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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

43 Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-105
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 1 — Contributed Speed
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Andrew Swift, University of Nebraska at Omaha
Poster Presentations for this session.
2:05 PM Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept

Oluwagbenga Agboola, University of Northern Colorado
2:10 PM Quantifying the Deception of an MLB Pitch

Jason Wilson, Biola University
2:15 PM Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball

Thomas Rhomberg
2:20 PM Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores
Elizabeth Jewell, University of Michigan
2:25 PM Faint Galaxies Detection: An Example of Guided Follow-Up with Imbalanced Data Sets
Niccolo Dalmasso, Carnegie Mellon University; Ann B. Lee, Carnegie Mellon University; Rafael Izbicki, Federal University of Sao Carlos
2:30 PM Is There Racial Bias in NFL Roughing the Passer Calls?

Nilesh Shah, University of Pittsburgh
2:35 PM Longevity of NFL Players
Masaru Teramoto, University of Utah; Chad Cross, University of Nevada, Las Vegas; Daniel Cushman, University of Utah; Stuart Willick, University of Utah
2:40 PM Determining Optimal Skills for Beach Volleyball Partners

Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
2:45 PM A SHINY Markov Machine for Decision-Making in Major League Baseball

Jason Osborne, North Carolina State University
3:00 PM Meta-Analysis to Quantify Properties of Quarterback Metrics

Julia Stiller; Michael Lopez, Skidmore College
3:05 PM Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors
Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
3:10 PM The Computational Performance of Machine Learning Methods in The Success Prediction of Kickstarter Campaigns
Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
3:15 PM Minute-By-Minute Sleep Data: a SAS Macro to Create Summary Sleep Variables

Laura Grau, University of Colorado-Biostatistics; Jaron Arbet, University of Colorado; Danielle Ostendorf, University of Colorado; Edward L Melanson, University of Colorado; Jill L Kaar, University of Colorado; Victoria A Catenacci, University of Colorado; Seth A. Creasy, University of Colorado
3:20 PM Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression

Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
3:25 PM Information Theoretic Measures of Diversity

Nikhil S Padhye, University of Texas Health Science Center at Houston; Marcia C de Oliveira Otto, University of Texas Health Science Center at Houston
3:30 PM Bayesian Semiparametric ROC Surface Estimation Under Verification Bias

Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
3:35 PM Statistical Inference for L-Moments of Specific, Common Distributions
Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs
3:40 PM Floor Discussion