Pages that link to "Item:Q5963007"
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The following pages link to A Bayesian latent variable approach to functional principal components analysis with binary and count data (Q5963007):
Displaying 16 items.
- Generalized functional additive mixed models (Q302430) (← links)
- Variational Bayesian functional PCA (Q961145) (← links)
- Bayesian estimation of principal components for functional data (Q1699656) (← links)
- Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data (Q2080741) (← links)
- Sparse logistic functional principal component analysis for binary data (Q2108927) (← links)
- Ordinal probit functional outcome regression with application to computer-use behavior in rhesus monkeys (Q2135378) (← links)
- A note on density estimation for binary sequences (Q2439648) (← links)
- Generalized multilevel function‐on‐scalar regression and principal component analysis (Q3459930) (← links)
- Longitudinal functional principal component modelling via Stochastic Approximation Monte Carlo (Q4932236) (← links)
- Boosting functional response models for location, scale and shape with an application to bacterial competition (Q5070481) (← links)
- Functional principal component analysis estimator for non-Gaussian data (Q5096688) (← links)
- A general framework for functional regression modelling (Q5142163) (← links)
- Nonnegative decomposition of functional count data (Q6047770) (← links)
- Functional principal component models for sparse and irregularly spaced data by Bayesian inference (Q6579809) (← links)
- Functional multivariable logistic regression with an application to HIV viral suppression prediction (Q6625485) (← links)
- Flexible Bayesian modeling for longitudinal binary and ordinal responses (Q6657813) (← links)
