Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
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 Presentation 1 Presentation 2 Oluwagbenga Agboola, University of Northern Colorado
2:10 PM	Quantifying the Deception of an MLB Pitch Presentation Jason Wilson, Biola University
2:15 PM	Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball Presentation 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? Presentation 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 Presentation 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 Presentation Jason Osborne, North Carolina State University
3:00 PM	Meta-Analysis to Quantify Properties of Quarterback Metrics Presentation 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 Presentation 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 Presentation Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
3:25 PM	Information Theoretic Measures of Diversity Presentation 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 Presentation 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

87	Sun, 7/28/2019, 4:00 PM - 4:45 PM	CC-Hall C
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 2 — Contributed Poster Presentations
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
16:	Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept Oluwagbenga Agboola, University of Northern Colorado
17:	Quantifying the Deception of an MLB Pitch Jason Wilson, Biola University
18:	Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball Thomas Rhomberg
19:	Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores Elizabeth Jewell, University of Michigan
20:	Is There Racial Bias in NFL Roughing the Passer Calls? Nilesh Shah, University of Pittsburgh
21:	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
22:	Determining Optimal Skills for Beach Volleyball Partners Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
23:	A SHINY Markov Machine for Decision-Making in Major League Baseball Jason Osborne, North Carolina State University
25:	Meta-Analysis to Quantify Properties of Quarterback Metrics Julia Stiller; Michael Lopez, Skidmore College
26:	Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
27:	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
28:	Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
29:	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
30:	Bayesian Semiparametric ROC Surface Estimation Under Verification Bias Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
31:	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
32:	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
33:	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
Oral Presentations for this session.

197	Mon, 7/29/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom F
Section on Statistics in Sports Speaker with Lunch (Added Fee) — Roundtables Speaker with Lunch
Section on Statistics in Sports
Organizer(s): Sarah Morris, Datalys Center
ML08:	Imagining the Future of Sports Analytics Ben Baumer, Smith College

235 *	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-110
Statistical Analysis of ESports Data — Topic Contributed Papers
Section on Statistics in Sports
Organizer(s): Brian Macdonald, Greater Than Plus Minus
Chair(s): Ryan Elmore, University of Denver
2:05 PM	Introduction to Statistical Analysis of ESports Data Brian Macdonald, Greater Than Plus Minus; Nicholas Clark, West Point
2:25 PM	Statistical Analysis of E-Sports Data Presentation Nicholas Clark, United States Military Academy; Brian Macdonald, Greater Than Plus Minus
2:45 PM	Identifying Symbiotic Relationships Between Champions in League of Legends Presentation Michael Schuckers, St. Lawrence University; Ivan Ramler, St. Lawrence University; Choong-Soo Lee, St. Lawrence University
3:05 PM	Discussant: Nick Wan, Cincinnati Reds
3:25 PM	Discussant: Sandy Weil, Kroenke Sports & Entertainment
3:45 PM	Floor Discussion

258	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-Hall C
Contributed Poster Presentations:Section on Statistics in Sports — Contributed Poster Presentations
Section on Statistics in Sports
Chair(s): Wendy Meiring, University of California At Santa Barbara
99:	A Bayesian Approach to Ranking College Football Teams Cassandra Hiltenbrand, University of Texas at San Antonio; Keying Ye, University of Texas at San Antonio; Jerome Keating, The University of Texas at San Antonio
100:	Bayesian Baseball Blake Shurtz

323 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-708
Causal Inference in Sports Statistics — Invited Papers
Section on Statistics in Sports
Organizer(s): Katherine Evans, Verily Life Sciences
Chair(s): Justin Jacobs, Squared2020 Statistics
10:35 AM	Causality: a Missing Piece in Machine Learning and Reinforcement Learning Approaches to Sports Analytics Alexander N DAmour, Google
11:00 AM	Estimating the Health Consequence of Playing Football: Evidence from Observational Studies Sameer K. Deshpande, CSAIL, MIT; Raiden Hasegawa, University of Pennsylvania; Dylan Small, University of Pennsylvania; Jordan Weiss, University of Pennsylvania
11:25 AM	Treatment Effect Heterogeneity in MLB Bunting Strategies Presentation Katherine Evans, Verily Life Sciences; Michael Lopez, NFL
11:50 AM	Building Blocks for Estimating Causal Effects of Athlete Behavior in Football and Hockey Using Player Tracking Data Presentation Michael Lopez, Skidmore College
12:15 PM	Floor Discussion

473	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-302
For the Love of the Game: Applications of Statistics in Sports — Contributed Papers
Section on Statistics in Sports
Chair(s): Jerome Keating, The University of Texas at San Antonio
8:35 AM	An Analysis of “Weak Goals” as an Additional Tool for Evaluating Ice Hockey Goalies Presentation Ryan Savitz, Neumann University; Helen Cooney, Neumann University; Mya McQueen, Neumann University
8:50 AM	The Home Run Explosion Presentation Jim Albert, Bowling Green State University
9:05 AM	Do Golf Handicaps Always Level the Playing Field? Presentation David Trindade, STAT-TECH
9:20 AM	Soccer Analytics with Two Sheets of Paper and a Pencil Presentation Michael Rutter, Penn State Behrend
9:35 AM	Using Recruiting Rankings and Team Level Measurements to Predict College Football Team Success Presentation Ross Gosky, Appalachian State University; Sydney Singleton, Appalachian State University
9:50 AM	Assessing Referee Bias in College Basketball Presentation Joshua Patrick, Baylor University
10:05 AM	Statistical Analysis of the 2016 Olympic Men’s Volleyball Data Earvin Balderama, California State University, Fresno

578	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-502
Bayesian Methodologies in Sports Statistics — Contributed Papers
Section on Statistics in Sports, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Chair(s): Stephanie Kovalchik, Tennis Australia/Victoria University
2:05 PM	Bayesian Prediction of Metrics in Professional Sports Richard Warr, Brigham Young University; Gil Fellingham, Brigham Young University
2:20 PM	Model Based Estimation of Baseball Batting Metrics Lahiru Wickramasinghe, University of Manitoba; Alexandre Leblanc, University of Manitoba; Saman Muthukumarana, University of Manitoba
2:35 PM	Forecasting Seasonal Batting Outcomes via a Mixed Effects Multinomial-Logistic-Normal Model Presentation Eric A. E. Gerber, Purdue University; Bruce A. Craig, Purdue University
2:50 PM	Probabilistic Forecasts for Chess Player Elo Ratings Presentation Bradford Westgate, Alma College
3:05 PM	Bayesian Hierarchical Modeling of Field Goals in the NFL Sudipto Banerjee, UCLA; Jay Xu, University of California, Los Angeles
3:20 PM	Ranking NCAA Women's Volleyball Teams Accounting for Scoring Inequities Presentation Scott Grimshaw, Brigham Young University; Gil Fellingham, Brigham Young University
3:35 PM	A Bayesian Model for Predicting Point Differentials in Sports Using Ratios Andrew Swift, University of Nebraska at Omaha; Andrew Tew, University of Nebraska at Omaha

JSM 2019 Online Program

Activity Details

American Statistical Association