| SESUG |
2022 |
Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM |
David J. Corliss |
source |
12 |
| SGF |
2020 |
Introducing the GAMSELECT Procedure for Generalized Additive Model Selection |
Michael Lamm, Weijie Cai |
source |
25 |
| SGF |
2020 |
Use SAS to Model Non-Linearity |
Xiaoting Wu, Donald S. Likosky |
source |
12 |
| PHUSE EU |
2019 |
SAS/STAT High-performance procedures contrasted with their legacy counterparts |
Roman Ganzha |
source presentation source |
6 |
| SGF |
2018 |
New Ways to Incorporate Continuous Predictors in Generalized Linear Models |
Anthony Salis, Angela Wu, Gordon Johnston |
source |
15 |
| SGF |
2018 |
Prediction and Interpretation for Machine Learning Regression Methods |
David Richard Cutler |
source |
16 |
| SGF |
2018 |
Regression Model Building for Large, Complex Data with SAS Viya Procedures |
Weijie Cai, Robert N. Rodriguez |
source |
22 |
| SGF |
2017 |
Geospatial Analysis: Linear, Nonlinear, or Both? |
Kelsey Osterloo, Angela Wu |
source |
14 |
| SESUG |
2016 |
Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software |
Robert N. Rodriguez |
source |
23 |
| WUSS |
2016 |
Statistical Model Building for Large, Complex Data: Four New Directions in SAS/STAT Software |
Robert N. Rodriguez |
source |
23 |
| SGF |
2016 |
exSPLINE That: Explaining Geographic Variation in Insurance Pricing |
Carol Frigo, Kelsey Osterloo |
source |
6 |
| SGF |
2016 |
Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software |
Bob Rodriguez |
source |
23 |
| WUSS |
2015 |
SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data |
Maura E. Stokes |
source |
25 |
| SGF |
2015 |
SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data |
Maura E. Stokes, Bob Rodriguez |
source |
25 |
| WUSS |
2013 |
Automated Forward and Best Subset Selection for Generalized Additive Models using PROC GAM |
William Garner |
source |
11 |
| NESUG |
2012 |
Generalized Additive Models in Marketing Mix Modeling Revisited |
Patralekha Bhattacharya |
|
9 |
| SGF |
2012 |
Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles |
Ling Huang |
source |
7 |
| NESUG |
2011 |
A Comparison of PDLREG and GAM Procedures in Measuring Dynamic Effects |
Patralekha Bhattacharya |
|
11 |
| NESUG |
2010 |
Using Generalized Additive Models in Marketing Mix Modeling |
Patralekha Bhattacharya |
|
8 |
| NESUG |
2008 |
Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 |
Weijie Cai |
|
14 |
| SGF |
2008 |
Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 |
Weijie Cai |
source |
14 |
| SGF |
2007 |
Improving Credit Scoring by Generalized Additive Model |
Wensui Cela, Jimmy Liu |
source |
9 |
| SUGI |
2004 |
Bayesian Model Averaging Using SAS Software |
Melissa Whitney, Ngo Long |
source |
9 |
| SUGI |
2003 |
Smoothing with SAS PROC MIXED |
Alexander Pedan |
source |
5 |
| MWSUG |
2001 |
Version 8.2 Changes and Enhancements |
Dana Rafiee, Destiny Corporation (a company) |
|
16 |
| PharmaSUG |
2001 |
Fitting Generalized Additive Models with the GAM Procedure |
Dong Xiang |
|
8 |
| SUGI |
2001 |
Fitting Generalized Additive Models with the GAM Procedure |
Dong Xiang |
source |
8 |