Curriculum Vitae (CV):
[pdf, last updated Jan 2024]
Google Scholar:
[link]
Papers and preprints
- White, G., Wieczorek, J., Cody, Z., Tan, E., Chistolini, J., McConville, K., Frescino, T., and Moisen, G. (2024+)
Assessing small area estimates via bootstrap-weighted k-Nearest-Neighbor artificial populations
arXiv preprint; under revision. - Wieczorek, J. (2023)
Design-based conformal prediction
Survey Methodology, 49 (2), released Jan 3, 2024. - Good, A., Lin, J., Sieg, H., Fergurson, M., Yu, X., Zhe, S., Wieczorek, J., and Serra, T. (2022)
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Advances in Neural Information Processing Systems 35 (NeurIPS 2022), accepted September 14, 2022. - Reinhart, A., Evans, C., Luby, A., Orellana, J., Meyer, M., Wieczorek, J., Elliott, P., Burckhardt, P., and Nugent, R. (2022)
Think-aloud interviews: A tool for exploring student statistical reasoning
Journal of Statistics and Data Science Education, 30 (2), 100-113, published online April 22, 2022. - Wieczorek, J., Guerin, C., and McMahon, T. (2022)
K-fold cross-validation for complex sample surveys
Stat, 11 (1), e454, published online January 12, 2022. - Wieczorek, J. and Lei, J. (2022)
Model-Selection Properties of Forward Selection and Sequential Cross-Validation for High-Dimensional Regression
Canadian Journal of Statistics, 50 (2), 454-470, published online July 22, 2021 [full text read-only link]. - Klein, M., Wright, T., and Wieczorek, J. (2020)
A joint confidence region for an overall ranking of populations
Journal of the Royal Statistical Society: Series C, 69 (3), 589-606. - Wright, T., Klein, M., and Wieczorek, J. (2019)
A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals
The American Statistician, 73 (2), 165-178. - Kshirsagar, V., Wieczorek, J., Ramanathan, S., and Wells, R. (2017)
Household poverty classification in data-scarce environments: a machine learning approach
Best Paper Award at the NeurIPS 2017 Workshop on Machine Learning for the Developing World. - Lawry, L., de Brouwer, A.M., Smeulers, A., Rosa, J.C., Kisielewski, M., Johnson, K., Scott, J., and Wieczorek, J. (2014)
The Use of Population-Based Surveys for Prosecutions at the International Criminal Court: A Case Study of Democratic Republic of Congo
International Criminal Justice Review, 24 (1), 5-21. - Wieczorek, J., Fernandez-Moctezuma, R., and Bertini, R.L. (2010)
Techniques for Validating an Automatic Bottleneck Detection Tool Using Archived Freeway Sensor Data
Transportation Research Record: Journal of the Transportation Research Board, 2160, 87-95.
Selected software
- R package
CIPerm
(CRAN, GitHub) with computationally-efficient confidence intervals for mean shift from permutation methods; joint work with Emily Tupaj, Colby class of 2021 - R package
surveyCV
(CRAN, GitHub) with K-fold cross validation for complex sample survey designs; joint work with Cole Guerin and Thomas McMahon, both Colby class of 2021 - R package
RankingProject
(CRAN, GitHub) with visualizations for comparing independently-sampled populations; joint work with Tommy Wright, Martin Klein, and Adam Hall, U.S. Census Bureau - R Shiny app
Apportionment Calculator
, to accompany Tommy Wright’s Amstat News article on “Demystifying Apportionment Computations for the US House of Representatives”