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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

Activity Details


78 *
Sun, 7/31/2016, 4:00 PM - 5:50 PM CC-W184d
For the Love of the Game: Applications of Statistics in Sports — Contributed Papers
Section on Statistics in Sports , Section on Statistical Education
Chair(s): Andrew Swift, University of Nebraska - Omaha
4:05 PM To Go or Not to Go: Fourth Down Analysis in the NFL Dan Nettleton, Iowa State University ; Joshua Zimmerman, Iowa State University
4:20 PM Estimating NCAA Football Coaches' Abilities: An Application of Item Response Theory Brandon LeBeau, University of Iowa ; Andrew Zieffler, University of Minnesota ; Kyle Nickodem, University of Minnesota
4:35 PM Does the Threat of Suspension Curb Dangerous Behavior in Soccer? A Case Study from the Premier League Douglas VanDerwerken, U.S. Naval Academy ; Jacek Rothert, U.S. Naval Academy ; Brice Merlin Nguelifack, U.S. Naval Academy
4:50 PM An Examination of Statistical Disclosure Issues Related to Publication of Aggregate Statistics in the Presence of a Known Subset of the Data Set Using Baseball Hall of Fame Ballots Gregory Matthews ; Petala Gardenia da Silva Estrela Tuy, Loyola University Chicago
5:05 PM Collegiate Football Ticket Sales in El Paso Thomas Fullerton, The University of Texas at El Paso ; Wesley A. Miller, The University of Texas at El Paso
5:35 PM Floor Discussion
 
 

135 *
Mon, 8/1/2016, 8:30 AM - 10:20 AM CC-W175a
Advanced Methods for Statistics in Sports — Contributed Papers
Section on Statistics in Sports
Chair(s): Kendra K. Schmid, University of Nebraska Medical Center
8:50 AM The Penalty Differential Effect in the Calling of Penalties in the NHL Steven E. Rigdon, Saint Louis University ; Christopher J. Rigdon, Lindenwood University-Belleville
9:05 AM Analysis of Basketball Shot Data via Log Gaussian Cox Processes with Spatially Varying Coefficients Qingpo Cai, Emory University ; Jian Kang, University of Michigan ; Lance Waller, Emory University
9:20 AM A Ratio-Based Method for Predicting Point Differentials in Sports Andrew Swift, University of Nebraska - Omaha ; Andrew Tew, University of Nebraska - Omaha
9:35 AM Nuclear Penalized Multinomial Regression for Predicting At-Bat Outcomes in Baseball Scott Powers ; Trevor Hastie, Stanford University ; Robert Tibshirani, Stanford University
9:50 AM A Bayesian Hierarchical Model of Pitch Framing in Major League Baseball Sameer Deshpande, The Wharton School ; Abraham J. Wyner, The Wharton School
10:05 AM A Statistical Study to Determine the Criteria for Winning in Mixed Martial Arts for the Ultimate Fighting Championship (UFC) Victor Villalpando, The University of Texas Rio Grande Valley
 
 

