of the model, and RSW and FKG inequalities similar as in the study of various percolation models. (Based on ongoing work with Hugo Duminil-Copin, Ioan Manolescu, and Mendes Oulamara.) Zoom-link:

Past seminars

Page content by: webmaster-math [at] list [dot] aalto [dot] fi