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
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom