The following pages link to Variational Bayesian functional PCA (Q961145):
Displaying 18 items.
- Dimensionality reduction when data are density functions (Q452596) (← links)
- Adaptive basis selection for functional data analysis via stochastic penalization (Q539749) (← links)
- Principal components for multivariate functional data (Q1658312) (← links)
- Bayesian estimation of principal components for functional data (Q1699656) (← links)
- Variational inference for probabilistic Poisson PCA (Q1728678) (← links)
- Functional regression via variational Bayes (Q1952199) (← links)
- Penalized spline approaches for functional logit regression (Q2392915) (← links)
- Penalized PCA approaches for B-spline expansions of smooth functional data (Q2451379) (← links)
- Generalized multilevel function‐on‐scalar regression and principal component analysis (Q3459930) (← links)
- Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian–Wishart processes (Q4556687) (← links)
- Modeling Motor Learning Using Heteroscedastic Functional Principal Components Analysis (Q4559684) (← links)
- Variational Bayesian Learning of ICA with Missing Data (Q4814206) (← links)
- Functional Horseshoe Priors for Subspace Shrinkage (Q5146030) (← links)
- Hierarchical models for assessing variability among functions (Q5479500) (← links)
- A Bayesian latent variable approach to functional principal components analysis with binary and count data (Q5963007) (← links)
- Functional principal component models for sparse and irregularly spaced data by Bayesian inference (Q6579809) (← links)
- Functional principal component based landmark analysis for the effects of longitudinal cholesterol profiles on the risk of coronary heart disease (Q6627917) (← links)
- Functional PCA With Covariate-Dependent Mean and Covariance Structure (Q6631074) (← links)
