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Traumatic Systolic Blood Pressure Modeling: A Spectral Gaussian Process Regression Approach with Robust Sample Covariates
Author(s) -
David Kwamena Mensah,
Michael Arthur Ofori,
Nathaniel Howard
Publication year - 2022
Publication title -
mathematics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.149
H-Index - 3
eISSN - 2332-2144
pISSN - 2332-2071
DOI - 10.13189/ms.2022.100312
Subject(s) - mathematics , covariate , gaussian process , sample (material) , sample mean and sample covariance , regression , blood pressure , regression analysis , kriging , statistics , gaussian , econometrics , medicine , physics , quantum mechanics , chemistry , chromatography , estimator

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