Building a Theoretical Foundation for the Spline‐Mixed Model Connection
ABSTRACT In fitting a non‐parametric regression model, the spline‐mixed model connection is well known, which associates fitting of a penalised spline model with that of a linear mixed model. We establish a theoretical framework for justifying the spline‐mixed model connection, and study the asymptotic behaviour of the empirical best linear unbiased predictor of the regression mean and associated model parameters.
Authors
- Jiming Jiang (ORCID: https://orcid.org/0000-0001-6364-4717)
Institutions
- University of California, Davis (US)
Publication Details
- Journal
- Australian & New Zealand Journal of Statistics
- Published
- 2026-04-15
- DOI
- https://doi.org/10.1111/anzs.70050
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation