Efficient estimation of generalized linear latent variable models.
Generalized linear latent variable models (GLLVM) are popular tools for modeling multivariate, correlated responses. Such data are often encountered, for instance, in ecological studies, where presence-absences, counts, or biomass of interacting species are collected from a set of sites. Until very...
Main Authors: | Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K C Hui, Sara Taskinen, David I Warton |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0216129 |
Similar Items
-
Latent variable generalized linear models
by: Creagh-Osborne, Jane
Published: (1998) -
Conditional mean variables: A method for estimating latent linear relationships with discretized observations
by: Berggren, Mathias
Published: (2020) -
Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries
by: Mittel, Louis Buchalter
Published: (2017) - Random-Effect Differential Item Functioning via Hierarchical Generalized Linear Model and Generalized Linear Latent Mixed Model: A Comparison of Estimation Methods
-
Improving the Efficiency of Robust Estimators for the Generalized Linear Model
by: Alfio Marazzi
Published: (2021-02-01)