activity
20062024
most citedTwo General Methods for Population Pharmacokinetic Modeling: Non-Parametric Adaptive Grid and Non-Parametric Bayesian

82 citations · 199 across the 24 of their papers we have counts for

collaborators

28 papers

stat.ME2024

Reply to Comment by Schilling on their paper "Optimal and fast confidence intervals for hypergeometric successes"

Jay Bartroff, Gary Lorden, Lijia Wang

A response to a letter to the editor by Schilling regarding Bartroff, Lorden, and Wang ("Optimal and fast confidence intervals for hypergeometric successes" 2022, arXiv:2109.05624)

math.OC2023

Rebalance your portfolio without selling

Jay Bartroff

How do you bring your assets as close as possible to your target allocation by only investing a fixed amount of additional funds, and not selling any assets? We look at two version…

math.ST2023

Finite-sample bounds to the normal limit under group sequential sampling

Julian Aronowitz, Jay Bartroff

In group sequential analysis, data is collected and analyzed in batches until pre-defined stopping criteria are met. Inference in the parametric setup typically relies on the limit…

stat.ME2021

Optimal and fast confidence intervals for hypergeometric successes

Jay Bartroff, Gary Lorden, Lijia Wang

We present an efficient method of calculating exact confidence intervals for the hypergeometric parameter representing the number of "successes," or "special items," in the populat…

stat.AP2020

-estimation and deconvolution in a diffusion model with application to biosensor transdermal blood alcohol monitoring

Maria Allayioti, Jay Bartroff, Haoxing Liu +3

We develop -estimation and deconvolution methodology with the goal of making well-founded statistical inference on an individual's blood alcohol level based on noisy measurement…

stat.ME2019

Asymptotically optimal sequential FDR and pFDR control with (or without) prior information on the number of signals

Xinrui He, Jay Bartroff

We investigate asymptotically optimal multiple testing procedures for streams of sequential data in the context of prior information on the number of false null hypotheses ("signal…