Aki Vehtari

Associate professor (computational science, probabilistic modeling), D.Sc. (Tech.)

Aalto University
School of Science
Department of Biomedical Engineering and Computational Science (BECS)

Office: Rakentajanaukio 2C, 3rd floor, F306
Phone: +358 40 5333 747
Email: Aki.Vehtari(at)aalto.fi
Twitter: @avehtari

Research Activities

I'm leader of the Bayesian methodology group at BECS. Most of our current and past projects are listed in Bayes group's research page, but since we are so busy doing new research, some recent projects may be missing from there.

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.

I'm currently working on 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.

GPstuff - Gaussian process models for Bayesian analysis

Full list of my publications

Recent publications


Last modified: 2014-04-24