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Scaled Vecchia approximation for fast computer-model emulation

1 May 2020

Papers citing "Scaled Vecchia approximation for fast computer-model emulation"

24 / 24 papers shown

Title
Correspondence of NNGP Kernel and the Matern Kernel Amanda Muyskens Benjamin W. Priest I. Goumiri M. Schneider BDL 148 1 0 10 Oct 2024
Aggregation Models with Optimal Weights for Distributed Gaussian Processes Liam Hebert Sukhdeep S. Sodhi 62 0 0 01 Aug 2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner Haoyuan Chen Rui Tuo 69 0 0 01 Aug 2024
The inverse Kalman filter X. Fang Mengyang Gu 66 1 0 14 Jul 2024
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations Qilong Pan Sameh Abdulah M. Genton David E. Keyes Hatem Ltaief Ying Sun 61 2 0 12 Mar 2024
A General Theory for Kernel Packets: from state space model to compactly supported basis Liang Ding Rui Tuo 34 1 0 06 Feb 2024
Asymptotic properties of Vecchia approximation for Gaussian processes Myeongjong Kang Florian Schafer J. Guinness Matthias Katzfuss 87 6 0 29 Jan 2024
Multi-resolution filters via linear projection for large spatio-temporal datasets Toshihiro Hirano Tsunehiro Ishihara 41 0 0 10 Jan 2024
Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities Jian Cao Matthias Katzfuss 69 1 0 15 Nov 2023
Scalable Model-Based Gaussian Process Clustering Anirban Chakraborty Abhisek Chakraborty 62 1 0 14 Sep 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 109 1 0 26 May 2023
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization JIAN-PENG Cao Myeongjong Kang Felix Jimenez H. Sang Florian Schäfer Matthias Katzfuss 73 7 0 30 Jan 2023
Vecchia-approximated Deep Gaussian Processes for Computer Experiments Annie Sauer A. Cooper R. Gramacy 83 36 0 06 Apr 2022
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes Felix Jimenez Matthias Katzfuss 69 10 0 02 Mar 2022
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference Myeong K. Kang Matthias Katzfuss 72 24 0 29 Dec 2021
Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fields Matthias Katzfuss Florian Schafer OT 118 14 0 09 Aug 2021
Sensitivity Prewarping for Local Surrogate Modeling Nathan Wycoff M. Binois R. Gramacy 75 10 0 15 Jan 2021
Bayesian nonstationary and nonparametric covariance estimation for large spatial data Brian Kidd Matthias Katzfuss 67 14 0 10 Dec 2020
Locally induced Gaussian processes for large-scale simulation experiments D. Cole R. Christianson R. Gramacy 77 21 0 28 Aug 2020
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering M. Jurek Matthias Katzfuss 58 20 0 30 Jun 2020
A multi-resolution approximation via linear projection for large spatial datasets Toshihiro Hirano 41 1 0 10 Apr 2020
Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model K. Pazdernik R. Maitra 15 0 0 12 Mar 2020
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data Daniel Zilber Matthias Katzfuss 84 34 0 18 Jun 2019
Vecchia approximations of Gaussian-process predictions Matthias Katzfuss J. Guinness Wenlong Gong Daniel Zilber 104 93 0 08 May 2018