Aki Vehtari

Associate professor in computational science (focus on probabilistic modeling) at Aalto University
Visiting professor at Technical University of Denmark (DTU)
Member of Helsinki Institute for Information Technology HIIT
Aalto University
School of Science
Department of Computer Science
+ Helsinki Institute for Information Technology HIIT

Office: Konemiehentie 2, 3rd floor, A314
Phone: +358 40 5333 747
Email: Aki.Vehtari(at)aalto.fi
Twitter: @avehtari

Research Activities

My research interests are Bayesian probability theory and methodology, especially inference methods such as Laplace, EP, VB, MC, model assessment and selection, non-parametric models such as Gaussian processes, dynamic models, and hierarchical models. Applications include brain signal analysis (MEG, fMRI, InI-fMRI ), cancer survival analysis, public and occupational health care data analysis, spatio-temporal epidemiology and large predator population structure and size estimation.

BDA3: Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari and Donald B. Rubin (2013). Bayesian Data Analysis, Third Edition. Chapman and Hall/CRC. Publisher's webpage for the book. Home page for the book.

My blog postings

GPstuff - Gaussian process models for Bayesian analysis (software)

Full list of my publications

Recent publications

Teaching

Group

Doctoral students: Olli-Pekka Koistinen, Juho Piironen, Tuomas Sivula, Arno Solin*, Juho Kokkala*
* Supervised by Simo Särkkä

Past members: Simo Särkkä, Mari Myllymäki, Tomi Peltola, Ville Tolvanen, Jukka Koskenranta, Tommi Mononen, Pasi Jylänki, Janne Ojanen, Jaakko Riihimäki, Max Hurme, Eero Pennala, Heikki Peura, Pekka Marttinen, Jouni Hartikainen, Ville Pietiläinen, Jarno Vanhatalo, Aki Havulinna, Eli Parviainen, Saara Suikkanen, Olli-Pekka Kahilakoski, Matleena Kukkonen, Sasu Mäkelä, Roberto Calandra, Ernesto Ulloa, Enrique Lelo de Larrea Andrade, Tuomas Nikoskinen, Ville Pietiläinen, Markus Siivola


Last modified: 2015-05-02