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Joseph Guinness

Showing results (1-10 of 13) with videos related to

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Biometrika|May 18, 2019
Spectral density estimation for random fields via periodic embeddingsJoseph Guinness
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|August 27, 2019
Permutation and Grouping Methods for Sharpening Gaussian Process ApproximationsJoseph Guinness
Journal of Multivariate Analysis|December 27, 2021
Nonparametric spectral methdods for multivariate spatial and spatial-temporal dataJoseph Guinness
Biometrics|July 22, 2024
A Gaussian-process approximation to a spatial SIR process using moment closures and emulatorsParker Trostle, Joseph Guinness, Brian J Reich
Statistica Sinica|January 6, 2022
SMOOTH DENSITY SPATIAL QUANTILE REGRESSIONHalley Brantley, Montserrat Fuentes, Joseph Guinness, et al.
Biometrics|February 11, 2021
Geostatistical modeling of positive-definite matrices: An application to diffusion tensor imagingZhou Lan, Brian J Reich, Joseph Guinness, et al.
Biometrics|September 30, 2017
Fully Bayesian spectral methods for imaging dataBrian J Reich, Joseph Guinness, Simon N Vandekar, et al.
Environmental Science & Technology|September 29, 2018
Space-Time Geostatistical Assessment of Hypoxia in the Northern Gulf of MexicoV Rohith Reddy Matli, Shiqi Fang, Joseph Guinness, et al.
Journal of Food Protection|November 28, 2024
Application of Mechanistic Models and the Gaussian Process Model to Predict Bacterial Growth on Baby Spinach During Refrigerated StorageSriya Sunil, Sarah I Murphy, Ruixi Chen, et al.
The Science of the Total Environment|August 20, 2019
A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extentShiqi Fang, Dario Del Giudice, Donald Scavia, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Biometrika|May 18, 2019
Spectral density estimation for random fields via periodic embeddingsJoseph Guinness
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|August 27, 2019
Permutation and Grouping Methods for Sharpening Gaussian Process ApproximationsJoseph Guinness
Journal of Multivariate Analysis|December 27, 2021
Nonparametric spectral methdods for multivariate spatial and spatial-temporal dataJoseph Guinness
Biometrics|July 22, 2024
A Gaussian-process approximation to a spatial SIR process using moment closures and emulatorsParker Trostle, Joseph Guinness, Brian J Reich
Statistica Sinica|January 6, 2022
SMOOTH DENSITY SPATIAL QUANTILE REGRESSIONHalley Brantley, Montserrat Fuentes, Joseph Guinness, et al.
Biometrics|February 11, 2021
Geostatistical modeling of positive-definite matrices: An application to diffusion tensor imagingZhou Lan, Brian J Reich, Joseph Guinness, et al.
Biometrics|September 30, 2017
Fully Bayesian spectral methods for imaging dataBrian J Reich, Joseph Guinness, Simon N Vandekar, et al.
Environmental Science & Technology|September 29, 2018
Space-Time Geostatistical Assessment of Hypoxia in the Northern Gulf of MexicoV Rohith Reddy Matli, Shiqi Fang, Joseph Guinness, et al.
Journal of Food Protection|November 28, 2024
Application of Mechanistic Models and the Gaussian Process Model to Predict Bacterial Growth on Baby Spinach During Refrigerated StorageSriya Sunil, Sarah I Murphy, Ruixi Chen, et al.
The Science of the Total Environment|August 20, 2019
A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extentShiqi Fang, Dario Del Giudice, Donald Scavia, et al.
Pageof 2