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Activity Details

27 Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-140A
SPEED: Statistical Learning and Data Challenge Part 1 — Contributed Speed
Section on Statistical Learning and Data Science, Section on Bayesian Statistical Science, Section on Statistics and Data Science Education
Chair(s): Dena M Asta, The Ohio State University
2:05 PM Understanding Changes of Racial and Ethnic Representation in Homeowners and US Post-Secondary Institutions
Jhonatan Jorge Medri Cobos, University of South Florida; Tejasvi Channagiri, University of South Florida
2:10 PM Examining Relationships Between Household Conditions and Educational Outcomes at the District Level
Erin Walker Post, The University of Iowa
2:15 PM Public Transit Policies to Promote Equitable Urban Mobility
Jenny Y Huang, Duke University; Gaurav Rajesh Parikh, Duke Kunshan University; Albert Sun, Duke University
2:20 PM Are There Home Affordability Hot Spots in the United States?
Dane Korver, NC State University; Maegan Frederick, NC State University; Fang Wu, NC State University
2:25 PM LinCDE: Conditional Density Estimation via Lindsey's Method
Zijun Gao, Stanford University; Trevor Hastie, Stanford University
2:30 PM Quantifying Estimation Error of Nonlinear Kalman-Type Filters
Shihong Wei, The Johns Hopkins University; James Spall, The Johns Hopkins University
2:35 PM Random Forest for Individualized Treatment Regimes in Observational Student Success Studies
Juanjuan Fan, San Diego State University; Luo Li, San Diego State University; Richard A Levine, San Diego State University
2:40 PM Stochastic Gradient Descent for Estimation and Inference in Spatial Quantile Models
Gan Luan, New Jersey Institute of Technology; Jimeng Loh, NJIT
2:45 PM Popularity Adjusted Block Models Are Generalized Random Dot Product Graphs
John Koo, Indiana University; Minh Tang, North Carolina State University; Michael Trosset, Indiana University
2:50 PM Extrapolation Control Using K-Nearest Neighbors
Kasia Dobrzycka, North Carolina State University; Jonathan Stallrich, North Carolina State University; Christopher M. Gotwalt, SAS Institute
3:00 PM Changes in Undergraduate Attitudes Towards Statistics After Working as Statistical Consultants
Tracy Morris, University of Central Oklahoma; Tyler Cook, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma
3:05 PM A Continual Learning Framework for Adaptive Defect Classification and Inspection
Wenbo Sun, University of Michigan Transportation Research Institute; Raed Al Kontar, University of Michigan; Judy Jin, University of Michigan; Tzyy-Shuh Chang, OG Technology
3:10 PM HODOR: A Two-Stage Hold-Out Design for Online Controlled Experimentation on Networks
Nicholas Alfredo Larsen, North Carolina State University; Jonathan Stallrich, North Carolina State University; Srijan Sengupta, NCSU
3:15 PM Utilizing Open Source Resources to Teach Introductory Data Science
Tyler George, Cornell College
3:20 PM Fast Bayesian Estimation for Ranking Models
Michael Pearce, University of Washington
3:25 PM Diversity in Project-Based Learning Strategy in Undergraduate Statistics Education
Shurong Fang, John Carroll University; Lisa Dierker, Wesleyan University
3:30 PM Incorporating Cultural Context in Statistics Courses Through Presentation of Music Videos Before Class
Thomas R. Belin, UCLA Department of Biostatistics
3:35 PM Boosting Students' Programming Interest Using an R Shiny Web App Rstats in Introductory Statistics Courses
Xuemao Zhang, East Stroudsburg University
3:40 PM Developing Data Science Skills Using Call of Duty Data
Matt Slifko, High Point University
3:45 PM Student Perceptions on Reproducible Research in Introductory and Advanced Statistics Courses
Nicholas W Bussberg, Elon University