169
Mon, 8/1/2016, 10:30 AM - 12:20 PM CC-W181a
SPEED: Statistical Computing and Sports — Contributed Speed
Section on Statistical Computing , Section on Statistics in Sports
Chair(s): Daniel Yang, Bureau of Labor Statistics
10:35 AM Pitch Quantification in Baseball: Reducing a Pitch to a Single Number Jason Wilson, Biola University
10:40 AM Career Type Assessment of International Cyclists on Ratings from Ranked-Order Logit Model Results for Multi-Competitor Sports Kathryn McKeough ; Mark Glickman, Harvard
10:50 AM Missing Data in the Context of Student Growth Models Katherine Wright, Loyola University Chicago ; John Gatta, Northwestern University, ECRA Group ; Therese D. Pigott, Loyola University Chicago
10:55 AM Developing Tools for Text Analysis of Survey Data Randall Powers, Bureau of Labor Statistics ; Brandon Kopp, Bureau of Labor Statistics ; Wendy Martinez, Bureau of Labor Statistics
11:05 AM Using Play-by-Play Data to Model, Simulate, and Predict NBA Games Sebastian Rodriguez, University of California at Merced
11:10 AM Improved Expected Points and Win Probability Models for NFL Coach and Player Evaluation Gregory Miller, Bucknell University ; Gabrielle Flynt, Bucknell University ; Sam Ventura , Carnegie Mellon University ; Andrew Crossett, West Chester University
11:15 AM Managerial Duration Across Professional Soccer Leagues — Vittorio Addona, Macalester College ; James Meyerson, Macalester College ; Zach Gilfix, Macalester College
11:20 AM The Effect of Accounting for All Weight Adjustments in the Construction of Student Replicate Weights in a National, Cross-Sectional Study Ruby Johnson, RTI International ; Peter Siegel, RTI International
11:35 AM An Adaptive Importance Sampling Approach for Efficiently Estimating Small P-Values in Permutation Tests Yang Shi, University of Michigan ; Huining Kang, University of New Mexico ; Ji-Hyun Lee, University of New Mexico ; Hui Jiang, University of Michigan
11:40 AM Estimating Dynamic Characteristics of Longitudinal and Survival Data in Stochastic Process Models: Insights from Simulation Studies Konstantin Arbeev, Duke University ; Ilya Y. Zhbannikov, Duke University ; Liubov S. Arbeeva, Duke University ; Igor Akushevich, Duke University ; Anatoliy I. Yashin, Duke University
11:45 AM An Efficient Sampling Algorithm for Network Motif Detection Yinghan Chen
11:50 AM A Fast Two-Stage Anomaly-Detecting Method for Large Dynamic Networks Huan Li, University of Alabama ; Michael D. Porter, University of Alabama
11:55 AM Comparison of Single Event, Competing Risks, and Frailty-Based Models for Competing Risks Data Yuliang Liu, University of Alabama at Birmingham ; Charity Morgan, University of Alabama at Birmingham ; Gary R. Cutter, University of Alabama at Birmingham
12:05 PM More Efficient and Robust Permutation-Based Methods for Controlling the False Discovery Rate Divya Nair ; Christopher Corcoran, Utah State University ; Pralay Senchaudhuri, Cytel ; Alexandre Buer, Cytel ; William Welbourn, Jr., Clinipace Worldwide
12:10 PM The Elliptically Symmetric Angular Gaussian Distribution with Application to Regression Modeling on the Sphere Phillip Paine, University of Nottingham
12:15 PM The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data Michael Regier, West Virginia University ; Erica E. M. Moodie, McGill University
 
 

199
Mon, 8/1/2016, 10:30 AM - 12:20 PM CC-Hall F1 West
Contributed Poster Presentations: Section on Statistics in Sports — Contributed Poster Presentations
Section on Statistics in Sports
Chair(s): Genevera Allen, Rice University
63: Is There Any Racial Difference in Swimming Speed? A Nonlinear Swim Hockey-Stick Mixed-Effects Model Din Chen, The University of North Carolina at Chapel Hill ; Jenny Ke Chen, East Chapel Hill High School
64: Classification of All-Rounders in Limited-Over Cricket Ananda Manage ; Danush Wijekularathna, Troy University
65: Rating Offensive Production in Baseball: A Summer with the Martha's Vineyard Sharks — Jesse McNulty, William Penn High School Sports Analytics Club ; Tyler Schanzenbach, William Penn High School Sports Analytics Club
67: Determining a Plus/Minus Metric for NCAA Women's Volleyball from Incomplete Court Presence Information Zachary Hass ; Bruce A. Craig, Purdue University
68: New Classes of Discrete Bivariate Distributions XIAO JIANG, University of Manchester
 
 

Register 206
Mon, 8/1/2016, 12:30 PM - 1:50 PM CC-W476
Section on Statistics in Sports Speaker with Lunch (Added Fee) — Roundtables Speaker with Lunch
Section on Statistics in Sports
Organizer(s): Stephanie Kovalchik, Tennis Australia
ML09: From Pixels to Points: Using Tracking Data to Measure Performance in Professional Sports — Luke Bornn, Simon Fraser University ; Alexander Franks, University of Washington
 
 

266
Mon, 8/1/2016, 2:00 PM - 2:45 PM CC-Hall F1 West
SPEED: Statistical Computing and Sports, Part 2A — Contributed Poster Presentations
Section on Statistical Computing , Section on Statistics in Sports
Chair(s): Genevera Allen, Rice University
1: Pitch Quantification in Baseball: Reducing a Pitch to a Single Number Jason Wilson, Biola University
2: Career Type Assessment of International Cyclists on Ratings from Ranked-Order Logit Model Results for Multi-Competitor Sports Kathryn McKeough ; Mark Glickman, Harvard
4: Effects of Missing Data on Student Growth Estimates Katherine Wright, Loyola University Chicago ; John Gatta, Northwestern University, ECRA Group ; Therese D. Pigott, Loyola University Chicago
5: Developing Tools for Text Analysis of Survey Data Randall Powers, Bureau of Labor Statistics ; Brandon Kopp, Bureau of Labor Statistics ; Wendy Martinez, Bureau of Labor Statistics
7: Using Play-by-Play Data to Model, Simulate, and Predict NBA Games Sebastian Rodriguez, University of California at Merced
8: Improved Expected Points and Win Probability Models for NFL Coach and Player Evaluation Gregory Miller, Bucknell University ; Gabrielle Flynt, Bucknell University ; Sam Ventura , Carnegie Mellon University ; Andrew Crossett, West Chester University
9: Managerial Duration Across Professional Soccer Leagues — Vittorio Addona, Macalester College ; James Meyerson, Macalester College ; Zach Gilfix, Macalester College
10: The Effect of Accounting for All Weight Adjustments in the Construction of Student Replicate Weights in a National, Cross-Sectional Study Ruby Johnson, RTI International ; Peter Siegel, RTI International
The oral portion will take place during Session 213157
 
