Nested Kriging predictions for datasets with large number of
observations

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Nested Kriging predictions for datasets with large number of observations

19 July 2016

François Bachoc

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Papers citing "Nested Kriging predictions for datasets with large number of observations"

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Title
Assessing the Competitiveness of Matrix-Free Block Likelihood Estimation in Spatial Models Alfredo Alegría 46 0 0 20 Jan 2024
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 109 1 0 26 May 2023
Trajectory-oriented optimization of stochastic epidemiological models A. Fadikar M. Binois Nicholson T. Collier Abby Stevens K. Toh J. Ozik 92 7 0 06 May 2023
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning George P. Kontoudis D. Stilwell FedML 66 8 0 06 Mar 2022
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui 102 30 0 18 Mar 2021
The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics A. M. CEA-DES Bertrand Iooss V. Chabridon 49 17 0 08 Apr 2020
Bayesian inference and non-linear extensions of the CIRCE method for quantifying the uncertainty of closure relationships integrated into thermal-hydraulic system codes Guillaume Damblin P. Gaillard 47 20 0 13 Feb 2019
Composite likelihood estimation for a gaussian process under fixed domain asymptotics François Bachoc M. Bevilacqua D. Velandia 39 12 0 24 Jul 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 136 697 0 03 Jul 2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression Haitao Liu Jianfei Cai Yi Wang Yew-Soon Ong 78 84 0 03 Jun 2018
Properties and comparison of some Kriging sub-model aggregation methods François Bachoc N. Durrande D. Rullière C. Chevalier 54 10 0 17 Jul 2017
Cluster-based Kriging Approximation Algorithms for Complexity Reduction Bas van Stein Hao Wang W. Kowalczyk M. Emmerich Thomas Bäck 98 45 0 04 Feb 2017
A Bayesian optimization approach to find Nash equilibria Victor Picheny M. Binois A. Habbal 71 35 0 08 Nov 2016