My research focuses on reliable inference in nonstandard settings with, for example, complex dependence, parameters near the boundary, or singular Fisher information. I develop theory, methods, and computationally efficient software implementing the proposed methods. I regularly collaborate with researchers in biomedicine, psychology, and economics.
Articles
Theory and methods
Asymptotics for likelihood ratio tests of boundary points with singular information and unidentifiable nuisance parameters. K.O. Ekvall, O.G.H. Hössjer, M. Bottai, and J.M.P. Albin.
Submitted · arXiv
Likelihood-based inference with separable correlation matrices. K.O. Ekvall.
Submitted · arXiv | Code | R package
Universal inference for variance components.
Y. Zhang, K.O. Ekvall, and A.J. Molstad.
Stat, 2026 · arXiv | Code
Uniform inference in linear mixed models.
K.O. Ekvall and M. Bottai.
Biometrika, 2026 · arXiv | Supplement | Code
Fast and reliable confidence intervals for a variance component.
Y. Zhang, K.O. Ekvall, and A.J. Molstad.
Biometrika, 2025 · arXiv | Supplement | Code | R package
Direct covariance matrix estimation with compositional data. A.J. Molstad, K.O. Ekvall, and Piotr M. Suder.
Electronic Journal of Statistics, 2024 · arXiv | Supplement
Concave likelihood-based regression with finite-support response variables. K.O. Ekvall and M. Bottai.
Biometrics, 2023 · arXiv | Supplement | Code
Confidence regions near singular information and boundary points with applications to mixed models. K.O. Ekvall and M. Bottai.
Annals of Statistics, 2022 · arXiv | Supplement | Code
Targeted principal components regression. K.O. Ekvall.
Journal of Multivariate Analysis, 2022 · arXiv | Code | R package
Mixed-type multivariate response regression with covariance estimation. K.O. Ekvall and A.J. Molstad.
Statistics in Medicine, 2022 · arXiv | Supplement | R package
Convergence analysis of a collapsed Gibbs sampler for Bayesian vector autoregressions. K.O. Ekvall and G.L. Jones.
Electronic Journal of Statistics, 2021 · arXiv | Code
Consistent maximum likelihood estimation using subsets with applications to multivariate mixed models. K.O. Ekvall and G.L. Jones.
Annals of Statistics, 2020 · arXiv | Supplement
Markov chain Monte Carlo. K.O. Ekvall and G.L. Jones.
Wiley StatsRef, 2019 · PDF
Applications
Validation and comparison of two prearrest prediction scores for in-hospital cardiac arrest survival.
H. Karim, E. Piscator, K.O. Ekvall, G. Riva, K.G. Lauridsen, and T. Djärv.
Submitted
Brief stimulus changes signaling extinction enhance resurgence.
C.N. Martinez-Perez, J. Williams, C.M. Ritchey, T. Kuroda, K.O. Ekvall, and C.A. Podlesnik.
Submitted
Mediation by thyroid hormone in the relationships between gestational exposure
to methylmercury and birth size. K. Gustin, K.O. Ekvall, M. Barman, B. Jacobsson,
A. Sandin, A.S. Sandberg, A.E. Wold, M. Vahter, and M. Kippler.
Exposure and Health, 2023