Pages that link to "Item:Q1654235"
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The following pages link to Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study (Q1654235):
Displaying 10 items.
- Analysis of multivariate non-Gaussian functional data: a semiparametric latent process approach (Q2078559) (← links)
- Bayesian latent factor regression for multivariate functional data with variable selection (Q2131944) (← links)
- Functional multiple-outcome model in application to multivariate growth curves of infant data (Q2235633) (← links)
- A functional generalized linear model with curve selection in cervical pre-cancer diagnosis using fluorescence spectroscopy (Q2845924) (← links)
- Bayesian Analysis of Spatially-Dependent Functional Responses with Spatially-Dependent Multi-Dimensional Functional Predictors (Q3195200) (← links)
- Multivariate Functional Regression Via Nested Reduced-Rank Regularization (Q5083370) (← links)
- Ultra-Fast Approximate Inference Using Variational Functional Mixed Models (Q6047646) (← links)
- Fast covariance estimation for multivariate sparse functional data (Q6541536) (← links)
- Mean and covariance estimation for discretely observed high-dimensional functional data: rates of convergence and division of observational regimes (Q6615373) (← links)
- Multivariate functional additive mixed models (Q6669930) (← links)
