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Jerzy Wieczorek
Jerzy Wieczorek
Department of Statistics, Colby College
Dirección de correo verificada de colby.edu - Página principal
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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
512017
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
322010
A Bayesian zero-one inflated beta model for estimating poverty in US counties
J Wieczorek, S Hawala
Joint Statistical Meetings, Miami, FL, 2011
282011
K‐fold cross‐validation for complex sample surveys
J Wieczorek, C Guerin, T McMahon
Stat 11 (1), e454, 2022
252022
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
182022
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
172008
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
152020
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
152009
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
142012
A primer on visualizations for comparing populations, including the issue of overlapping confidence intervals
T Wright, M Klein, J Wieczorek
The American Statistician, 2018
122018
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
102022
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
92008
Ranking Populations Based on Sample Survey Data
T Wright, M Klein, J Wieczorek
U.S. Census Bureau, Center for Statistical Research & Methodology, Research …, 2014
82014
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
52022
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
52014
RankingProject: The Ranking Project: Visualizations for Comparing Populations
J Wieczorek
R package version 0.2.0, 2020
42020
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
42009
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
32018
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
32013
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
32008
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Artículos 1–20