Jay Bartroff
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View article: Editorial to the special issue: modern streaming data analytics
Editorial to the special issue: modern streaming data analytics Open
View article: Rebalance your portfolio without selling
Rebalance your portfolio without selling Open
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 versions of this problem which have simple, closed form solutions …
View article: Response to Comment by Schilling
Response to Comment by Schilling Open
A response to a letter to the editor by Schilling regarding Bartroff, Lorden,\nand Wang ("Optimal and fast confidence intervals for hypergeometric successes"\n2022, arXiv:2109.05624)\n
View article: Finite-sample bounds to the normal limit under group sequential sampling
Finite-sample bounds to the normal limit under group sequential sampling Open
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 limiting asymptotic multivariate normality of the repeatedly com…
View article: Optimal and Fast Confidence Intervals for Hypergeometric Successes
Optimal and Fast Confidence Intervals for Hypergeometric Successes Open
We present an efficient method of calculating exact confidence intervals for the hypergeometric parameter representing the number of “successes,” or “special items,” in the population. The method inverts minimum-width acceptance intervals …
View article: Optimal hypergeometric confidence sets are (almost) always intervals
Optimal hypergeometric confidence sets are (almost) always intervals Open
We present an efficient method of calculating exact confidence intervals for the hypergeometric parameter. The method inverts minimum-width acceptance intervals after shifting them to make their endpoints nondecreasing while preserving the…
View article: Optimal and fast confidence intervals for hypergeometric successes
Optimal and fast confidence intervals for hypergeometric successes Open
We present an efficient method of calculating exact confidence intervals for the hypergeometric parameter representing the number of "successes," or "special items," in the population. The method inverts minimum-width acceptance intervals …
View article: Effects of stomach content on the breath alcohol concentration‐transdermal alcohol concentration relationship
Effects of stomach content on the breath alcohol concentration‐transdermal alcohol concentration relationship Open
Introduction Wearable devices that obtain transdermal alcohol concentration (TAC) could become valuable research tools for monitoring alcohol consumption levels in naturalistic environments if the TAC they produce could be converted into q…
View article: An Algorithm for Nonparametric Estimation of a Multivariate Mixing Distribution with Applications to Population Pharmacokinetics
An Algorithm for Nonparametric Estimation of a Multivariate Mixing Distribution with Applications to Population Pharmacokinetics Open
Population pharmacokinetic (PK) modeling has become a cornerstone of drug development and optimal patient dosing. This approach offers great benefits for datasets with sparse sampling, such as in pediatric patients, and can describe betwee…
View article: $M$-estimation and deconvolution in a diffusion model with application to biosensor transdermal blood alcohol monitoring
$M$-estimation and deconvolution in a diffusion model with application to biosensor transdermal blood alcohol monitoring Open
We develop $M$-estimation and deconvolution methodology with the goal of making well-founded statistical inference on an individual's blood alcohol level based on noisy measurements of their skin alcohol content. We first apply our results…
View article: $M$-estimation in a diffusion model with application to biosensor transdermal blood alcohol monitoring
$M$-estimation in a diffusion model with application to biosensor transdermal blood alcohol monitoring Open
With the goal of well-founded statistical inference on an individual's blood alcohol level based on noisy measurements of their skin alcohol content, we develop $M$-estimation methodology in a general setting. We then apply it to a diffusi…
View article: Sequential tests of multiple hypotheses controlling false discovery and nondiscovery rates
Sequential tests of multiple hypotheses controlling false discovery and nondiscovery rates Open
We propose a general and flexible procedure for testing multiple hypotheses about sequential (or streaming) data that simultaneously controls both the false discovery rate (FDR) and false nondiscovery rate (FNR) under minimal assumptions a…
View article: An Algorithm for Nonparametric Estimation of A Multivariate Mixing Distribution with Applications to Population Pharmacokinetics
An Algorithm for Nonparametric Estimation of A Multivariate Mixing Distribution with Applications to Population Pharmacokinetics Open
In this paper we describe a nonparametric maximum likelihood (NPML) method for estimating multivariate mixing distributions. Given $N$ independent observations, convexity theory shows that the NPML estimator is discrete with at most $N$ su…
View article: Asymptotically optimal sequential FDR and pFDR control with (or without) prior information on the number of signals
Asymptotically optimal sequential FDR and pFDR control with (or without) prior information on the number of signals Open
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 ("signals"). We show that the "gap" and "gap-intersection" procedur…
View article: Bounded size biased couplings, log concave distributions and concentration of measure for occupancy models
Bounded size biased couplings, log concave distributions and concentration of measure for occupancy models Open
Threshold-type counts based on multivariate occupancy models with log concave marginals admit bounded size biased couplings under weak conditions, leading to new concentration of measure results for random graphs, germ-grain models in stoc…
View article: Multiple Hypothesis Tests Controlling Generalized Error Rates for Sequential Data
Multiple Hypothesis Tests Controlling Generalized Error Rates for Sequential Data Open
The $γ$-FDP and $k$-FWER multiple testing error metrics, which are tail probabilities of the respective error statistics, have become popular recently as less-stringent alternatives to the FDR and FWER. We propose general and flexible step…
View article: A Rejection Principle for Sequential Tests of Multiple Hypotheses Controlling Familywise Error Rates
A Rejection Principle for Sequential Tests of Multiple Hypotheses Controlling Familywise Error Rates Open
We present a unifying approach to multiple testing procedures for sequential (or streaming) data by giving sufficient conditions for a sequential multiple testing procedure to control the familywise error rate (FWER). Together, we call the…