Pages that link to "Item:Q5367439"
From MaRDI portal
The following pages link to Localized Functional Principal Component Analysis (Q5367439):
Displaying 24 items.
- Sparse functional principal component analysis in a new regression framework (Q830527) (← links)
- Local functional principal component analysis (Q941063) (← links)
- Multi-aspect local inference for functional data: analysis of ultrasound tongue profiles (Q1733279) (← links)
- Mixture inner product spaces and their application to functional data analysis (Q1747743) (← links)
- Gaussian-based visualization of Gaussian and non-Gaussian-based clustering (Q2040030) (← links)
- Sparse logistic functional principal component analysis for binary data (Q2108927) (← links)
- Estimation of functional regression model via functional dimension reduction (Q2184022) (← links)
- A new approach to varying-coefficient additive models with longitudinal covariates (Q2305307) (← links)
- Functional sufficient dimension reduction for functional data classification (Q2317173) (← links)
- Dimension reduction in functional regression with categorical predictor (Q2358936) (← links)
- Weight fused functional sliced average variance estimation (Q5042101) (← links)
- Partial functional linear regression with autoregressive errors (Q5092689) (← links)
- Functional principal component analysis estimator for non-Gaussian data (Q5096688) (← links)
- [HDDA] sparse subspace constrained partial least squares (Q5107373) (← links)
- Modeling sparse longitudinal data on Riemannian manifolds (Q6055489) (← links)
- Functional dimension reduction based on fuzzy partition and transformation (Q6075142) (← links)
- Parametric Functional Principal Component Analysis (Q6079975) (← links)
- Modeling Time-Varying Random Objects and Dynamic Networks (Q6110737) (← links)
- Functional Nonlinear Learning (Q6552535) (← links)
- Latent factor model for multivariate functional data (Q6589275) (← links)
- Nonlinear prediction of functional time series (Q6626601) (← links)
- Dynamic prediction with time-dependent marker in survival analysis using supervised functional principal component analysis (Q6628660) (← links)
- Sparse and integrative principal component analysis for multiview data (Q6635573) (← links)
- Functional autoencoder for smoothing and representation learning (Q6657808) (← links)
