Pages that link to "Item:Q904049"

The following pages link to Functional regression modeling via regularized Gaussian basis expansions (Q904049):

Displaying 16 items.

• Functional gradient ascent for probit regression (Q454437) (← links)
• Multiclass functional discriminant analysis and its application to gesture recognition (Q649168) (← links)
• Variable selection in multivariate linear models for functional data via sparse regularization (Q830251) (← links)
• Functional regression with repeated eigenvalues (Q900921) (← links)
• Functional principal component analysis via regularized Gaussian basis expansions and its application to unbalanced data (Q1015889) (← links)
• Functional \(k\)-means inverse regression (Q1615228) (← links)
• A survey of functional principal component analysis (Q1621666) (← links)
• Variable and boundary selection for functional data via multiclass logistic regression modeling (Q1623638) (← links)
• Variable selection for functional regression models via the \(L_1\) regularization (Q1942907) (← links)
• Nonlinear regression modeling via regularized Gaussian basis functions (Q2844165) (← links)
• Gaussian Process Regression Analysis for Functional Data (Q3002172) (← links)
• Functional Logistic Discrimination Via Regularized Basis Expansions (Q3645018) (← links)
• Sparse group lasso for multiclass functional logistic regression models (Q5085971) (← links)
• Efficient Regularization Parameter Selection Via Information Criteria (Q5299822) (← links)
• Statistical modelling of functional data (Q5467280) (← links)
• Multivariate functional subspace classification for high-dimensional longitudinal data (Q6578481) (← links)