| WUSS |
2022 |
Attribute Reduction for Continuous Dependent Variables in SAS |
|
source |
20 |
| SGF |
2019 |
Evaluating and Improving the Efficiency of Inference Rules for Segmentation in SAS |
|
source |
9 |
| WUSS |
2018 |
Dissecting the Burnout Factor for Modeling Mortgage Refinancing |
|
source |
6 |
| WUSS |
2018 |
Using Net Lift Measure to Model the Effects of Changes in Interest Rates on Mortgage Prepayment |
Xiao Hu |
source |
15 |
| SGF |
2018 |
Using Information Value, Information Gain, and Gain Ratio for Detecting Two-Way Interaction Effect |
|
source |
19 |
| WUSS |
2017 |
Data Exploration for Sweet Spots by Using Heat Maps in SAS |
|
source |
7 |
| WUSS |
2017 |
Examining Distributional Shifts by Using Population Stability Index (PSI) for Model Validation and Diagnosis |
|
source |
7 |
| SESUG |
2016 |
Extracting Email Domains and Geo-Processing IP Addresses in SAS |
|
source |
4 |
| SESUG |
2016 |
Simplifying the Use of Multidimensional Array in SAS |
Loan Depot, Foothill Ranch |
source |
5 |
| SESUG |
2015 |
Automating Preliminary Data Cleaning in SAS |
|
source |
5 |
| SESUG |
2015 |
Integrating PROC REG and PROC LOGISTIC for Collinearity Examination, Sample Scoring and Model Evaluation |
|
source |
11 |
| SGF |
2015 |
Entropy-Based Measures of Weight of Evidence and Information Value for Variable Reduction and Segmentation for Continuous Dependent Variables |
|
source |
27 |
| SESUG |
2014 |
Expanding the Use of Weight of Evidence and Information Value to Continuous Dependent Variables for Variable Reduction and Scorecard Development |
Tung-Ying Hsieh |
|
23 |
| SESUG |
2014 |
Trash to Treasures: Salvaging Variables of Extremely Low Coverage for Modeling |
|
source |
5 |
| SGF |
2013 |
Variable Reduction in SAS by Using Weight of Evidence and Information Value |
|
source |
12 |