activity
20112021
most citedActive Learning to Overcome Sample Selection Bias: Application to Photometric Variable Star Classification

65 citations · 123 across the 9 of their papers we have counts for

collaborators
Showing stat.MEShow all

5 papers · 1 filter

stat.ME2020★ 2 cited

A Framework for Mediation Analysis with Multiple Exposures, Multivariate Mediators, and Non-Linear Response Models

James P. Long, Ehsan Irajizad, James D. Doecke +2

Mediation analysis seeks to identify and quantify the paths by which an exposure affects an outcome. Intermediate variables which are effected by the exposure and which effect the…

stat.ME2018

A Flexible Procedure for Mixture Proportion Estimation in Positive-Unlabeled Learning

Zhenfeng Lin, James P. Long

Positive--unlabeled (PU) learning considers two samples, a positive set P with observations from only one class and an unlabeled set U with observations from two classes. The goal…

stat.ME2015

A Note on Parameter Estimation for Misspecified Regression Models with Heteroskedastic Errors

James P. Long

Misspecified models often provide useful information about the true data generating distribution. For example, if is a non-linear function of the least squares estimator $\…

stat.ME2015★ 12 cited

A Study of Functional Depths

James P. Long, Jianhua Z. Huang

Functional depth is used for ranking functional observations from most outlying to most typical. The ranks produced by functional depth have been proposed as the basis for function…

stat.ME2014★ 1 cited

Kernel Density Estimation with Berkson Error

James P. Long, Noureddine El Karoui, John A. Rice

Given a sample from , we construct kernel density estimators for , the convolution of with a known error density . This problem is known as d…