Aki Vehtari

Full Professor, Aalto University

Joined

June 2017

Names

Aki Vehtari

Emails

****@aalto.fi (Confirmed)

Personal Links

Career & Education History

Full Professor

Aalto University (aalto.fi)

2014 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Bayesian workflow

Present

Bayesian inference

Present

Bayesian model checking and selection

Present

Publications

Prior Knowledge Elicitation: The Past, Present, and Future
Petrus Mikkola, Osvaldo Martin, Suyog Chandramouli, Marcelo Hartmann, Oriol Abril Pla, Owen Thomas, Henri Pesonen, Jukka Corander, Aki Vehtari, Samuel Kaski, Paul-Christian Bürkner, Arto Klami
- Bayesian Analysis
- Readers: Everyone
Amortized Bayesian Workflow
Chengkun LI, Aki Vehtari, Paul-Christian Bürkner, Stefan T. Radev, Luigi Acerbi, Marvin Schmitt
- Accepted by TMLR
- Readers: Everyone
Raw signal segmentation for estimating RNA modification from Nanopore direct RNA sequencing data
Guangzhao Cheng, Aki Vehtari, Lu Cheng
- eLife
- Readers: Everyone
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
Måns Magnusson, Jakob Torgander, Paul-Christian Bürkner, Lu Zhang, Bob Carpenter, Aki Vehtari
- AISTATS 2025 Oral
- Readers: Everyone
Amortized Bayesian Workflow (Extended Abstract)
Marvin Schmitt, Chengkun LI, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner, Stefan T. Radev
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Efficient estimation and correction of selection-induced bias with order statistics
Yann McLatchie, Aki Vehtari
- Stat. Comput. 2024
- Readers: Everyone
Bayesian cross-validation by parallel Markov chain Monte Carlo
Alex Cooper, Aki Vehtari, Catherine Forbes, Daniel Simpson, Lauren Kennedy
- Stat. Comput. 2024
- Readers: Everyone
Detecting and diagnosing prior and likelihood sensitivity with power-scaling
Noa Kallioinen, Topi Paananen, Paul-Christian Bürkner, Aki Vehtari
- Stat. Comput. 2024
- Readers: Everyone
Predicting habitat suitability for Asian elephants in non-analog ecosystems with Bayesian models
Ryoko Noda, Michael Mechenich, Juha Saarinen, Aki Vehtari, Indre Zliobaite
- Ecol. Informatics 2024
- Readers: Everyone
A Framework for Improving the Reliability of Black-box Variational Inference
Manushi Welandawe, Michael Riis Andersen, Aki Vehtari, Jonathan H. Huggins
- J. Mach. Learn. Res. 2024
- Readers: Everyone

View all 109 publications

Co-Authors

View all 154 co-authors