Aki Vehtari

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

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Aki Vehtari

Associate Professor, Aalto University

Verificeret mail på aalto.fi - Startside

Bayesian analysis Bayesian statistics Bayesian workflow Gaussian processes


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Bayesian data analysis, 3rd edition A Gelman, JB Carlin, HS Stern, DB Dunson, A Vehtari, DB Rubin Chapman and Hall/CRC, 2013	36236*	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	3721	2017
Understanding predictive information criteria for Bayesian models A Gelman, J Hwang, A Vehtari Statistics and computing 24 (6), 997-1016, 2014	1924	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	1092	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	969	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	733	2021
Visualization in Bayesian workflow J Gabry, D Simpson, A Vehtari, M Betancourt, A Gelman Journal of the Royal Statistical Society Series A, 2017	677	2017
R-squared for Bayesian regression models A Gelman, B Goodrich, J Gabry, A Vehtari The American Statistician 73 (3), 307-309, 2019	572	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	565	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	397	2001
A survey of Bayesian predictive methods for model assessment, selection and comparison A Vehtari, J Ojanen Statistics Surveys 6, 142-228, 2012	377	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	340	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	325	2020
Comparison of Bayesian predictive methods for model selection J Piironen, A Vehtari Statistics and Computing 27, 711-735, 2017	310	2017
Pareto smoothed importance sampling A Vehtari, D Simpson, A Gelman, Y Yao, J Gabry arXiv preprint arXiv:1507.02646, 2015	264	2015
Bayesian model assessment and comparison using cross-validation predictive densities A Vehtari, J Lampinen Neural computation 14 (10), 2439-2468, 2002	220	2002
Gaussian processes with monotonicity information J Riihimäki, A Vehtari Proceedings of the thirteenth international conference on artificial …, 2010	219	2010

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