Bayesian Regression Analysis for Dependent Data with an Elliptical Shape

Bayesian Regression Analysis for Dependent Data with an Elliptical Shape

This paper proposes a parametric hierarchical model for functional data with an elliptical shape, using a Gaussian process prior to capturing the data dependencies that reflect systematic errors while modeling the underlying curved shape through a von Mises–Fisher distribution. The model definition,...

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Bibliographic Details
Main Authors: Yian Yu, Long Tang, Kang Ren, Zhonglue Chen, Shengdi Chen, Jianqing Shi
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Entropy
Subjects:
ellipse
functional regression model
Gaussian process
nonlinear effects
shape constraints
von Mises–Fisher distribution
Online Access:https://www.mdpi.com/1099-4300/26/12/1072
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