On ridge regression and least absolute shrinkage and selection operator
This thesis focuses on ridge regression (RR) and least absolute shrinkage and selection operator (lasso). Ridge properties are being investigated in great detail which include studying the bias, the variance and the mean squared error as a function of the tuning parameter. We also study the convexit...
Main Author: | AlNasser, Hassan |
---|---|
Other Authors: | Zhou, Julie |
Format: | Others |
Language: | English en |
Published: |
2017
|
Subjects: | |
Online Access: | https://dspace.library.uvic.ca//handle/1828/8499 |
Similar Items
-
The Usage of Lasso, Ridge, and Linear Regression to Explore the Most Influential Metabolic Variables that Affect Fasting Blood Sugar in Type 2 Diabetes Patients
by: Farbahari Arash, et al.
Published: (2019-12-01) -
PERBANDINGAN ANALISIS LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR DAN PARTIAL LEAST SQUARES (Studi Kasus: Data Microarray)
by: KADEK DWI FARMANI, et al.
Published: (2012-09-01) -
Elastic Net Regression and Empirical Mode Decomposition for Enhancing the Accuracy of the Model Selection
by: Abdullah S. Al-Jawarneh, et al.
Published: (2021-04-01) -
Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application
by: Vasquez, Monica M., et al.
Published: (2016) -
INFERENCE AFTER VARIABLE SELECTION
by: Pelawa Watagoda, Lasanthi Chathurika Ranasinghe
Published: (2017)