Aki Vehtari

Academy Professor

T313 Dept. Computer Science

I work on the integration of computer science and Bayesian statistics, making fundamental contributions 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. I'm the leader of the Bayesian workflow group.

Full researcher profile

https://research.aalto.fi/...

E-post

aki.vehtari@aalto.fi

Telefonnummer

+358405333747

Kompetensområde

Bayesian modeling, Statistical analysis, Epidemiology, Brain signal analysis, Machine learning

Utmärkelser

Youden Award in Interlaboratory Testing from the American Statistical Association

Youden Award in Interlaboratory Testing from the American Statistical Association awarded to paper Sebastian Weber, Andrew Gelman, Daniel Lee, Michael Betancourt, Aki Vehtari, and Amy Racine-Poon (2018). Bayesian aggregation of average data: An application in drug development. Annals of Applied Statistics, 12(3):1583-1604.

Palkinto tai huomionosoitus tuotoksesta Tietotekniikan laitos Jan 2020

Member of the winning team (Särkkä, Vehtari & Lampinen) in Time Series Prediction Competition - The CATS Benchmark 2004

Sijoittuminen kilpailussa tai osallistuminen kutsukilpailuun Tietotekniikan laitos Jan 2004

2016 De Groot Prize

The DeGroot Prize, in honor of Morris H ("Morrie" DeGroot, is awarded to the author or authors of an outstanding published book in Statistical Science

Palkinto tai huomionosoitus tuotoksesta Tietotekniikan laitos Jun 2016

Forskningsgrupp

Computer Science Professors, Akatemiaprofessori
Computer Science RA - Machine learning, Data science and AI, Akatemiaprofessori
Professorship Vehtari Aki, Akatemiaprofessori
Probabilistic Machine Learning, Akatemiaprofessori