Pages that link to "Item:Q2844165"

The following pages link to Nonlinear regression modeling via regularized Gaussian basis functions (Q2844165):

Displaying 14 items.

• Functional cluster analysis via orthonormalized Gaussian basis expansions and its application (Q263285) (← links)
• Variable selection in multivariate linear models for functional data via sparse regularization (Q830251) (← links)
• Nonlinear regression modeling via regularized wavelets and smoothing parameter selection (Q855915) (← links)
• Functional regression modeling via regularized Gaussian basis expansions (Q904049) (← links)
• Nonlinear regression modeling via regularized radial basis function networks (Q947263) (← links)
• Variable and boundary selection for functional data via multiclass logistic regression modeling (Q1623638) (← links)
• Bayesian nonparametric quantile mixed-effects models via regularization using Gaussian process priors (Q2166038) (← links)
• Adaptive basis expansion via \(\ell _1\) trend filtering (Q2259769) (← links)
• Nonlinear regression modeling via the lasso-type regularization (Q2266883) (← links)
• Nonlinear regression modeling and detecting change points via the relevance vector machine (Q2513366) (← links)
• Nonlinear Logistic Discrimination Via Regularized Gaussian Basis Expansions (Q3391879) (← links)
• Regularised orthogonal machine learning for nonlinear semiparametric models (Q5083307) (← links)
• Sparse group lasso for multiclass functional logistic regression models (Q5085971) (← links)
• Constructing differential equations using only a scalar time-series about continuous time chaotic dynamics (Q6569952) (← links)