Aki Vehtari
Professor
              
            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.
Full researcher profile
                
              E-post
                aki.vehtari@aalto.fi
              Telefonnummer
                +358405333747
              °´Ç³¾±è±ð³Ù±ð²Ô²õ´Ç³¾°ùÃ¥»å±ð
              Bayesian modeling, Statistical analysis, Epidemiology, Brain signal analysis, Machine learning
            
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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, Professori
- Computer Science - Artificial Intelligence and Machine Learning (AIML), Professori
- Probabilistic Machine Learning, Professori
- Professorship Vehtari Aki, Professori
- Helsinki Institute for Information Technology (HIIT), Professori
Publikationer
            
        Guangzhao Cheng, Aki Vehtari, Lu Cheng
      
              
        2025
      
                  
        eLife
      
      
            
        Kunal Ghosh, Milica Todorovic, Aki Vehtari, Patrick Rinke
      
              
        2025
      
                  
        Journal of Chemical Physics
      
      
            
        Måns Magnusson, Jakob Torgander, Paul Christian Bürkner, Lu Zhang, Bob Carpenter, Aki Vehtari
      
              
        2025
      
              
        Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
      
          
            
        Yann McLatchie, Sölvi Rögnvaldsson, Frank Weber, Aki Vehtari
      
              
        2025
      
                  
        Statistical Science
      
      
            
        Sh Salimi, A. Vehtari, M. Salive, M. Kaeberlein, D. Raftery, L. Ferrucci
      
              
        2025
      
                  
        Nature Communications
      
      
            
        Christopher Tosh, Philip Greengard, Ben Goodrich, Andrew Gelman, Aki Vehtari, Daniel Hsu
      
              
        2025
      
                  
        Notices of the American Mathematical Society
      
      
            
        Alex Cooper, Aki Vehtari, Catherine Forbes, Dan Simpson, Lauren Kennedy
      
              
        2024
      
                  
        STATISTICS AND COMPUTING
      
      
            
        Alex Cooper, Dan Simpson, Lauren Kennedy, Catherine Forbes, Aki Vehtari
      
              
        2024
      
                  
        Bayesian Analysis
      
      
            
        Andrew Gelman, Aki Vehtari
      
              
        2024
      
              
            
        Noa Kallioinen, Topi Paananen, Paul Christian Bürkner, Aki Vehtari
      
              
        2024
      
                  
        STATISTICS AND COMPUTING
      
      
 
           
           
           
           
           
          