Estimation of spatial-functional based-line logit model for multivariate longitudinal data
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Publication:6104402
DOI10.1007/s00180-022-01217-4OpenAlexW4220779594WikidataQ114692930 ScholiaQ114692930MaRDI QIDQ6104402
Xiuzhen Zhang, Tengteng Xu, Ri-quan Zhang
Publication date: 15 June 2023
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-022-01217-4
gradient descentspatial covariance functionfunctional PCAleave-one-out cross validationmultivariate longitudinal data
Cites Work
- Functional linear regression analysis for longitudinal data
- Using principal components for estimating logistic regression with high-dimensional multicollinear data
- Functional PCA and base-line logit models
- Recent developments in complex and spatially correlated functional data
- Curves discrimination: a nonparametric functional approach
- A survey of functional principal component analysis
- Modeling spatially dependent functional data via regression with differential regularization
- Continuous time-varying Kriging for spatial prediction of functional data: an environmental application
- Description length and dimensionality reduction in functional data analysis
- Functional data analysis.
- Functional Linear Discriminant Analysis for Irregularly Sampled Curves
- Componentwise classification and clustering of functional data
- Joint modelling of paired sparse functional data using principal components
- Generalized Linear Models with Functional Predictors
- Selecting the Number of Principal Components in Functional Data
- Advanced Lectures on Machine Learning
- Functional Data Analysis for Sparse Longitudinal Data
- Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models
- Some results of classification problem by Bayesian method and application in credit operation
- Optimal model averaging estimator for multinomial logit models
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