Peer-reviewedLicence not statedStatistical Science
Restricted Maximum Likelihood Estimation in Generalized Linear Mixed Models
- 1Luca Maestrini is a Lecturer, Research School of Finance, Actuarial Studies and Statistics, The Australian National University, Canberra, Australia
- 2Francis K.C. Hui is an Associate Professor, Research School of Finance, Actuarial Studies and Statistics, The Australian National University, Canberra, Australia
- 3Alan H. Welsh is an E.J. Hannan Professor of Statistics, Research School of Finance, Actuarial Studies and Statistics, The Australian National University, Canberra, Australia
Related
- Asymptotic Theory for Restricted Maximum Likelihood Estimators in Generalized Linear Mixed Models
- A hybrid GPU/CPU implementation of the average information restricted maximum likelihood algorithm for fitting multivariate linear mixed models
- Verifying the existence of maximum likelihood estimates for generalized linear models
- Improving the selection-function-based sensitivity analysis for publication bias with restricted maximum likelihood
- Maximum Likelihood Estimation and Likelihood Ratio Tests for the Power Spherical Distribution
BibTeX
@article{maestrini2026restricted,
title = {{Restricted Maximum Likelihood Estimation in Generalized Linear Mixed Models}},
author = {Luca Maestrini and Francis K. C. Hui and A. H. Welsh},
journal = {Statistical Science},
year = {2026},
month = jul,
doi = {10.1214/25-sts995},
url = {http://arxiv.org/abs/2402.12719},
}
RIS
TY - JOUR
TI - Restricted Maximum Likelihood Estimation in Generalized Linear Mixed Models
AU - Luca Maestrini
AU - Francis K. C. Hui
AU - A. H. Welsh
PY - 2026
DA - 2026/07/31
JO - Statistical Science
DO - 10.1214/25-sts995
UR - http://arxiv.org/abs/2402.12719
SN - 0883-4237
SN - 2168-8745
ER -