47 citations · 81 across the 5 of their papers we have counts for
5 papers
A method for empirically assessing small area estimators via bootstrap-weighted k-Nearest-Neighbor artificial populations, with applications to forest inventory
Grayson W. White, Jerzy A. Wieczorek, Zachariah W. Cody +5
National Forest Inventories (NFIs) monitor forest attributes across a variety of spatial and temporal scales in a given country. Increased interest in reporting and management at s…
Design-based conformal prediction
Jerzy Wieczorek
Conformal prediction is an assumption-lean approach to generating distribution-free prediction intervals or sets, for nearly arbitrary predictive models, with guaranteed finite-sam…
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Aidan Good, Jiaqi Lin, Hannah Sieg +5
Pruning techniques have been successfully used in neural networks to trade accuracy for sparsity. However, the impact of network pruning is not uniform: prior work has shown that t…
Think-aloud interviews: A tool for exploring student statistical reasoning
Alex Reinhart, Ciaran Evans, Amanda Luby +6
Think-aloud interviews have been a valuable but underused tool in statistics education research. Think-alouds, in which students narrate their reasoning in real time while solving…
Household poverty classification in data-scarce environments: a machine learning approach
Varun Kshirsagar, Jerzy Wieczorek, Sharada Ramanathan +1
We describe a method to identify poor households in data-scarce countries by leveraging information contained in nationally representative household surveys. It employs standard st…