activity
20102026
most citedMarkov Chain Monte Carlo Estimation of Quantiles

41 citations · 58 across the 8 of their papers we have counts for

collaborators

12 papers

stat.ME2026

Estimation of heterogeneous principal effects under principal ignorability

Rui Zhang, Charles R. Doss, Jared D. Huling

We study estimation and inference for heterogeneous principal causal effects with binary treatments and binary intermediate variables. Principal causal effects are subgroup effects…

stat.ME2022

A nonparametric doubly robust test for a continuous treatment effect

Charles R. Doss, Guangwei Weng, Lan Wang +2

The vast majority of literature on evaluating the significance of a treatment effect based on observational data has been confined to discrete treatments. These methods are not app…

stat.ME2020

Unlinked monotone regression

Fadoua Balabdaoui, Charles R. Doss, Cécile Durot

We consider so-called univariate unlinked (sometimes ``decoupled,'' or ``shuffled'') regression when the unknown regression curve is monotone. In standard monotone regression, one…

stat.ME2018★ 4 cited

An explicit mean-covariance parameterization for multivariate response linear regression

Aaron J. Molstad, Guangwei Weng, Charles R. Doss +1

We develop a new method to fit the multivariate response linear regression model that exploits a parametric link between the regression coefficient matrix and the error covariance…

stat.ME2018★ 2 cited

Bandwidth selection for kernel density estimators of multivariate level sets and highest density regions

Charles R. Doss, Guangwei Weng

We consider bandwidth matrix selection for kernel density estimators (KDEs) of density level sets in , . We also consider estimation of highest density regio…

math.ST2018

Concave regression: value-constrained estimation and likelihood ratio-based inference

Charles R. Doss

We propose a likelihood ratio statistic for forming hypothesis tests and confidence intervals for a nonparametrically estimated univariate regression function, based on the shape r…

math.ST2016

Univariate log-concave density estimation with symmetry or modal constraints

Charles R. Doss, Jon A. Wellner

We study nonparametric maximum likelihood estimation of a log-concave density function which is known to satisfy further constraints, where either (a) the mode of i…

cs.IT2015

Bracketing numbers of convex and -monotone functions on polytopes

Charles R. Doss

We study bracketing covering numbers for spaces of bounded convex functions in the norms. Bracketing numbers are crucial quantities for understanding asymptotic behavior for…

math.ST2014

Inference for a Two-Component Mixture of Symmetric Distributions under Log-Concavity

Fadoua Balabdaoui, Charles R. Doss

In this article, we revisit the problem of estimating the unknown zero-symmetric distribution in a two-component location mixture model, considered in previous works, now under the…

math.ST2013

Global Rates of Convergence of the MLEs of Log-concave and s-concave Densities

Charles R. Doss, Jon A. Wellner

We establish global rates of convergence for the Maximum Likelihood Estimators (MLEs) of log-concave and -concave densities on . The main finding is that the rate of…

math.ST2012★ 41 cited

Markov Chain Monte Carlo Estimation of Quantiles

Charles Doss, James M. Flegal, Galin L. Jones +1

We consider quantile estimation using Markov chain Monte Carlo and establish conditions under which the sampling distribution of the Monte Carlo error is approximately Normal. Furt…

stat.CO2010★ 11 cited

Fitting birth-death processes to panel data with applications to bacterial DNA fingerprinting

Charles R. Doss, Marc A. Suchard, Ian Holmes +2

Continuous-time linear birth-death-immigration (BDI) processes are frequently used in ecology and epidemiology to model stochastic dynamics of the population of interest. In clinic…