Household poverty classification in data-scarce environments: A machine learning approach V Kshirsagar, J Wieczorek, S Ramanathan, R Wells arXiv preprint arXiv:1711.06813, 2017 | 52 | 2017 |
Techniques for validating an automatic bottleneck detection tool using archived freeway sensor data J Wieczorek, RJ Fernández-Moctezuma, RL Bertini Transportation research record 2160 (1), 87-95, 2010 | 32 | 2010 |
K‐fold cross‐validation for complex sample surveys J Wieczorek, C Guerin, T McMahon Stat 11 (1), e454, 2022 | 29 | 2022 |
A Bayesian zero-one inflated beta model for estimating poverty in US counties J Wieczorek, S Hawala Joint Statistical Meetings, Miami, FL, 2011 | 28 | 2011 |
Think-aloud interviews: A tool for exploring student statistical reasoning A Reinhart, C Evans, A Luby, J Orellana, M Meyer, J Wieczorek, P Elliott, ... Journal of Statistics and Data Science Education 30 (2), 100-113, 2022 | 22 | 2022 |
A joint confidence region for an overall ranking of populations M Klein, T Wright, J Wieczorek Journal of the Royal Statistical Society Series C: Applied Statistics 69 (3 …, 2020 | 17 | 2020 |
Using Archived ITS Data to Automatically Identify Freeway Bottlenecks in Portland, Oregon RL Bertini, R Fernandez, J Wieczorek, H Li 15th World Congress on ITS, New York City, NY 5, 2008 | 17 | 2008 |
A Bayesian zero-one inflated beta model for small area shrinkage estimation J Wieczorek, C Nugent, S Hawala Joint Statistical Meetings, San Diego, CA, 2012 | 15 | 2012 |
Integrating an Automated Bottleneck Detection Tool into an Online Freeway Data Archive J Wieczorek, L Huan, R Fernandez-Moctezuma, R Bertini 88th Annual Meeting of the Transportation Research Board, Washington, DC, 2009 | 15 | 2009 |
A primer on visualizations for comparing populations, including the issue of overlapping confidence intervals T Wright, M Klein, J Wieczorek The American Statistician 73 (2), 165-178, 2019 | 14 | 2019 |
Model selection properties of forward selection and sequential cross‐validation for high‐dimensional regression J Wieczorek, J Lei Canadian Journal of Statistics 50 (2), 454-470, 2022 | 12 | 2022 |
Using Archived Data to Systematically Identify and Prioritize Freeway Bottlenecks RL Bertini, H Li, J Wieczorek, RJ Fernández-Moctezuma 10th International Conference on Application of Advanced Technologies in …, 2008 | 9 | 2008 |
Ranking Populations Based on Sample Survey Data T Wright, M Klein, J Wieczorek U.S. Census Bureau, Center for Statistical Research & Methodology, Research …, 2014 | 8 | 2014 |
Recall distortion in neural network pruning and the undecayed pruning algorithm A Good, J Lin, X Yu, H Sieg, M Fergurson, S Zhe, J Wieczorek, T Serra Advances in Neural Information Processing Systems 35, 32762-32776, 2022 | 6 | 2022 |
The use of population-based surveys for prosecutions at the International Criminal Court: A case study of Democratic Republic of Congo L Lawry, AM de Brouwer, A Smeulers, JC Rosa, M Kisielewski, K Johnson, ... International Criminal Justice Review 24 (1), 5-21, 2014 | 5 | 2014 |
RankingProject: The Ranking Project: Visualizations for Comparing Populations J Wieczorek R package version 0.2.0, 2020 | 4 | 2020 |
Comparing a Bottleneck Identification Tool with the Congested Traffic Pattern Recognition System ASDA/FOTO Using Archived Freeway Data from Portland, Oregon J Palmer, RL Bertini, H Rehborn, J Wieczorek, RJ Fernández-Moctezuma 16th World Congress on ITS, Stockholm, Sweden, 2009 | 4 | 2009 |
A simple joint confidence region for a ranking of k populations: Application to american community survey’s travel time to work data M Klein, T Wright, J Wieczorek Statistics, 04, 2018 | 3 | 2018 |
An Overview of Some Concepts for Potential Use in Ranking Populations Based on Sample Survey Data T Wright, M Klein, J Wieczorek 2013 World Statistics Congress, Hong Kong, China, 2013 | 3 | 2013 |
Bottleneck Identification and Forecasting in Traveler Information Systems RL Bertini, H Li, J Wieczorek, RJ Fernández-Moctezuma CITE Annual Meeting and Quad Conference, Victoria, Canada, 2008 | 3 | 2008 |