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A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing

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DOI
10.1016/j.compind.2022.103645
Leoni, Leonardo; De Carlo, Filippo; Abaei, Mohammad Mahdi; BahooToroody, Ahmad
Computers in Industry2022Publicationer information ikon

R-squared for Bayesian regression models

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10.1080/00031305.2018.1549100
Gelman, Andrew; Goodrich, Ben; Gabry, Jonah; Vehtari, Aki
American Statistician2019Publicationer information ikon

Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful

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10.1214/21-BA1287
Yao, Yuling; Pirš, Gregor; Vehtari, Aki; Gelman, Andrew
Bayesian Analysis2022Publicationer information ikon

Bayesian learning of feature spaces for multitask regression

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10.1016/j.neunet.2024.106619
Sevilla-Salcedo, Carlos; Gallardo-Antolín, Ascensión; Gómez-Verdejo, Vanessa; Parrado-Hernández, Emi...
Neural Networks2024Publicationer information ikon

HSCNet++ : Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer

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10.1007/s11263-023-01982-9
Wang, Shuzhe; Laskar, Zakaria; Melekhov, Iaroslav; Li, Xiaotian; Zhao, Yi; Tolias, Giorgos; Kannala,...
International Journal of Computer Vision2024Publicationer information ikon

Non-parametric Bayesian Hazard Regression for Chronic Disease Risk Assessment

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DOI
10.1111/sjos.12125
Saarela, Olli; Arjas, Elja
Scandinavian journal of statistics2015Publicationer information ikon

Horseshoe prior Bayesian quantile regression

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10.1093/jrsssc/qlad091
Kohns, D; Szendrei , Tibor
Journal of the Royal Statistical Society. Series C: Applied Statistics2023Publicationer information ikon

Modelling monotonic effects of ordinal predictors in Bayesian regression models

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10.1111/bmsp.12195
Bürkner, Paul Christian; Charpentier, Emmanuel
British Journal of Mathematical and Statistical Psychology2020Publicationer information ikon

Sparse MEG inverse solutiona via hierarchical Bayesian modeling: Evaluation with a parallel fMRI study

Nummenmaa, Aapo; Auranen, Toni; Vanni, Simo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, ...
-2007Publicationer information ikon

Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization

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10.1088/2632-2153/abee59
Stuke, Annika; Rinke, Patrick; Todorovic, Milica
Machine learning: science and technology2021

A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing

Referentgranskad
Öppen tillgång
DOI
10.1016/j.compind.2022.103645
2022

R-squared for Bayesian regression models

Referentgranskad
Öppen tillgång
DOI
10.1080/00031305.2018.1549100
2019

Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful

Referentgranskad
Öppen tillgång
DOI
10.1214/21-BA1287
2022

Bayesian learning of feature spaces for multitask regression

Referentgranskad
Öppen tillgång
DOI
10.1016/j.neunet.2024.106619
2024

HSCNet++ : Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer

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Öppen tillgång
DOI
10.1007/s11263-023-01982-9
2024

Non-parametric Bayesian Hazard Regression for Chronic Disease Risk Assessment

Referentgranskad
DOI
10.1111/sjos.12125
2015

Horseshoe prior Bayesian quantile regression

Referentgranskad
Öppen tillgång
DOI
10.1093/jrsssc/qlad091
2023

Modelling monotonic effects of ordinal predictors in Bayesian regression models

Referentgranskad
Öppen tillgång
DOI
10.1111/bmsp.12195
2020

Sparse MEG inverse solutiona via hierarchical Bayesian modeling: Evaluation with a parallel fMRI study

2007

Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization

Referentgranskad
Öppen tillgång
DOI
10.1088/2632-2153/abee59
2021