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Activity Details

72 Sun, 8/7/2022, 4:00 PM - 4:45 PM CC-Hall D
SPEED: Statistical Learning and Data Challenge Part 2 — Contributed Poster Presentations
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
1: 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: Examining Relationships Between Household Conditions and Educational Outcomes at the District Level
Erin Walker Post, The University of Iowa
3: Public Transit Policies to Promote Equitable Urban Mobility
Jenny Y Huang, Duke University; Gaurav Rajesh Parikh, Duke Kunshan University; Albert Sun, Duke University
4: 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
5: LinCDE: Conditional Density Estimation via Lindsey's Method
Zijun Gao, Stanford University; Trevor Hastie, Stanford University
6: Quantifying Estimation Error of Nonlinear Kalman-Type Filters
Shihong Wei, The Johns Hopkins University; James Spall, The Johns Hopkins University
7: 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
8: Stochastic Gradient Descent for Estimation and Inference in Spatial Quantile Models
Gan Luan, New Jersey Institute of Technology; Jimeng Loh, NJIT
9: Popularity Adjusted Block Models Are Generalized Random Dot Product Graphs
John Koo, Indiana University; Minh Tang, North Carolina State University; Michael Trosset, Indiana University
10: Extrapolation Control Using K-Nearest Neighbors
Kasia Dobrzycka, North Carolina State University; Jonathan Stallrich, North Carolina State University; Christopher M. Gotwalt, SAS Institute
11: 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
12: 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
13: 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
14: Utilizing Open Source Resources to Teach Introductory Data Science
Tyler George, Cornell College
15: Fast Bayesian Estimation for Ranking Models
Michael Pearce, University of Washington
16: Diversity in Project-Based Learning Strategy in Undergraduate Statistics Education
Shurong Fang, John Carroll University; Lisa Dierker, Wesleyan University
17: Incorporating Cultural Context in Statistics Courses Through Presentation of Music Videos Before Class
Thomas R. Belin, UCLA Department of Biostatistics
18: Boosting Students' Programming Interest Using an R Shiny Web App Rstats in Introductory Statistics Courses
Xuemao Zhang, East Stroudsburg University
19: Developing Data Science Skills Using Call of Duty Data
Matt Slifko, High Point University
20: Student Perceptions on Reproducible Research in Introductory and Advanced Statistics Courses
Nicholas W Bussberg, Elon University