Browsing by Author "Vehtari, Aki"

Title: Accounting for spatial dependence improves relative abundance estimates in a benthic marine species structured as a metapopulation Author(s): Cavieres, Joaquin; Monnahan, Cole C.; Vehtari, Aki Date: 2021-08 Series: FISHERIES RESEARCH, Volume 240

Title: Active Learning for Decision-Making from Imbalanced Observational Data Author(s): Sundin, Iiris; Schulam, Peter; Siivola, Eero; Vehtari, Aki; Saria, Suchi; Kaski, Samuel Date: 2019 Series: Proceedings of the 36th International Conference on Machine Learning, Proceedings of Machine Learning Research, Volume 97

Title: An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data Author(s): Cheng, Lu; Ramchandran, Siddharth; Vatanen, Tommi; Lietzén, Niina; Lahesmaa, Riitta; Vehtari, Aki; Lähdesmäki, Harri Date: 2019-04-17 Series: Nature Communications, Volume 10, issue 1

Title: Approximate leave-future-out cross-validation for Bayesian time series models Author(s): Bürkner, Paul Christian; Gabry, Jonah; Vehtari, Aki Date: 2020-06-25 Series: JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Title: Atlas of type 2 dopamine receptors in the human brain: Age and sex dependent variability in a large PET cohort Author(s): Malén, Tuulia; Karjalainen, Tomi; Isojärvi, Janne; Vehtari, Aki; Bürkner, Paul Christian; Putkinen, Vesa; Kaasinen, Valtteri; Hietala, Jarmo; Nuutila, Pirjo; Rinne, Juha; Nummenmaa, Lauri Date: 2022-07-15 Series: NeuroImage, Volume 255

Title: Bayesian aggregation of average data Author(s): Weber, Sebastian; Gelman, Andrew; Lee, Daniel; Betancourt, Michael; Vehtari, Aki; Racine-Poon, Amy Date: 2018-09-01 Series: Annals of Applied Statistics, Volume 12, issue 3

Title: Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful Author(s): Yao, Yuling; Pirš, Gregor; Vehtari, Aki; Gelman, Andrew Date: 2022-12 Series: Bayesian Analysis, Volume 17, issue 4

Title: Bayesian inference for spatio-temporal spike-and-slab priors Author(s): Andersen, Michael Riis; Vehtari, Aki; Winther, Ole; Kai Hansen, Lars Date: 2017-12-01 Series: Journal of Machine Learning Research, Volume 18

Title: Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models Author(s): Vehtari, Aki; Mononen, Tommi; Tolvanen, Ville; Sivula, Tuomas; Winther, Ole Date: 2016-06-01 Series: Journal of Machine Learning Research, Volume 17

Title: Bayesian leave-one-out cross-validation for large data Author(s): Magnusson, Måns; Andersen, Michael; Jonasson, Johan; Vehtari, Aki Date: 2019 Series: Proceedings of the 36th International Conference on Machine Learning, Proceedings of Machine Learning Research, Volume 97

Title: Bayesian model assessment and selection using expected utilities Author(s): Vehtari, Aki Date: 2001-12-14 Series: Helsinki University of Technology Laboratory of Computational Engineering publications. Report B, 29 | Doctoral thesis (monograph)

Title: Bayesian Variable Selection in Searching for Additive and Dominant Effects in Genome-Wide Data Author(s): Peltola, Tomi; Marttinen, Pekka; Jula, Antti; Salomaa, Veikko; Perola, Markus; Vehtari, Aki Date: 2012 Series: PLOS ONE, Volume 7, issue 1

Title: Brain-to-brain hyperclassification reveals action-specific motor mapping of observed actions in humans Author(s): Smirnov, Dmitry; Lachat, Fanny; Peltola, Tomi; Lahnakoski, Juha; Koistinen, Olli-Pekka; Glerean, Enrico; Vehtari, Aki; Hari, Riitta; Sams, Mikko; Nummenmaa, Lauri Date: 2017-12-11 Series: PLOS ONE, Volume 12, issue 12

Title: Chained Gaussian Processes Author(s): Saul, Alan; Hensman, James; Vehtari, Aki; Lawrence, Neil D. Date: 2016 Series: Journal of Machine Learning Research: Workshop and Conference Proceedings, Volume 51

Title: Characterization and non-parametric modeling of the developing serum proteome during infancy and early childhood Author(s): Lietzén, Niina; Cheng, Lu; Moulder, Robert; Siljander, Heli; Laajala, Essi; Härkönen, Taina; Peet, Aleksandr; Vehtari, Aki; Tillmann, Vallo; Knip, Mikael; Lähdesmäki, Harri; Lahesmaa, Riitta Date: 2018-12-01 Series: Scientific Reports, Volume 8, issue 1

Title: Comparison of Bayesian predictive methods for model selection Author(s): Piironen, Juho; Vehtari, Aki Date: 2017 Series: STATISTICS AND COMPUTING, Volume 27, issue 3

Title: The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective Author(s): Gasbarra, Dario; Arjas, Elja; Vehtari, Aki; Slama, Rémy; Keiding, Niels Date: 2015 Series: Lifetime Data Analysis, Volume 21, Issue 4 School of Science

Title: A decision-theoretic approach for model interpretability in Bayesian framework Author(s): Afrabandpey, Homayun; Peltola, Tomi; Piironen, Juho; Vehtari, Aki; Kaski, Samuel Date: 2020-09-01 Series: Machine Learning

Title: Deep Learning Spectroscopy Author(s): Ghosh, Kunal; Stuke, Annika; Todorović, Milica; Jørgensen, Peter Bjørn; Schmidt, Mikkel N.; Vehtari, Aki; Rinke, Patrick Date: 2019-05-03 Series: Advanced Science

Title: Distributed neural signatures of natural audiovisual speech and music in the human auditory cortex Author(s): Salmi, Juha; Koistinen, Olli-Pekka; Glerean, Enrico; Jylänki, Pasi; Vehtari, Aki; Jääskeläinen, Iiro; Mäkelä, Sasu; Nummenmaa, Lauri; Nummi-Kuisma, Katarina; Nummi, Ilari; Sams, Mikko Date: 2017-08-15 Series: NeuroImage

Browsing by Author "Vehtari, Aki"

Browsing by Author "Vehtari, Aki"

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