600 citations · 807 across the 35 of their papers we have counts for
19 papers · 1 filter
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…
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…
Sequential nonparametric tests for a change in distribution: an application to detecting radiological anomalies
Oscar Hernan Madrid Padilla, Alex Athey, Alex Reinhart +1
We propose a sequential nonparametric test for detecting a change in distribution, based on windowed Kolmogorov--Smirnov statistics. The approach is simple, robust, highly computat…
A deconvolution path for mixtures
Oscar Hernan Madrid Padilla, Nicholas G. Polson, James G. Scott
We propose a class of estimators for deconvolution in mixture models based on a simple two-step "bin-and-smooth" procedure applied to histogram counts. The method is both statistic…
Nonparametric density estimation by histogram trend filtering
Oscar Hernan Madrid Padilla, James G. Scott
We propose a novel approach for density estimation called histogram trend filtering. Our estimator arises from looking at surrogate Poisson model for counts of observations in a pa…
Multiscale spatial density smoothing: an application to large-scale radiological survey and anomaly detection
Wesley Tansey, Alex Athey, Alex Reinhart +1
We consider the problem of estimating a spatially varying density function, motivated by problems that arise in large-scale radiological survey and anomaly detection. In this conte…