DeepAI AI Chat
Log In Sign Up

Ridge TRACE Diagnostics

05/28/2020
by   Bob Obenchain, et al.
0

We describe a new p-parameter generalized ridge-regression shrinkage-pattern recently implemented in the RXshrink CRAN R-package. The 5 different types of ridge TRACE displays discussed and illustrated here provide invaluable data-analytic insights and improved self-confidence to researchers and data scientists fitting linear models to ill-conditioned datasets.

READ FULL TEXT

page 1

page 2

page 3

page 4

03/09/2021

The Efficient Shrinkage Path: Maximum Likelihood of Minimum MSE Risk

A new generalized ridge regression shrinkage path is proposed that is as...
02/27/2020

Tuning-free ridge estimators for high-dimensional generalized linear models

Ridge estimators regularize the squared Euclidean lengths of parameters....
05/30/2020

Ridge Regularizaton: an Essential Concept in Data Science

Ridge or more formally ℓ_2 regularization shows up in many areas of stat...
09/17/2020

Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap

In high dimensional setting, the facts that the classical ridge regressi...
02/26/2019

Parameter Redundancy and the Existence of Maximum Likelihood Estimates in Log-linear Models

In fitting log-linear models to contingency table data, the presence of ...
03/14/2023

Testing Causality for High Dimensional Data

Determining causal relationship between high dimensional observations ar...
02/25/2021

Recovery of regular ridge functions on the ball

We consider the problem of the uniform (in L_∞) recovery of ridge functi...