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Keyword

Vecchia approximation

Description: A sparse approximation to a Gaussian process that uses conditional distributions based on a selected ordering of observations for scalable statistical modeling.
Wikidata ID: wiki/Q104845014
OpenAlex ID: keywords/vecchia-approximation
A General Framework for Vecchia Approximations of Gaussian Processes
2020 · Matthias Katzfuss, Joseph Guinness · Statistical Science · 252
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Permutation and Grouping Methods for Sharpening Gaussian Process Approximations
2018 · Joseph Guinness · Technometrics · 143
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Sparse Cholesky Factorization by Kullback--Leibler Minimization
2021 · Florian Schäfer, Matthias Katzfuss, et al. · SIAM Journal on Scientific Computing · 91
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Vecchia Approximations of Gaussian-Process Predictions
2020 · Matthias Katzfuss, Joseph Guinness, et al. · Journal of Agricultural Biological and Environmental Statistics · 84
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Gaussian Process Boosting
2020 · Sigrist, Fabio · arXiv (Cornell University) · 50
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Gaussian process learning via Fisher scoring of Vecchia’s approximation
2021 · Joseph Guinness · Statistics and Computing · 43
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Vecchia-Approximated Deep Gaussian Processes for Computer Experiments
2022 · Annie Sauer, Andrew Cooper, et al. · Journal of Computational and Graphical Statistics · 38
Vecchia–Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data
2020 · Daniel Zilber, Matthias Katzfuss · Computational Statistics & Data Analysis · 37
Scaled Vecchia Approximation for Fast Computer-Model Emulation
2022 · Matthias Katzfuss, Joseph Guinness, et al. · SIAM/ASA Journal on Uncertainty Quantification · 34
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Sparse Cholesky factorization for solving nonlinear PDEs via Gaussian processes
2024 · Yifan Chen, Houman Owhadi, et al. · Mathematics of Computation · 16
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Modeling extremal streamflow using deep learning approximations and a flexible spatial process
2024 · Reetam Majumder, Brian J. Reich, et al. · The Annals of Applied Statistics · 13
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Parallel Geostatistics for Sparse and Dense Datasets
2010 · Ben Ingram, Dan Cornford · Quantitative geology and geostatistics · 13
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference
2023 · Myeongjong Kang, Matthias Katzfuss · Statistics and Computing · 12
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Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-hh random fields estimation
2023 · Christian Caamaño-Carrillo, Moreno Bevilacqua, et al. · Computational Statistics & Data Analysis · 7
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Multi-Scale Vecchia Approximations of Gaussian Processes
2022 · Jingjie Zhang, Matthias Katzfuss · Journal of Agricultural Biological and Environmental Statistics · 7
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models
2023 · Raphaël Huser, Michael L. Stein, et al. · Journal of Computational and Graphical Statistics · 6
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Scalable Gaussian-process regression and variable selection using Vecchia approximations
2022 · Cao, Jian, Guinness, Joseph, et al. · arXiv (Cornell University) · 6
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GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations
2024 · Qilong Pan, Sameh Abdulah, et al. · 5
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Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study
2024 · Arnab Hazra, Pratik Nag, et al. · Journal of Agricultural Biological and Environmental Statistics · 5
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Vecchia Likelihood Approximation for Accurate and Fast Inference in Intractable Spatial Extremes Models
2022 · Huser, Raphaël, Stein, Michael L., et al. · arXiv (Cornell University) · 5
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Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models
2024 · Pascal Kündig, Fabio Sigrist · Journal of the American Statistical Association · 4
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Scalable Model-Based Gaussian Process Clustering
2024 · Anirban Chakraborty, Abhisek Chakraborty · IEEE International Conference on Acoustics Speech and Signal Processing · 4
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The Third Competition on Spatial Statistics for Large Datasets
2023 · Yiping Hong, Yan Song, et al. · Journal of Agricultural Biological and Environmental Statistics · 4
Implementation and analysis of GPU algorithms for Vecchia Approximation
2024 · Zachary James, Joseph Guinness · Statistics and Computing · 3
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Bayesian inference for group-level cortical surface image-on-scalar regression with Gaussian process priors
2024 · Andrew S Whiteman, Timothy D Johnson, et al. · Biometrics · 3
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Works count: 120
Citation count: 915
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