EconPapers    
Economics at your fingertips  
 

Inference for generalized additive mixed models via penalized marginal likelihood

Alex Stringer

Statistics & Probability Letters, 2025, vol. 224, issue C

Abstract: The Laplace approximation is sometimes not sufficiently accurate for smoothing parameter estimation in generalized additive mixed models. A novel estimation strategy is proposed that solves this problem and leads to estimates exhibiting the correct statistical properties.

Keywords: Adaptive quadrature; Additive mixed model; Laplace approximation; Mixed model; Penalized spline; Random effect (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715225000884
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:224:y:2025:i:c:s0167715225000884

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2025.110443

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-06-17
Handle: RePEc:eee:stapro:v:224:y:2025:i:c:s0167715225000884