Aki Vehtari

Cited by

	All	Since 2018
Citations	55579	28649
h-index	52	43
i10-index	130	108

7000

3500

1750

5250

19981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023196 245 381 404 462 551 648 859 982 1219 1342 1423 1586 1647 1814 1984 2241 2497 2609 3187 3657 4189 5022 6250 6576 2890

Public access

View all

65 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
Jouko LampinenAalto UniversityVerified email at aalto.fi
Jonah GabryColumbia UniversityVerified email at columbia.edu
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
Daniel SimpsonMonash UniversityVerified email at monash.edu
John B. CarlinMurdoch Childrens Research Institute, University of MelbourneVerified email at mcri.edu.au
Hal SternProfessor of Statistics, University of California, IrvineVerified email at uci.edu
Paul-Christian BuerknerJunior Research Group Leader, Cluster of Excellence SimTech, University of Stuttgart, GermanyVerified email at simtech.uni-stuttgart.de
Donald B RubinYCMS Tsinghua; Senior Research Fellow at Fox / Temple U, Emeritus at Harvard UVerified email at temple.edu
Juho PiironenLead scientist, Ph.D., Top Data Science companyVerified email at topdatascience.com
Yuling YaoFlatiron InstituteVerified email at flatironinstitute.org
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
Jarno VanhataloAssociate professor, University of HelsinkiVerified email at helsinki.fi
Michael Riis AndersenAssociate professor, Technical University of DenmarkVerified email at dtu.dk
Toni AuranenStaff Scientist, Aalto NeuroImaging, Aalto UniversityVerified email at aalto.fi
Måns MagnussonDepartment of Statistics, Uppsala University, SwedenVerified email at statistik.uu.se
Iiro P JaaskelainenFull Professor of Systems Neuroscience in Aalto University, Espoo, FinlandVerified email at aalto.fi
Mikko SamsProfessor of Cognitive Neuroscience, Aalto UniversityVerified email at aalto.fi
Matti HamalainenAalto UniversityVerified email at aalto.fi
Bob CarpenterFlatiron Institute, Center for Computational MathematicsVerified email at flatironinstitute.org

Aki Vehtari

Associate Professor, Aalto University

Verified email at aalto.fi - Homepage

Bayesian analysis Bayesian statistics Bayesian workflow Gaussian processes


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bayesian data analysis, 3rd edition A Gelman, JB Carlin, HS Stern, DB Dunson, A Vehtari, DB Rubin Chapman and Hall/CRC, 2013	36195*	2013
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC A Vehtari, A Gelman, J Gabry Statistics and computing 27, 1413-1432, 2017	3713	2017
Understanding predictive information criteria for Bayesian models A Gelman, J Hwang, A Vehtari Statistics and computing 24 (6), 997-1016, 2014	1920	2014
One vs three years of adjuvant imatinib for operable gastrointestinal stromal tumor: a randomized trial H Joensuu, M Eriksson, KS Hall, JT Hartmann, D Pink, J Schütte, ... Jama 307 (12), 1265-1272, 2012	1089	2012
Risk of recurrence of gastrointestinal stromal tumour after surgery: an analysis of pooled population-based cohorts H Joensuu, A Vehtari, J Riihimäki, T Nishida, SE Steigen, P Brabec, ... The lancet oncology 13 (3), 265-274, 2012	967	2012
Rank-normalization, folding, and localization: An improved ̂R for assessing convergence of MCMC A Vehtari, A Gelman, D Simpson, B Carpenter, PC Bürkner Bayesian analysis 16 (2), 667-718, 2021	727	2021
Visualization in Bayesian workflow J Gabry, D Simpson, A Vehtari, M Betancourt, A Gelman Journal of the Royal Statistical Society Series A, 2017	673	2017
R-squared for Bayesian regression models A Gelman, B Goodrich, J Gabry, A Vehtari The American Statistician 73 (3), 307-309, 2019	571	2019
loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models A Vehtari, J Gabry, M Magnusson, Y Yao, P Bürkner, T Paananen, ... R package version 2 (0), 1003, 2018	563	2018
Using stacking to average Bayesian predictive distributions Y Yao, A Vehtari, D Simpson, A Gelman Bayesian Analysis 13 (3), 917-1003, 2018	440*	2018
Bayesian approach for neural networks—review and case studies J Lampinen, A Vehtari Neural networks 14 (3), 257-274, 2001	398	2001
A survey of Bayesian predictive methods for model assessment, selection and comparison A Vehtari, J Ojanen Statistics Surveys 6, 142-228, 2012	378	2012
Rao-Blackwellized particle filter for multiple target tracking S Särkkä, A Vehtari, J Lampinen Information Fusion 8 (1), 2-15, 2007	370	2007
Sparsity information and regularization in the horseshoe and other shrinkage priors J Piironen, A Vehtari Electronic Journal of Statistics 11 (2), 5018-5051, 2017	339	2017
GPstuff: Bayesian modeling with Gaussian processes J Vanhatalo, J Riihimäki, J Hartikainen, P Jylänki, V Tolvanen, A Vehtari Journal of Machine Learning Research 14, 1175-1179, 2013	334*	2013
Regression and other stories A Gelman, J Hill, A Vehtari Cambridge University Press, 2020	323	2020
Comparison of Bayesian predictive methods for model selection J Piironen, A Vehtari Statistics and Computing 27, 711-735, 2017	307	2017
Pareto smoothed importance sampling A Vehtari, D Simpson, A Gelman, Y Yao, J Gabry arXiv preprint arXiv:1507.02646, 2015	264	2015
Gaussian processes with monotonicity information J Riihimäki, A Vehtari Proceedings of the thirteenth international conference on artificial …, 2010	219	2010
Bayesian model assessment and comparison using cross-validation predictive densities A Vehtari, J Lampinen Neural computation 14 (10), 2439-2468, 2002	219	2002

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors