Penalized precision matrix estimation
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Updated
Jun 19, 2018 - R
Penalized precision matrix estimation
R code for figures, simulations and application in my Masters thesis and corresponding conference paper on the LASSO and other shrinkage methods
Nonparametric P-Value Estimation for Predictors in Lasso
Compare the performance of different validation techniques using MSE from LASSO regression .
subsample-order least-angle regression, a algorithm that performs quick, sparse, stable and accurate variable selection for ultrahigh dimensional data under complicated dependence structures, harsh irrepresentable conditions and high multicollinearity.
This repository shows some coding in R my colleagues and I made for our Machine Learning course for the Diploma of Specialization in Data Science for Social Sciences and Public Management - PUCP
Survival Analysis for Glioblastoma Multiforme
glmnet for python
Please read the readme.md file
Lasso plugin to transform JS using Buble.
Using Multiple Linear Regression and Lasso Regression (Linear Regression with L1 norm) to predict bike rentals by registered users based on weather and time criteria.
Hand-made R Functions Mainly for Statistical Data Analysis
Machine Learning Project
A summative coursework for MAS8404 Statistical Learning for Data Science
Solving Ridge regression - Lasso using coordinate descent method
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