Research

I am broadly interested in computational statistics and applied probability. My current research projects are focused around Monte Carlo methods.

• Publications (including pre/post-prints)
• Research software
• Google Scholar, arXiv, GitHub, Bluesky, Mastodon, LinkedIn, (Twitter), MathSciNet, ORCID, ResearcherID and Scopus profiles
• Computational statistics and simulation methods research group
  • I am also associated with the Stochastic Analysis and SDEs group.
• I am a group leader in the Finnish Centre of Excellence in Randomness and Structures (FiRST) (2022–2026(2029), Academy of Finland)
• I am a member of the Finnish Doctoral Education Network in Stochastics and Statistics, European Laboratory for Learning and Intelligent Systems, Finnish Statistical Society, Finnish Biostatistical Society and Finnish Inverse Problems Society
• I am in the editorial boards of Journal of Computational and Graphical Statistics and Statistics and Computing

Upcoming events

• BayesComp 2025, 16–20 Jun 2025, National University of Singapore
• Bayesian Learning of Very High-Dimensional Physical Process Models, 25 Jun–4 Jul, MATRIX institute, Creswick

Teaching (2024–2025)

• Teaching block 1: TILA2700 Further probability
• Teaching block 2: TILA141 Statistical inference 1
• Teaching block 4: TILS691 Time series analysis

Contact

• E-mail: matti.s.vihola     at jyu dot   fi
• Tel: +358 (0) 40 805 3448
• Mailing address:
  Department of Mathematics and Statistics
  P.O.Box 35
  FI-40014 University of Jyväskylä
  Finland