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Aki Vehtari

Showing results (1-10 of 48) with videos related to

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Neural Computation|October 25, 2002
Bayesian model assessment and comparison using cross-validation predictive densitiesAki Vehtari, Jouko Lampinen
Health Care Management Science|July 16, 2010
Analysing the length of care episode after hip fracture: a nonparametric and a parametric Bayesian approachJaakko Riihimäki, Reijo Sund, Aki Vehtari
Statistics in Medicine|February 15, 2021
Qualifying drug dosing regimens in pediatrics using Gaussian processesEero Siivola, Sebastian Weber, Aki Vehtari
Statistics in Medicine|June 17, 2010
Approximate inference for disease mapping with sparse Gaussian processesJarno Vanhatalo, Ville Pietiläinen, Aki Vehtari
Elife|March 2, 2026
Raw signal segmentation for estimating RNA modification from Nanopore direct RNA sequencing dataGuangzhao Cheng, Aki Vehtari, Lu Cheng
Plos One|November 21, 2012
Finite adaptation and multistep moves in the metropolis-hastings algorithm for variable selection in genome-wide association analysisTomi Peltola, Pekka Marttinen, Aki Vehtari
The Journal of Chemical Physics|January 2, 2025
Active learning of molecular data for task-specific objectivesKunal Ghosh, Milica Todorović, Aki Vehtari, et al.
Bioinformatics (Oxford, England)|January 20, 2021
lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal dataJuho Timonen, Henrik Mannerström, Aki Vehtari, et al.
Bayesian Analysis|September 19, 2025
Bayesian Hierarchical Stacking: Some Models Are (Somewhere) UsefulYuling Yao, Gregor Pirš, Aki Vehtari, et al.
Journal of Machine Learning Research : JMLR|March 16, 2026
Pathfinder: Parallel quasi-Newton variational inferenceLu Zhang, Bob Carpenter, Andrew Gelman, et al.
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Neural Computation|October 25, 2002
Bayesian model assessment and comparison using cross-validation predictive densitiesAki Vehtari, Jouko Lampinen
Health Care Management Science|July 16, 2010
Analysing the length of care episode after hip fracture: a nonparametric and a parametric Bayesian approachJaakko Riihimäki, Reijo Sund, Aki Vehtari
Statistics in Medicine|February 15, 2021
Qualifying drug dosing regimens in pediatrics using Gaussian processesEero Siivola, Sebastian Weber, Aki Vehtari
Statistics in Medicine|June 17, 2010
Approximate inference for disease mapping with sparse Gaussian processesJarno Vanhatalo, Ville Pietiläinen, Aki Vehtari
Elife|March 2, 2026
Raw signal segmentation for estimating RNA modification from Nanopore direct RNA sequencing dataGuangzhao Cheng, Aki Vehtari, Lu Cheng
Plos One|November 21, 2012
Finite adaptation and multistep moves in the metropolis-hastings algorithm for variable selection in genome-wide association analysisTomi Peltola, Pekka Marttinen, Aki Vehtari
The Journal of Chemical Physics|January 2, 2025
Active learning of molecular data for task-specific objectivesKunal Ghosh, Milica Todorović, Aki Vehtari, et al.
Bioinformatics (Oxford, England)|January 20, 2021
lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal dataJuho Timonen, Henrik Mannerström, Aki Vehtari, et al.
Bayesian Analysis|September 19, 2025
Bayesian Hierarchical Stacking: Some Models Are (Somewhere) UsefulYuling Yao, Gregor Pirš, Aki Vehtari, et al.
Journal of Machine Learning Research : JMLR|March 16, 2026
Pathfinder: Parallel quasi-Newton variational inferenceLu Zhang, Bob Carpenter, Andrew Gelman, et al.
Pageof 5