600 citations · 807 across the 35 of their papers we have counts for
38 papers
A projection approach for multiple monotone regression
Lizhen Lin, Brian St. Thomas, Walter W. Piegorsch +2
Shape-constrained inference has wide applicability in bioassay, medicine, economics, risk assessment, and many other fields. Although there has been a large amount of work on monot…
How Likely are Ride-share Drivers to Earn a Living Wage? Large-scale Spatio-temporal Density Smoothing with the Graph-fused Elastic Net
Mauricio Tec, Natalia Zuniga-Garcia, Randy B. Machemehl +1
Ride-sourcing or transportation network companies (TNCs) provide on-demand transportation service for compensation, connecting drivers of personal vehicles with passengers through…
Optimal post-selection inference for sparse signals: a nonparametric empirical-Bayes approach
Spencer Woody, Oscar Hernan Madrid Padilla, James G. Scott
Many recently developed Bayesian methods have focused on sparse signal detection. However, much less work has been done addressing the natural follow-up question: how to make valid…
Evaluation of Ride-Sourcing Search Frictions and Driver Productivity: A Spatial Denoising Approach
Natalia Zuniga-Garcia, Mauricio Tec, James G. Scott +2
This paper considers the problem of measuring spatial and temporal variation in driver productivity on ride-sourcing trips. This variation is especially important from a driver's p…
Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing
Wesley Tansey, Jesse Thomason, James G. Scott
We consider the problem of estimating a regression function in the common situation where the number of features is small, where interpretability of the model is a high priority, a…
Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
Wesley Tansey, Karl Pichotta, James G. Scott
We present an approach to deep estimation of discrete conditional probability distributions. Such models have several applications, including generative modeling of audio, image, a…