Estimation and diagnostic for single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors

Estimation and diagnostic for single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors

This paper introduced a novel single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors, addressing the dual challenges of autocorrelation and skewness in high-dimensional functional data. We proposed an innovative EM-CALS algorithm, which synergize...

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Bibliographic Details
Main Authors: Lijie Zhou, Liucang Wu, Bin Yang
Format: Article
Language:English
Published: AIMS Press 2025-03-01
Series:AIMS Mathematics
Subjects:
single-index partially functional linear regression
b-spline
em-cals algorithm
autoregressive errors
skew-normal distribution
adaptive least squares
local influence
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2025321
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https://www.aimspress.com/article/doi/10.3934/math.2025321

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