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Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
Adaptive Elastic Net Estimation for Semiparametric Partially Linear Model with Spatio-temporal Data
تقدير الشبكة المرنة التكيفية لنموذج خطي جزئي شبه معلمي باستخدام البيانات المكانية الزمانية
Subject
:
Faculty of Science
Document Language
:
Arabic
Abstract
:
Modelling spatio-temporal data collected on different sites is a challenge because of the potentially large number of parameters in such data. Accurate statistical methods are needed to model and analyze such data. In this thesis, a semiparametric autoregressive partially linear model is utilized. The main objective is to estimate the parameters using the adaptive elastic net model. The proposed methodology is applied to the daily number of COVID-19 cases in Saudi Arabia by taking into account the potential impact of the daily number of vaccine doses. The results showed the estimation procedures applied in the proposed model are more accurate than other methods of estimation in terms of model fits and prediction. Keywords: Adaptive elastic net, spatio-temporal effect, multivariate adaptive splines regression, semiparametric model, covid-19.
Supervisor
:
Dr. Dawlah Alsulami
Thesis Type
:
Master Thesis
Publishing Year
:
1444 AH
2023 AD
Co-Supervisor
:
Dr. Maha Bakoben
Added Date
:
Wednesday, March 15, 2023
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
تغريد شموس السلمي
Alsulami, Taghreed Shumus
Researcher
Master
Files
File Name
Type
Description
49109.pdf
pdf
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