The following pages link to (Q4864293):
Displaying 50 items.
- Bayesian analysis of penalized quantile regression for longitudinal data (Q1685287) (← links)
- Uncertainty propagation of p-boxes using sparse polynomial chaos expansions (Q1685655) (← links)
- The matrix splitting based proximal fixed-point algorithms for quadratically constrained \(\ell_{1}\) minimization and Dantzig selector (Q1686207) (← links)
- Quantile regression for additive coefficient models in high dimensions (Q1686242) (← links)
- Approximate ADMM algorithms derived from Lagrangian splitting (Q1687316) (← links)
- Peaceman-Rachford splitting for a class of nonconvex optimization problems (Q1687318) (← links)
- A generalized elastic net regularization with smoothed \(\ell _{q}\) penalty for sparse vector recovery (Q1687319) (← links)
- Sparse causality network retrieval from short time series (Q1687426) (← links)
- Estimator selection: a new method with applications to kernel density estimation (Q1688428) (← links)
- Optimal subgradient algorithms for large-scale convex optimization in simple domains (Q1689457) (← links)
- Sparse and low-rank matrix regularization for learning time-varying Markov networks (Q1689602) (← links)
- Parseval wavelets on hierarchical graphs (Q1690706) (← links)
- Nested polynomial trends for the improvement of Gaussian process-based predictors (Q1691892) (← links)
- Genetic algorithm versus classical methods in sparse index tracking (Q1693854) (← links)
- Quantile regression metamodeling: toward improved responsiveness in the high-tech electronics manufacturing industry (Q1694337) (← links)
- An effective method to reduce the computational complexity of composite quantile regression (Q1695421) (← links)
- A penalized likelihood method for structural equation modeling (Q1695631) (← links)
- Generalized network psychometrics: combining network and latent variable models (Q1695733) (← links)
- Variable selection and estimation using a continuous approximation to the \(L_0\) penalty (Q1695760) (← links)
- Semiparametric Bayesian inference for accelerated failure time models with errors-in-covariates and doubly censored data (Q1697681) (← links)
- A modified proximal gradient method for a family of nonsmooth convex optimization problems (Q1697903) (← links)
- A study on off-grid issue in DOA and frequency estimations (Q1698433) (← links)
- A constrained \(\ell1\) minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models (Q1698844) (← links)
- Sparse probit linear mixed model (Q1698863) (← links)
- Robust regression using biased objectives (Q1698865) (← links)
- Variable selection and prediction in biased samples with censored outcomes (Q1698943) (← links)
- Hidden physics models: machine learning of nonlinear partial differential equations (Q1699464) (← links)
- A Rice method proof of the null-space property over the Grassmannian (Q1700392) (← links)
- Model-free conditional independence feature screening for ultrahigh dimensional data (Q1702189) (← links)
- Estimating a sparse reduction for general regression in high dimensions (Q1702278) (← links)
- Bayesian model selection for complex geological structures using polynomial chaos proxy (Q1702394) (← links)
- A coordinate descent algorithm for computing penalized smooth quantile regression (Q1703802) (← links)
- Model-free feature screening for ultrahigh dimensional censored regression (Q1703810) (← links)
- LARS-type algorithm for group Lasso (Q1703818) (← links)
- Bayesian regularisation in geoadditive expectile regression (Q1703837) (← links)
- Extended differential geometric LARS for high-dimensional GLMs with general dispersion parameter (Q1704015) (← links)
- Inferring large graphs using \(\ell_1\)-penalized likelihood (Q1704026) (← links)
- Hierarchical sparse modeling: a choice of two group Lasso formulations (Q1704702) (← links)
- Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions (Q1704742) (← links)
- Fast state-space methods for inferring dendritic synaptic connectivity (Q1704795) (← links)
- Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity (Q1704910) (← links)
- A group adaptive elastic-net approach for variable selection in high-dimensional linear regression (Q1705570) (← links)
- Extragradient method in optimization: convergence and complexity (Q1706412) (← links)
- LPiTrack: eye movement pattern recognition algorithm and application to biometric identification (Q1707478) (← links)
- Trace class Markov chains for the normal-gamma Bayesian shrinkage model (Q1711607) (← links)
- The Bayesian adaptive Lasso regression (Q1711960) (← links)
- Iterative identification for multivariable systems with time-delays based on basis pursuit de-noising and auxiliary model (Q1712029) (← links)
- Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework (Q1712546) (← links)
- Fused Lasso penalized least absolute deviation estimator for high dimensional linear regression (Q1713210) (← links)
- An analysis of the SPARSEVA estimate for the finite sample data case (Q1716452) (← links)
