Senior Researcher, D.Sc. (Tech.), Adjunct Professor (docent) in Statistics
Aalto University (Helsinki University of Technology
was one of three universities merged to Aalto)
- School of Science
Department of Biomedical Engineering and Computational
- Office: Rakentajanaukio 2C, 3rd floor, F306
- Phone: +358 40 5333 747
- Email: Aki.Vehtari(at)aalto.fi
- Twitter: @avehtari
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
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
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
Jaakko Riihimäki and Aki Vehtari (2014). Laplace
approximation for logistic Gaussian process density
estimation and regression. Bayesian analysis, in press. Online 3 February, 2014.
Code available in GPstuff
Tomi Peltola, Pasi Jylänki and Aki Vehtari (2014). Expectation propagation for likelihoods depending on an inner product of two multivariate random variables. Journal of Machine Learning Research:
Workshop and Conference Proceedings (AISTATS 2014 Proceedings), 33:769-777. Online. Code.
Heikki Joensuu, Peter Reichardt, Mikael Eriksson, Kirsten
Sundby Hall and Aki Vehtari (2014). Gastrointestinal stromal
tumor: A method for optimizing the timing of CT scans in the
follow-up of cancer patients. Radiology, 271(1):96-106.
Online 18 November, 2013. Preprint of the statistical appendix. Related poster presented at The Third Workshop on Bayesian Inference for Latent Gaussian Models with Applications. Highlighted in "This Month in Radiology".
Pasi Jylänki, Aapo Nummenmaa and Aki Vehtari (2014). Expectation propagation for neural networks with sparsity-promoting priors. Journal of Machine
Learning Research, in press. Preprint arXiv:1303.6938.
Aki Vehtari, Karita Reijonsaari, Olli-Pekka
Kahilakoski, Markus V. Paananen, Willem van Mechelen, and Simo
Taimela (2014). The influence of selective participation in a
physical activity intervention on the generalizability of
findings. Journal of Occupational and Environmental
13 January 2014
Jarmo Rantonen, Aki Vehtari, Jaro Karppinen, Satu Luoto, Eira
Viikari-Juntura, Markku Hupli, Antti Malmivaara and Simo Taimela
(2014). Face-to-face information in addition to a booklet
versus a booklet alone for treating mild back pain, a
randomized controlled trial. Scandinavian journal of Work
Environment & Health, 40(2):156-166. Online 2 November, 2013.
- Andrew Gelman, Jessica Hwang and Aki Vehtari
(2013). Understanding predictive information criteria for
Bayesian models. Statistics and Computing, in press.
Online 20 August, 2013. Preprint.
- Mari Myllymäki, Aila Särkkä and Aki Vehtari
(2013). Hierarchical second-order analysis of replicated spatial
point patterns with non-spatial covariates. Spatial Statistics, in press. Online 13 August, 2013. doi:10.1016/j.spasta.2013.07.006. Preprint.
- Jarno Vanhatalo,
Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville
Tolvanen and Aki Vehtari (2013). GPstuff: Bayesian
modeling with Gaussian processes. Journal of Machine
Learning Research, 14(Apr):1175-1179. Online. Software homepage.
- Jaakko Riihimäki,
Pasi Jylänki and Aki Vehtari (2013). Nested expectation
propagation for Gaussian process classification with a
multinomial probit likelihood. Journal of Machine
Learning Research, 14(Jan):75-109. Online.
Code available in GPstuff
- Aki Vehtari and Janne Ojanen (2012). A survey of Bayesian predictive methods for model
assessment, selection and comparison. Statistics Surveys, 6:142-228. Online. Errata was published in Statistics Surveys, 8 (2014), 1-1.
Last modified: 2014-04-24