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07/21/2023
Sparse Cholesky factorization by greedy conditional selection
Dense kernel matrices resulting from pairwise evaluations of a kernel fu...
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10/17/2022
Vecchia Approximations and Optimization for Multivariate Matérn Models
We describe our implementation of the multivariate Matérn model for mult...
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08/05/2022
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators
The dynamics that govern disease spread are hard to model because infect...
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03/07/2022
Comparison of CYGNSS and Jason-3 Wind Speed Measurements via Gaussian Processes
Wind is a critical component of the Earth system and has unmistakable im...
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02/25/2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations
Gaussian process (GP) regression is a flexible, nonparametric approach t...
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11/30/2021
Log-Gaussian Cox Process Modeling of Large Spatial Lightning Data using Spectral and Laplace Approximations
Lightning is a destructive and highly visible product of severe storms, ...
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10/13/2021
Ordered conditional approximation of Potts models
Potts models, which can be used to analyze dependent observations on a l...
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05/01/2020
Scaled Vecchia approximation for fast computer-model emulation
Many scientific phenomena are studied using computer experiments consist...
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02/14/2020
An Observational Study of the Effect of Nike Vaporfly Shoes on Marathon Performance
We collected marathon performance data from a systematic sample of elite...
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12/26/2019
Inverses of Matern Covariances on Grids
We conduct a theoretical and numerical study of the aliased spectral den...
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05/29/2019
Mean-dependent nonstationary spatial models
Nonstationarity is a major challenge in analyzing spatial data. For exam...
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05/20/2019
Gaussian Process Learning via Fisher Scoring of Vecchia's Approximation
We derive a single pass algorithm for computing the gradient and Fisher ...
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04/30/2019
Smooth Density Spatial Quantile Regression
We derive the properties and demonstrate the desirability of a model-bas...
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04/24/2019
Baseline Drift Estimation for Air Quality Data Using Quantile Trend Filtering
We address the problem of estimating smoothly varying baseline trends in...
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04/08/2019
Geostatistical Modeling of Positive Definite Matrices and Its Applications to Diffusion Tensor Imaging
Geostatistical modeling for continuous point-referenced data has been ex...
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02/25/2019
Estimating Atmospheric Motion Winds from Satellite Image Data using Space-time Drift Models
Geostationary satellites collect high-resolution weather data comprising...
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11/03/2018
Nonparametric Spectral Methods for Multivariate Spatial and Spatial-Temporal Data
We propose computationally efficient methods for estimating stationary m...
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09/18/2018
Non-Stationary Covariance Estimation using the Stochastic Score Approximation for Large Spatial Data
We introduce computational methods that allow for effective estimation o...
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05/08/2018
Multivariate Spatial-Temporal Variable Selection with Applications to Seasonal Tropical Cyclone Modeling
Tropical cyclone and sea surface temperature data have been used in seve...
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05/08/2018
Vecchia approximations of Gaussian-process predictions
Gaussian processes (GPs) are highly flexible function estimators used fo...
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05/08/2018
Spatial shrinkage via the product independent Gaussian process prior
We study the problem of sparse signal detection on a spatial domain. We ...
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11/11/2017
A Test for Isotropy on a Sphere using Spherical Harmonic Functions
Analysis of geostatistical data is often based on the assumption that th...
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08/21/2017