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Karl Oskar Ekvall
Karl Oskar Ekvall
Verifierad e-postadress på ufl.edu - Startsida
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Convergence analysis of a collapsed Gibbs sampler for Bayesian vector autoregressions
KO Ekvall, GL Jones
162021
Consistent maximum likelihood estimation using subsets with applications to multivariate mixed models
KO Ekvall, GL Jones
72020
Mixed‐type multivariate response regression with covariance estimation
KO Ekvall, AJ Molstad
Statistics in Medicine 41 (15), 2768-2785, 2022
42022
Concave likelihood‐based regression with finite‐support response variables
KO Ekvall, M Bottai
Biometrics 79 (3), 2286-2297, 2023
22023
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
22022
Targeted principal components regression
KO Ekvall
Journal of Multivariate Analysis 190, 104995, 2022
12022
Supplement to “Consistent maximum likelihood estimation using subsets with applications to multivariate mixed models.”
KO Ekvall, GL Jones
12020
Markov Chain Monte Carlo
KO Ekvall, GL Jones
Wiley StatsRef: Statistics Reference Online, 1-9, 2019
1*2019
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
Direct covariance matrix estimation with compositional data
AJ Molstad, KO Ekvall, PM Suder
arXiv preprint arXiv:2212.09833, 2022
2022
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
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Artiklar 1–15