All Times EDT
Legend:
Activity Details
141 * !
Tue, 8/10/2021,
10:00 AM -
11:50 AM
Virtual
Bayesian Meets Basketball — Invited Papers
Section on Statistics in Sports , Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science
Organizer(s): Guanyu Hu, University of Missouri - Columbia
Chair(s): Hal Stern, University of California Irvine
10:05 AM
Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach
Guanyu Hu, University of Missouri - Columbia ; Weining Shen, University of California Irvine ; Fan Ying, Microsoft
10:30 AM
It's Fun Getting into (Foul) Trouble
Presentation
Dani Chu, Seattle Kraken ; Tim Swartz, Simon Fraser University
10:55 AM
Guard Me If You Can: Revealing the Hidden Dynamics of Sports Interactions Using the Intrinsic Dimension
Edgar Santos-Fernandez, Queensland University of Technology ; Francesco Denti, University of California, Irvine; Kerrie Mengersen, Queensland University of Technology; Antonietta Mira, Università della Svizzera italiana and University of Insubria
11:20 AM
Discussant: Shane Jensen, University of Pennsylvania
11:40 AM
Floor Discussion
243
Wed, 8/11/2021,
10:00 AM -
11:50 AM
Virtual
Statistics in Sports and Beyond — Contributed Speed
Section on Statistics in Sports
Chair(s): Guanyu Hu, University of Missouri - Columbia
10:05 AM
A Comparison of the Quantity of MLB Players Produced by US Region: 1994-2019
Jonathan Bishop, Kennesaw State University ; Austin Brown, Kennesaw State University
10:10 AM
Comprehensive Geostatistical Techniques Illustrated by 'Spatial Boxplots' of Baseball Heat Maps
Dana Sylvan, CUNY Hunter College ; Jared Cross, St Ann's School
10:15 AM
Zero-Inflated Poisson Model with Clustered Regression Coefficients: An Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball Players
Hou-Cheng Yang, FDA
10:20 AM
The Success of Major League Baseball Starting Pitcher Rotations Based Among Pitching Profiles
Peyton Sumpter, University of Missouri ; Erin M Schliep, University of Missouri
10:25 AM
Russell, Jordan, Abdul-Jabbar Who Is the Greatest NBA Champion of All: Using a New Metric to Assess Strength of Their Championships
Kevin Paul Tolliver, U.S. Census Bureau
10:30 AM
Predicting the Baseball Winning Percentage Using Three Regression Models
Abdelmonaem Jornaz, Northwest Missouri State University
10:35 AM
Partially Constrained Group Variable Selection to Adjust for Complementary Unit Performance in American College Football
Andrey Vladimirovich Skripnikov, New College of Florida
10:40 AM
Characteristics of Major League Baseball Pitchers After Single and Revision Tommy John Surgery
Masaru Teramoto, University of Utah ; Chad L. Cross, University of Nevada, Las Vegas
10:45 AM
Statistical Methods for Learning Dynamic Networks from Player Tracking Data in Soccer
Shirley Rojas Salazar, University of Missouri ; Erin M Schliep, University of Missouri; Christopher Wikle, University of Missouri
10:50 AM
Assessing Racial Differences in the Tenures of College Football Coaches Using Survival Analysis
Mac Wetherbee, University of Denver
11:00 AM
Predicting the Outcome of Shotokan Karate Matches
Presentation
Ryan Savitz, Neumann University ; Olivia DiDonato, Neumann University
11:05 AM
Repeated Measures Investigation of the Change in Between-Limb Gait Asymmetries for Post-ACLR Subjects in an Asymmetric Walking Rehabilitation Protocol
Carolyn B Morgan, MECK Limited LLC ; Yannis K Halkiadakis, University of Connecticut; Kristin D Morgan, University of Connecticut
11:10 AM
Predicting Sports Readiness and Injury Risk of UCONN Athletes Using Novel Statistical Metrics
Morris H Morgan, Meck Limited, LLC ; Catie Dann, UCONN Athletic ; Yannis K Halkiadakis, University of Connecticut; Kristin D Morgan, University of Connecticut
11:15 AM
Determining an Enhanced Forecasting Model for Caribbean Premier League (CPL) T20 Cricket
Rudrunath Singh, The University of the West Indies ; Isaac Dialsingh, The University of the West Indies
11:20 AM
Testing Zero Inflation in Marginal Poisson Regression Models for Longitudinal Data
Hua He, Tulane Univesrity ; Wan Tang, Tulane Univesrity; Tingjie Zhao, Tulane University
11:25 AM
A Flexible Univariate Moving Average Time-Series Model for Dispersed Count Data
Kimberly Sellers, Georgetown University / U.S. Census Bureau ; Ali Arab, Georgetown University; Sean Melville, Citigroup; Fanyu Cui, Yimian by Ascential
11:30 AM
A Markov Chain Approach to Coupon Collector's Problem
ILHAN M. IZMIRLI, 5559500017
339 * !
Thu, 8/12/2021,
10:00 AM -
11:50 AM
Virtual
Using Sports Analytics to Inspire Student Interest in Statistics and Storytelling with Data — Invited Panel
Section on Statistics in Sports , Section on Statistics and Data Science Education, Mathematical Association of America
Organizer(s): Brian Macdonald, ESPN
Chair(s): Gregory Matthews, Loyola University Chicago
10:05 AM
Using Sports Analytics to Inspire Student Interest in Statistics and Storytelling with Data
Panelists:
Michael Schuckers, St. Lawrence University Rebecca Nugent, Carnegie Mellon University Asmae Toumi, hockey-graphs.com Tim Swartz, Simon Fraser University
11:40 AM
Floor Discussion
