Aki Vehtari
Scholar

Aki Vehtari

Google Scholar ID: tYgN0GsAAAAJ
Professor, Aalto University
Bayesian analysisBayesian statisticsGaussian processesProbabilistic programming
Citations & Impact
All-time
Citations
38,601
 
H-index
56
 
i10-index
128
 
Publications
20
 
Co-authors
43
list available
Resume (English only)
Academic Achievements
  • 1. 'Active Statistics' (2024), Cambridge University Press. Winner of the 2025 PROSE award in Mathematics and Statistics from The Association of American Publishers (AAP).
  • 2. 'Regression and other stories' (2020), Cambridge University Press.
  • 3. 'Bayesian Data Analysis', Third Edition (2013), Chapman and Hall/CRC. Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis (awarded to the author or authors of an outstanding published book in Statistical Science).
Research Experience
  • Professor in computational Bayesian modeling at Aalto University; Member of ELLIS Institute Finland; Member of FCAI - Finnish Center for Artificial Intelligence; Member of Bayesian Workflow Group.
Background
  • Research interests include Bayesian probability theory and methodology, Bayesian workflow, probabilistic programming, inference methods such as Laplace, EP, VB, MC, inference and model diagnostics, model assessment and selection, Gaussian processes, and hierarchical models.
Miscellany
  • Contact: Office: Konemiehentie 2, 3rd floor, A336; Postal address: P.O. Box 15400, FI-00076 AALTO, FINLAND; Email: Aki.Vehtari(at)aalto.fi; ORCID ID: 0000-0003-2164-9469; BlueSky: ‪@avehtari.bsky.social‬; Mastodon: bayes.club/@avehtari.