Online Program Home
My Program

Keyword Search

Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Boosting returned 14 record(s)
Sunday, 07/31/2016
On the Discovery and Use of Disease Risk Factors with Logistic Regression: New Prostate Cancer Risk Factors
David Booth, Kent State University; Venugopal Gopapalakrishna-Remani, The University of Texas at Tyler; Matthew Cooper, Washington University; Fiona Green, University of Manchester; Margaret Rayman, University of Surrey
2:20 PM

Xgboost: An R Package for Fast and Accurate Gradient Boosting
Tong He, Simon Fraser University
3:25 PM

Tuesday, 08/02/2016
Machine Learning for Exploratory Analyses of Psychological Data
Gitta Lubke


Predicting Binary Outcome with Unequal Misclassification Cost
Shuchismita Sarkar, University of Alabama; Michael D. Porter, University of Alabama


Maximizing Text Mining Performance: The Impact of Pre-Processing
Dario Gregori, University of Padova; Paola Berchialla, University of Torino; Nicola Soriani, University of Padova; Ileana Baldi, University of Padova; Corrado Lanera, University of Padova


Imputing Data That Are Missing at High Rates Using a Boosting Algorithm
Katherine Cauthen, Sandia National Laboratories; Gregory Lambert, Sandia National Laboratories; Jaideep Ray, Sandia National Laboratories; Sophia Lefantzi, Sandia National Laboratories
8:35 AM

Stagewise Generalized Estimating Equations
Gregory Vaughan, University of Connecticut; Robert Aseltine, University of Connecticut Health Center; Kun Chen, University of Connecticut; Jun Yan, University of Connecticut
9:20 AM

Maximizing Text Mining Performance: The Impact of Pre-Processing
Dario Gregori, University of Padova; Paola Berchialla, University of Torino; Nicola Soriani, University of Padova; Ileana Baldi, University of Padova; Corrado Lanera, University of Padova
11:55 AM

Wednesday, 08/03/2016
Response Propensity and Motivated Under-Reporting: Do Persons Likely to Respond Give Better Answers to Filter and Eligibility Questions?
Jessica Wengrzik, GESIS; Stephanie Eckman, RTI International ; Ruben Bach, Institute for Employment Research
9:35 AM

Modeling an Ordinal Outcome in High Dimensions with Nonparametric Feature Augmentation and Proportional Odds Boosting
Kyle Ferber, Virginia Commonwealth University; Kellie J. Archer, Virginia Commonwealth University
10:35 AM

Boosting the Power of Phase II and III Oncology Studies Using Project Data Sphere
Greg Hather, Takeda; Ray Liu, Takeda
10:55 AM

ThrEEBoost: Thresholded Boosting for Variable Selection and Prediction via Estimating Equations
Benjamin Brown
3:20 PM

Thursday, 08/04/2016
Subgroup Identification Based on Multiple Outcomes
Chensheng Kuang, University of Wisconsin - Madison; Menggang Yu, University of Wisconsin - Madison; Sijian Wang, University of Wisconsin - Madison
9:15 AM

Scalable High-Performance Prediction with XGBoost
Ewa Nowakowska, GfK; Joseph Retzer, ACT Market Research Solutions
12:05 PM

 
 
Copyright © American Statistical Association