{"id":29,"date":"2019-07-23T18:08:59","date_gmt":"2019-07-23T18:08:59","guid":{"rendered":"http:\/\/web.colby.edu\/jawieczo\/?page_id=29"},"modified":"2025-11-29T16:19:03","modified_gmt":"2025-11-29T16:19:03","slug":"research","status":"publish","type":"page","link":"https:\/\/web.colby.edu\/jawieczo\/research\/","title":{"rendered":"Research"},"content":{"rendered":"<p>Curriculum Vitae (CV):<br \/>\n[<a href=\"http:\/\/civilstat.com\/portfolio\/Wieczorek_CV_ForWeb.pdf\">pdf<\/a>, last updated Jan 2024]<\/p>\n<p>Google Scholar:<br \/>\n[<a href=\"https:\/\/scholar.google.com\/citations?user=pBT8CO8AAAAJ\">link<\/a>]<\/p>\n<h1>Papers and preprints<\/h1>\n<ul>\n<li>White, G., Wieczorek, J., Cody, Z., Tan, E., Chistolini, J., McConville, K., Frescino, T., and Moisen, G. (2025)<br \/>\n<a href=\"https:\/\/doi.org\/10.1093\/forestry\/cpaf071\">A method for empirically assessing small area estimators via bootstrap-weighted k-nearest-neighbor artificial populations, with applications to forest inventory<\/a><br \/>\n<em>Forestry: An International Journal of Forest Research<\/em>, published online Nov 24, 2025.<\/li>\n<li>Wieczorek, J. (2023)<br \/>\n<a href=\"https:\/\/www150.statcan.gc.ca\/n1\/pub\/12-001-x\/2023002\/article\/00007-eng.htm\">Design-based conformal prediction<\/a><br \/>\n<em>Survey Methodology<\/em>, 49 (2), released Jan 3, 2024.<\/li>\n<li>Good, A., Lin, J., Sieg, H., Fergurson, M., Yu, X., Zhe, S., Wieczorek, J., and Serra, T. (2022)<br \/>\n<a href=\"https:\/\/papers.nips.cc\/paper_files\/paper\/2022\/hash\/d3303e0ca98a267164d905bbc7947f88-Abstract-Conference.html\">Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm<\/a><br \/>\n<em>Advances in Neural Information Processing Systems 35 (NeurIPS 2022)<\/em>, accepted September 14, 2022.<\/li>\n<li>Reinhart, A., Evans, C., Luby, A., Orellana, J., Meyer, M., Wieczorek, J., Elliott, P., Burckhardt, P., and Nugent, R. (2022)<br \/>\n<a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/26939169.2022.2063209\">Think-aloud interviews: A tool for exploring student statistical reasoning<\/a><br \/>\n<em>Journal of Statistics and Data Science Education<\/em>, 30 (2), 100-113, published online April 22, 2022.<\/li>\n<li>Wieczorek, J., Guerin, C., and McMahon, T. (2022)<br \/>\n<a href=\"https:\/\/doi.org\/10.1002\/sta4.454\">K-fold cross-validation for complex sample surveys<\/a><br \/>\n<em>Stat<\/em>, 11 (1), e454, published online January 12, 2022.<\/li>\n<li>Wieczorek, J. and Lei, J. (2022)<br \/>\n<a href=\"https:\/\/doi.org\/10.1002\/cjs.11635\">Model-Selection Properties of Forward Selection and Sequential Cross-Validation for High-Dimensional Regression<\/a><br \/>\n<em>Canadian Journal of Statistics<\/em>, 50 (2), 454-470, published online July 22, 2021 <a href=\"https:\/\/onlinelibrary.wiley.com\/share\/author\/RRPJCNMYPBGUR85KRKY6?target=10.1002\/cjs.11635\">[full text read-only link]<\/a>.<\/li>\n<li>Klein, M., Wright, T., and Wieczorek, J. (2020)<br \/>\n<a href=\"https:\/\/doi.org\/10.1111\/rssc.12402\">A joint confidence region for an overall ranking of populations<\/a><br \/>\n<em>Journal of the Royal Statistical Society: Series C<\/em>, 69 (3), 589-606.<\/li>\n<li>Wright, T., Klein, M., and Wieczorek, J. (2019)<br \/>\n<a href=\"https:\/\/doi.org\/10.1080\/00031305.2017.1392359\">A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals<\/a><br \/>\n<em>The American Statistician<\/em>,\u00a073 (2), 165-178.<\/li>\n<li>Kshirsagar, V., Wieczorek, J., Ramanathan, S., and Wells, R. (2017)<br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/1711.06813\">Household poverty classification in data-scarce environments: a machine learning approach<\/a><br \/>\nBest Paper Award at the <a href=\"https:\/\/arxiv.org\/abs\/1711.09522\">NeurIPS 2017 Workshop on Machine Learning for the Developing World<\/a>.