Intrinsic Functional Partially Linear Poisson Regression Model for Count Data

Intrinsic Functional Partially Linear Poisson Regression Model for Count Data

Poisson regression is a statistical method specifically designed for analyzing count data. Considering the case where the functional and vector-valued covariates exhibit a linear relationship with the log-transformed Poisson mean, while the covariates in complex domains act as nonlinear random effec...

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Bibliographic Details
Main Authors: Jiaqi Xu, Yu Lu, Yuanshen Su, Tao Liu, Yunfei Qi, Wu Xie
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Axioms
Subjects:
Poisson regression
Karhunen–Loève expansion
random effects
heat kernel
quasi-Newton algorithm
Online Access:https://www.mdpi.com/2075-1680/13/11/795
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