Pages that link to "Item:Q1699656"
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The following pages link to Bayesian estimation of principal components for functional data (Q1699656):
Displaying 26 items.
- Bayesian nonparametric modeling for functional analysis of variance (Q457260) (← links)
- A geometric approach to pairwise Bayesian alignment of functional data using importance sampling (Q521311) (← links)
- Variational Bayesian functional PCA (Q961145) (← links)
- On Bayesian principal component analysis (Q1020065) (← links)
- Inference under functional proportional and common principal component models (Q1049549) (← links)
- Bayesian inference for spectral projectors of the covariance matrix (Q1657873) (← links)
- Wavelet estimation of the dimensionality of curve time series (Q2023457) (← links)
- Dynamic regression models for time-ordered functional data (Q2057327) (← links)
- Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data (Q2080741) (← links)
- Controlled accuracy Gibbs sampling of order-constrained non-iid ordered random variates (Q2101125) (← links)
- Spline estimation of functional principal components via manifold conjugate gradient algorithm (Q2103990) (← links)
- Bayesian linear regression for multivariate responses under group sparsity (Q2175004) (← links)
- Sparse Functional Principal Component Analysis via Regularized Basis Expansions and Its Application (Q3590008) (← links)
- Bayesian nonparametric functional data analysis through density estimation (Q3613159) (← links)
- Longitudinal functional principal component modelling via Stochastic Approximation Monte Carlo (Q4932236) (← links)
- Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction (Q5057247) (← links)
- Bayesian Function-on-Scalars Regression for High-Dimensional Data (Q5066010) (← links)
- Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion (Q5066447) (← links)
- (Q5323630) (← links)
- A Bayesian Model for Sparse Functional Data (Q5450454) (← links)
- A Bayesian latent variable approach to functional principal components analysis with binary and count data (Q5963007) (← links)
- Bayesian sparse seemingly unrelated regressions model with variable selection and covariance estimation via the horseshoe+ (Q6080791) (← links)
- Distribution function estimation with calibration on principal components (Q6169776) (← links)
- Functional principal component models for sparse and irregularly spaced data by Bayesian inference (Q6579809) (← links)
- Parameter clustering in Bayesian functional principal component analysis of neuroscientific data (Q6627875) (← links)
- Functional PCA With Covariate-Dependent Mean and Covariance Structure (Q6631074) (← links)