<\/li>\n<li>Lawry, L., de Brouwer, A.M., Smeulers, A., Rosa, J.C., Kisielewski, M., Johnson, K., Scott, J., and Wieczorek, J. (2014)<br \/>\n<a href=\"https:\/\/doi.org\/10.1177%2F1057567714523982\">The Use of Population-Based Surveys for Prosecutions at the International Criminal Court: A Case Study of Democratic Republic of Congo<\/a><br \/>\n<em>International Criminal Justice Review<\/em>, 24 (1), 5-21.<\/li>\n<li>Wieczorek, J., Fernandez-Moctezuma, R., and Bertini, R.L. (2010)<br \/>\n<a href=\"https:\/\/doi.org\/10.3141\/2160-10\">Techniques for Validating an Automatic Bottleneck Detection Tool Using Archived Freeway Sensor Data<\/a><br \/>\n<em>Transportation Research Record: Journal of the Transportation Research Board<\/em>, 2160, 87-95.<\/li>\n<\/ul>\n<h1>Selected software<\/h1>\n<ul>\n<li>R package\u00a0<code>CIPerm<\/code>\u00a0(<a href=\"https:\/\/cran.r-project.org\/package=CIPerm\">CRAN<\/a>, <a href=\"https:\/\/github.com\/ColbyStatSvyRsch\/CIPerm\">GitHub<\/a>)\u00a0with computationally-efficient confidence intervals for mean shift from permutation methods; joint work with Emily Tupaj, Colby class of 2021<\/li>\n<li>R package\u00a0<code>surveyCV<\/code>\u00a0(<a href=\"https:\/\/cran.r-project.org\/package=surveyCV\">CRAN<\/a>, <a href=\"https:\/\/github.com\/ColbyStatSvyRsch\/surveyCV\">GitHub<\/a>)\u00a0with K-fold cross validation for complex sample survey designs; joint work with Cole Guerin and Thomas McMahon, both Colby class of 2021<\/li>\n<li>R package\u00a0<code>RankingProject<\/code>\u00a0(<a href=\"https:\/\/cran.r-project.org\/package=RankingProject\">CRAN<\/a>, <a href=\"https:\/\/github.com\/civilstat\/RankingProject\">GitHub<\/a>)\u00a0with visualizations for comparing independently-sampled populations; joint work with Tommy Wright, Martin Klein, and Adam Hall, U.S. Census Bureau<\/li>\n<li>R Shiny app <a href=\"https:\/\/civilstat.shinyapps.io\/ApportionmentCalculator\/\"><code>Apportionment Calculator<\/code><\/a>, to accompany Tommy Wright&#8217;s Amstat News article on <a href=\"https:\/\/magazine.amstat.org\/blog\/2021\/07\/01\/computations-us-house\/\">&#8220;Demystifying Apportionment Computations for the US House of Representatives&#8221;<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>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. (2025) A method for empirically assessing small area estimators via bootstrap-weighted k-nearest-neighbor artificial populations, with applications to forest inventory Forestry: An International Journal of &#8230; <a title=\"Research\" class=\"read-more\" href=\"https:\/\/web.colby.edu\/jawieczo\/research\/\" aria-label=\"More on Research\">Read more<\/a><\/p>\n","protected":false},"author":9316,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/web.colby.edu\/jawieczo\/wp-json\/wp\/v2\/pages\/29"}],"collection":[{"href":"https:\/\/web.colby.edu\/jawieczo\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.colby.edu\/jawieczo\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.colby.edu\/jawieczo\/wp-json\/wp\/v2\/users\/9316"}],"replies":[{"embeddable":true,"href":"https:\/\/web.colby.edu\/jawieczo\/wp-json\/wp\/v2\/comments?post=29"}],"version-history":[{"count":50,"href":"https:\/\/web.colby.edu\/jawieczo\/wp-json\/wp\/v2\/pages\/29\/revisions"}],"predecessor-version":[{"id":355,"href":"https:\/\/web.colby.edu\/jawieczo\/wp-json\/wp\/v2\/pages\/29\/revisions\/355"}],"wp:attachment":[{"href":"https:\/\/web.colby.edu\/jawieczo\/wp-json\/wp\/v2\/media?parent=29"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}