| SESUG |
2022 |
Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM |
David J. Corliss |
source |
12 |
| PharmaSUG |
2021 |
Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2020 |
%SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building |
David R. Nelson,
Siew Wong-Jacobson |
source |
20 |
| SESUG |
2019 |
Advanced Statistical Modeling within Machine Learning and Big Data Analytics |
Niloofar Ramezani,
George Mason |
source |
16 |
| PharmaSUG |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
23 |
| SGF |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SESUG |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
23 |
| MWSUG |
2018 |
Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
23 |
| WUSS |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| PharmaSUG |
2018 |
Multicollinearity: What Is It and What Can We Do About It? |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| SGF |
2018 |
Forecasting the Value of Fine Wines |
Joseph Breeden |
source |
9 |
| SGF |
2018 |
Penalized Variable Selection and Quantile Regression in SAS : An Overview |
Russell M. Lavery |
source |
28 |
| SGF |
2018 |
Ridge Regression and Multicollinearity: An In-Depth Review [presentation] |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| SESUG |
2017 |
Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
12 |
| WUSS |
2017 |
Multicollinearity: What Is It and What Can We Do About It? |
Deanna Naomi Schreiber-Gregory |
source |
12 |
| SGF |
2017 |
Linear Model Regularization [presentation] |
Shashank Hebbar,
Lili Zhang,
Dhiraj Gharana |
source |
1 |
| SGF |
2017 |
Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? |
Deanna Naomi Schreiber-Gregory |
source |
12 |
| MWSUG |
2016 |
An Animated Guide: Penalized variable selection techniques in SAS and Quantile Regression |
Russell M. Lavery,
Peter Flom |
|
24 |
| WUSS |
2015 |
Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) |
Peter L. Flom |
source |
25 |
| SGF |
2015 |
Lasso Regularization for Generalized Linear Models in Base SAS Using Cyclical Coordinate Descent |
Robert Feyerharm |
source |
10 |
| PHUSE EU |
2012 |
Multicollinearity Diagnostics in Statistical Modeling and Remedies to Deal with it Using SAS |
Harshada Joshi,
Swapna Deshpande |
source
presentation source |
12 |
| WUSS |
2008 |
Comparing efficiency of cross validated partial least squares regression and ridge regression models in predicting spatial variability of total nitrogen concentration in Truckee River, Nevada. |
Anpalaki J. Ragavan |
source |
13 |
| WUSS |
1996 |
Multicollinearity in Regression Models: Detection and Remedial Measures Using the SAS System |
George C. J. Fernandez |
source |
9 |
| SUGI |
1995 |
An Introduction to Partial Least Squares Regression |
Randall D. Tobias |
source |
8 |
| SUGI |
1991 |
Ridge Regression from Correlation Matrix Input |
Lawrence Hotchkiss,
John R. Gerlach |
source |
6 |
| SUGI |
1989 |
Balanced Design Estimation |
Gordana Jelisavcic |
source |
4 |
| SUGI |
1989 |
Handling Multicollinearity with SAS/IML Software: Ridge Regression on the PC |
Gary William Carr,
Gerald Tlapa |
source |
8 |
| SUGI |
1986 |
Weighted Ridge Estimation in a Collective Bargaining Context |
Teresa Ghilarducci,
Lawrence C. Marsh |
source |
6 |
| SUGI |
1980 |
MRR: A New Approach to Ridge Regression Using SAS |
T. Janakiraman,
Lawrence C. Marsh |
source |
5 |
| SUGI |
1980 |
Pre-programmed Routines for an Applied Linear Models Course |
James A. Calloway,
William L. Seaver |
source |
6 |
| SUGI |
1979 |
Exploring Biased Regression with'SAS |
Samuel G. Carmer,
Wen T. Hsieh |
source |
6 |
| SUGI |
1978 |
A Ridge Regression Algorithm Versus the Classical Least Squares Regression Model |
Bradford T. Greene,
Kareem A. Nakkash |
source |
6 |
| SUGI |
1978 |
A SAS Macro for Calculating Coefficients of Ridge Regression |
Ernest Hilderbrand,
Robert Rogers |
source |
7 |
HOME
QUICK SEARCH
AUTHORS
KEYWORDS
HELP
BUGS