Search Results - "Vehtari, Aki"

Comparison of Bayesian predictive methods for model selection by Piironen, Juho, Vehtari, Aki

“…The goal of this paper is to compare several widely used Bayesian model selection methods in practical model selection problems, highlight their differences…”
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Sparsity information and regularization in the horseshoe and other shrinkage priors by Piironen, Juho, Vehtari, Aki

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Understanding predictive information criteria for Bayesian models by Gelman, Andrew, Hwang, Jessica, Vehtari, Aki

“…We review the Akaike, deviance, and Watanabe-Akaike information criteria from a Bayesian perspective, where the goal is to estimate expected…”
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Visualization in Bayesian workflow by Gabry, Jonah, Simpson, Daniel, Vehtari, Aki, Betancourt, Michael, Gelman, Andrew

“…Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of Markov chains…”
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An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data by Cheng, Lu, Ramchandran, Siddharth, Vatanen, Tommi, Lietzén, Niina, Lahesmaa, Riitta, Vehtari, Aki, Lähdesmäki, Harri

“…Biomedical research typically involves longitudinal study designs where samples from individuals are measured repeatedly over time and the goal is to identify…”
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Efficient estimation and correction of selection-induced bias with order statistics by McLatchie, Yann, Vehtari, Aki

“…Model selection aims to identify a sufficiently well performing model that is possibly simpler than the most complex model among a pool of candidates. However,…”
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC by Vehtari, Aki, Gelman, Andrew, Gabry, Jonah

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Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra by Ghosh, Kunal, Stuke, Annika, Todorović, Milica, Jørgensen, Peter Bjørn, Schmidt, Mikkel N., Vehtari, Aki, Rinke, Patrick

“…Deep learning methods for the prediction of molecular excitation spectra are presented. For the example of the electronic density of states of 132k organic…”
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Bayesian cross-validation by parallel Markov chain Monte Carlo by Cooper, Alex, Vehtari, Aki, Forbes, Catherine, Simpson, Dan, Kennedy, Lauren

“…Brute force cross-validation (CV) is a method for predictive assessment and model selection that is general and applicable to a wide range of Bayesian models…”
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A fast regression via SVD and marginalization by Greengard, Philip, Gelman, Andrew, Vehtari, Aki

“…We describe a numerical scheme for evaluating the posterior moments of Bayesian linear regression models with partial pooling of the coefficients. The…”
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Interindividual variability and lateralization of μ-opioid receptors in the human brain by Kantonen, Tatu, Karjalainen, Tomi, Isojärvi, Janne, Nuutila, Pirjo, Tuisku, Jouni, Rinne, Juha, Hietala, Jarmo, Kaasinen, Valtteri, Kalliokoski, Kari, Scheinin, Harry, Hirvonen, Jussi, Vehtari, Aki, Nummenmaa, Lauri

“…Alterations in the brain’s μ-opioid receptor (MOR) system have been associated with several neuropsychiatric disorders. Central MOR availability also varies…”
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Risk of recurrence of gastrointestinal stromal tumour after surgery: an analysis of pooled population-based cohorts by Joensuu, Heikki, Prof, Vehtari, Aki, DSci, Riihimäki, Jaakko, MSc, Nishida, Toshirou, MD, Steigen, Sonja E, MD, Brabec, Peter, MSci, Plank, Lukas, Prof, Nilsson, Bengt, MD, Cirilli, Claudia, BSc, Braconi, Chiara, MD, Bordoni, Andrea, MD, Magnusson, Magnus K, MD, Linke, Zdenek, MD, Sufliarsky, Jozef, MD, Federico, Massimo, MD, Jonasson, Jon G, MD, Dei Tos, Angelo Paolo, MD, Rutkowski, Piotr, MD

“…Summary Background The risk of recurrence of gastrointestinal stromal tumour (GIST) after surgery needs to be estimated when considering adjuvant systemic…”
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Good practices for Bayesian optimization of high dimensional structured spaces by Siivola, Eero, Paleyes, Andrei, González, Javier, Vehtari, Aki

“…The increasing availability of structured but high dimensional data has opened new opportunities for optimization. One emerging and promising avenue is the…”
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Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models by Bürkner, Paul-Christian, Gabry, Jonah, Vehtari, Aki

“…Cross-validation can be used to measure a model’s predictive accuracy for the purpose of model comparison, averaging, or selection. Standard leave-one-out…”
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Detecting and diagnosing prior and likelihood sensitivity with power-scaling by Kallioinen, Noa, Paananen, Topi, Bürkner, Paul-Christian, Vehtari, Aki

“…Determining the sensitivity of the posterior to perturbations of the prior and likelihood is an important part of the Bayesian workflow. We introduce a…”
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Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming by Riutort-Mayol, Gabriel, Bürkner, Paul-Christian, Andersen, Michael R., Solin, Arno, Vehtari, Aki

“…Gaussian processes are powerful non-parametric probabilistic models for stochastic functions. However, the direct implementation entails a complexity that is…”
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Rao-Blackwellized particle filter for multiple target tracking by Särkkä, Simo, Vehtari, Aki, Lampinen, Jouko

“…In this article we propose a new Rao-Blackwellized particle filtering based algorithm for tracking an unknown number of targets. The algorithm is based on…”
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Implicitly adaptive importance sampling by Paananen, Topi, Piironen, Juho, Bürkner, Paul-Christian, Vehtari, Aki

“…Adaptive importance sampling is a class of techniques for finding good proposal distributions for importance sampling. Often the proposal distributions are…”
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Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER by Särkkä, Simo, Solin, Arno, Nummenmaa, Aapo, Vehtari, Aki, Auranen, Toni, Vanni, Simo, Lin, Fa-Hsuan

“…In this article we introduce the DRIFTER algorithm, which is a new model based Bayesian method for retrospective elimination of physiological noise from…”
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Atlas of type 2 dopamine receptors in the human brain: Age and sex dependent variability in a large PET cohort by Malén, Tuulia, Karjalainen, Tomi, Isojärvi, Janne, Vehtari, Aki, Bürkner, Paul-Christian, Putkinen, Vesa, Kaasinen, Valtteri, Hietala, Jarmo, Nuutila, Pirjo, Rinne, Juha, Nummenmaa, Lauri

“…•We developed a large-scale atlas of human type 2 dopamine receptor (D2R).•D2R availability decreases similarly among males and females and overall females…”
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