74 citations · 461 across the 38 of their papers we have counts for
6 papers · 1 filter
When to Impute? Imputation before and during cross-validation
Byron C. Jaeger, Nicholas J. Tierney, Noah R. Simon
Cross-validation (CV) is a technique used to estimate generalization error for prediction models. For pipeline modeling algorithms (i.e. modeling procedures with multiple steps), i…
Ensembled sparse-input hierarchical networks for high-dimensional datasets
Jean Feng, Noah Simon
Neural networks have seen limited use in prediction for high-dimensional data with small sample sizes, because they tend to overfit and require tuning many more hyperparameters tha…
Spatial Matrix Completion for Spatially-Misaligned and High-Dimensional Air Pollution Data
Phuong T. Vu, Adam A. Szpiro, Noah Simon
In health-pollution cohort studies, accurate predictions of pollutant concentrations at new locations are needed, since the locations of fixed monitoring sites and study participan…
A general framework for inference on algorithm-agnostic variable importance
Brian D. Williamson, Peter B. Gilbert, Noah R. Simon +1
In many applications, it is of interest to assess the relative contribution of features (or subsets of features) toward the goal of predicting a response -- in other words, to gaug…
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data
Austin E Schumacher, Tyler H McCormick, Jon Wakefield +5
In order to implement disease-specific interventions in young age groups, policy makers in low- and middle-income countries require timely and accurate estimates of age- and cause-…
BigSurvSGD: Big Survival Data Analysis via Stochastic Gradient Descent
Aliasghar Tarkhan, Noah Simon
In many biomedical applications, outcome is measured as a ``time-to-event'' (eg. disease progression or death). To assess the connection between features of a patient and this outc…