| Convergence analysis of a collapsed Gibbs sampler for Bayesian vector autoregressions KO Ekvall, GL Jones | 16 | 2021 |
| Consistent maximum likelihood estimation using subsets with applications to multivariate mixed models KO Ekvall, GL Jones | 7 | 2020 |
| Mixed‐type multivariate response regression with covariance estimation KO Ekvall, AJ Molstad Statistics in Medicine 41 (15), 2768-2785, 2022 | 4 | 2022 |
| Concave likelihood‐based regression with finite‐support response variables KO Ekvall, M Bottai Biometrics 79 (3), 2286-2297, 2023 | 2 | 2023 |
| Confidence regions near singular information and boundary points with applications to mixed models KO Ekvall, M Bottai The Annals of Statistics 50 (3), 1806-1832, 2022 | 2 | 2022 |
| Targeted principal components regression KO Ekvall Journal of Multivariate Analysis 190, 104995, 2022 | 1 | 2022 |
| Supplement to “Consistent maximum likelihood estimation using subsets with applications to multivariate mixed models.” KO Ekvall, GL Jones | 1 | 2020 |
| Markov Chain Monte Carlo KO Ekvall, GL Jones Wiley StatsRef: Statistics Reference Online, 1-9, 2019 | 1* | 2019 |
| Direct covariance matrix estimation with compositional data AJ Molstad, KO Ekvall, PM Suder Electronic Journal of Statistics 18 (1), 1702-1748, 2024 | | 2024 |
| Mediation by thyroid hormone in the relationships between gestational exposure to methylmercury and birth size K Gustin, KO Ekvall, M Barman, B Jacobsson, A Sandin, AS Sandberg, ... Exposure and Health, 1-12, 2023 | | 2023 |
| Supplement to “Mixed-type multivariate response regression with covariance estimation” KO Ekvall, AJ Molstad | | 2022 |
| Supplement to “Confidence Regions Near Singular Information and Boundary Points With Applications to Mixed Models” KO Ekvall, M Bottai | | 2021 |
| Topics in Multivariate Statistics with Dependent Data KO Ekvall university of minnesota, 2019 | | 2019 |
| Separable correlation and maximum likelihood KO Ekvall, BR Gray arXiv preprint arXiv:1805.00318, 2018 | | 2018 |
| Supporting information for “Concave likelihood-based regression with finite-support response variables” by Ekvall and Bottai KO Ekvall | | |
Galin JonesSchool of Statistics, University of MinnesotaVerified email at umn.edu
