| Global rates of convergence of the MLEs of log-concave and s-concave densities CR Doss, JA Wellner Annals of statistics 44 (3), 954, 2016 | 88 | 2016 |
| Markov chain Monte Carlo estimation of quantiles CR Doss, JM Flegal, GL Jones, RC Neath | 51 | 2014 |
| Inference for a two-component mixture of symmetric distributions under log-concavity F Balabdaoui, CR Doss | 35* | 2018 |
| Inference for the mode of a log-concave density CR Doss, JA Wellner | 22 | 2019 |
| Inference for a two-component mixture of symmetric distributions under log-concavity F Balabdaoui, CR Doss | 22 | 2018 |
| Fitting birth-death processes to panel data with applications to bacterial DNA fingerprinting CR Doss, MA Suchard, I Holmes, M Kato-Maeda, VN Minin The Annals of Applied Statistics 7 (4), 2315, 2013 | 19 | 2013 |
| Bandwidth selection for kernel density estimators of multivariate level sets and highest density regions CR Doss, G Weng | 15 | 2018 |
| Unlinked monotone regression F Balabdaoui, CR Doss, C Durot Journal of Machine Learning Research 22 (172), 1-60, 2021 | 13 | 2021 |
| Univariate log-concave density estimation with symmetry or modal constraints CR Doss, JA Wellner | 11 | 2019 |
| Mode-constrained estimation of a log-concave density CR Doss, JA Wellner arXiv preprint arXiv:1611.10335, 2016 | 10 | 2016 |
| Observations on Abundance of Bluntnose Sixgill Sharks, Hexanchus griseus, in an Urban Waterway in Puget Sound, 2003-2005 D Griffing, S Larson, J Hollander, T Carpenter, J Christiansen, C Doss Plos One 9 (1), e87081, 2014 | 9 | 2014 |
| Univariate log-concave density estimation with symmetry or modal constraints CR Doss, JA Wellner | 8 | 2019 |
| Concave regression: value-constrained estimation and likelihood ratio-based inference CR Doss Mathematical Programming 174 (1), 5-39, 2019 | 5 | 2019 |
| An explicit mean-covariance parameterization for multivariate response linear regression AJ Molstad, G Weng, CR Doss, AJ Rothman Journal of Computational and Graphical Statistics 30 (3), 612-621, 2021 | 4 | 2021 |
| Shape-constrained inference for concave-transformed densities and their modes CR Doss | 4 | 2013 |
| Bracketing Numbers of Convex Functions on Polytopes CR Doss Preprint. Available at, 2015 | 2 | 2015 |
| Nonparametric Subset Scanning for Detection of Heteroscedasticity CR Doss, E McFowland III Journal of Computational and Graphical Statistics 31 (3), 813-823, 2022 | 1 | 2022 |
| A nonparametric doubly robust test for a continuous treatment effect G Weng, CR Doss, L Wang, I Moscovice, T Chantarat arXiv preprint arXiv:2202.03369, 2022 | 1 | 2022 |
| Bracketing numbers of convex and m-monotone functions on polytopes CR Doss Journal of Approximation Theory 256, 105425, 2020 | 1 | 2020 |
| Supplementary material for “Inference for the mode of a log-concave density” CR Doss, JA Wellner Ann. Statist. submitted, 2018 | 1 | 2018 |
Jon A. WellnerProfessor Emeritus of Statistics, University of WashingtonVerified email at stat.washington.edu