 

269
Mon, 8/1/2016, 3:05 PM - 3:50 PM CC-Hall F1 West
SPEED: Statistical Computing and Sports, Part 2B — Contributed Poster Presentations
Section on Statistical Computing , Section on Statistics in Sports
Chair(s): Genevera Allen, Rice University
2: An Adaptive Importance Sampling Approach for Efficiently Estimating Small P-Values in Permutation Tests Yang Shi, University of Michigan ; Huining Kang, University of New Mexico ; Ji-Hyun Lee, University of New Mexico ; Hui Jiang, University of Michigan
3: Estimating Dynamic Characteristics of Longitudinal and Survival Data in Stochastic Process Models: Insights from Simulation Studies Konstantin Arbeev, Duke University ; Ilya Y. Zhbannikov, Duke University ; Liubov S. Arbeeva, Duke University ; Igor Akushevich, Duke University ; Anatoliy I. Yashin, Duke University
4: An Efficient Sampling Algorithm for Network Motif Detection Yinghan Chen
5: A Fast Two-Stage Anomaly-Detecting Method for Large Dynamic Networks Huan Li, University of Alabama ; Michael D. Porter, University of Alabama
6: Comparison of Single Event, Competing Risks, and Frailty-Based Models for Competing Risks Data Yuliang Liu, University of Alabama at Birmingham ; Charity Morgan, University of Alabama at Birmingham ; Gary R. Cutter, University of Alabama at Birmingham
8: More Efficient and Robust Permutation-Based Methods for Controlling the False Discovery Rate Divya Nair ; Christopher Corcoran, Utah State University ; Pralay Senchaudhuri, Cytel ; Alexandre Buer, Cytel ; William Welbourn, Jr., Clinipace Worldwide
9: The Elliptically Symmetric Angular Gaussian Distribution with Application to Regression Modeling on the Sphere Phillip Paine, University of Nottingham
10: The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data Michael Regier, West Virginia University ; Erica E. M. Moodie, McGill University
The oral portion will take place during Session 213157
 
 

213676
Mon, 8/1/2016, 5:30 PM - 7:00 PM Off site
Section on Statistics in Sports Business Meeting — Other Cmte/Business
Section on Statistics in Sports
Chair(s): John Emerson, Yale University
 
 

338 * !
Tue, 8/2/2016, 10:30 AM - 12:20 PM CC-W190a
Harnessing the Extraordinary Power of Statistics in Sports — Invited Panel
Section on Statistics in Sports , Section on Statistical Education
Organizer(s): Michael J. Lopez, Skidmore College
Chair(s): Michael Schuckers, St. Lawrence University
10:35 AM Harnessing the Extraordinary Power of Statistics in Sports
Panelists: Ben Baumer, Smith College
Dennis Lock, Miami Dolphins
Brian Macdonald, Florida Panthers
12:15 PM Floor Discussion
 
 

479 * !
Wed, 8/3/2016, 8:30 AM - 10:20 AM CC-W190a
Assessing Player-Level Contributions in the NBA — Topic Contributed Papers
Section on Statistics in Sports
Organizer(s): Michael Crotty, SAS Institute
Chair(s): Michael Crotty, SAS Institute
8:35 AM The Rise and Fall of 'The Black Mamba': Looking Back at Kobe Bryant's Career Clayton Barker, SAS Institute
8:55 AM Meta-Analytics: Evaluating Player Metrics in the NBA Alexander Franks, University of Washington
9:15 AM NBA Court Real Estate: The Value of Positioning and Spacing Daniel Cervone
9:35 AM Don't Believe What You See: Prediction Paradoxes in Sports Alexander D'Amour, Harvard
9:55 AM Floor Discussion
 
 
 
 
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