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
01:
Exploratory Analysis of Racial Representation in American Home Ownership
Jhonatan Jorge Medri Cobos, University of South Florida ; Tejasvi Channagiri, University of South Florida
02:
Examining Relationships Between Household Conditions and Educational Outcomes at the District Level
Erin Walker Post, The University of Iowa
03:
Public Transit Policies to Promote Equitable Urban Mobility
Jenny Y Huang, Duke University ; Gaurav Rajesh Parikh, Duke Kunshan University; Albert Sun, Duke University
04:
Are There Home Affordability Hot Spots in the United States?
05:
LinCDE: Conditional Density Estimation via Lindsey's Method
Zijun Gao, Stanford University ; Trevor Hastie, Stanford University
06:
Quantifying Estimation Error of Nonlinear Kalman-Type Filters
Shihong Wei, The Johns Hopkins University ; James Spall, The Johns Hopkins University
07:
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
08:
Stochastic Gradient Descent for Estimation and Inference in Spatial Quantile Models
Jimeng Loh, NJIT
09:
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
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
20:
Student Perceptions on Reproducible Research in Introductory and Advanced Statistics Courses
Nicholas W Bussberg, Elon University
