Search Results for author:
Found 5 papers, 3 papers with code
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
We discuss and interpret findings from our model on the US Census Planning Database.
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
Our algorithmic framework consists of approximate and exact algorithms.
COVID-19 second wave mortality in Europe and the United States
Finally, our paper identifies similarities in the trajectories of cases and deaths for European countries and U. S. states.
Time Series Analysis
Physics and Society
Populations and Evolution
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low
We conduct an extensive theoretical analysis of the predictive properties of the proposed approach and provide justification for its superior predictive performance relative to best subset selection when the noise-level is high.
The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization
We propose new discrete first-order methods, which when paired with state-of-the-art MILO solvers, lead to good solutions for the Discrete Dantzig Selector problem for a given computational budget.
