Penalized Composite Likelihood Estimation for Spatial Generalized Linear Mixed Models
When discussing non-Gaussian spatially correlated variables, generalized linear mixed models have enough flexibility for modeling various data types. However, the maximum likelihood methods are plagued with substantial calculations for large data sets, resulting in long waiting times for estimating...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Tehran
2024-04-01
|
| Series: | Journal of Sciences, Islamic Republic of Iran |
| Subjects: | |
| Online Access: | https://jsciences.ut.ac.ir/article_100596_51e7e0e4f8c95a34e987f22d5ac65145.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|