The following pages link to (Q4864293):
Displaying 50 items.
- Sparsity driven people localization with a heterogeneous network of cameras (Q1932873) (← links)
- Model selection via standard error adjusted adaptive Lasso (Q1934485) (← links)
- Partial linear single index models with distortion measurement errors (Q1934488) (← links)
- LAD variable selection for linear models with randomly censored data (Q1936296) (← links)
- Variable selection via RIVAL (removing irrelevant variables amidst lasso iterations) and its application to nuclear material detection (Q1937489) (← links)
- Variable selection and parameter estimation for partially linear models via Dantzig selector (Q1938499) (← links)
- Compressed sensing and matrix completion with constant proportion of corruptions (Q1939501) (← links)
- Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data (Q1940758) (← links)
- Variable selection in linear mixed effects models (Q1940766) (← links)
- Variable selection for functional regression models via the \(L_1\) regularization (Q1942907) (← links)
- Wavelet penalized likelihood estimation in generalized functional models (Q1945061) (← links)
- Multi-parametric solution-path algorithm for instance-weighted support vector machines (Q1945116) (← links)
- Sequential approaches for learning datum-wise sparse representations (Q1945129) (← links)
- Sobolev duals for random frames and \(\varSigma \varDelta \) quantization of compressed sensing measurements (Q1946588) (← links)
- A cyclic projected gradient method (Q1946620) (← links)
- Regularizers for structured sparsity (Q1949299) (← links)
- Primal and dual model representations in kernel-based learning (Q1950324) (← links)
- Regularized \(k\)-means clustering of high-dimensional data and its asymptotic consistency (Q1950809) (← links)
- Statistical multiresolution Dantzig estimation in imaging: fundamental concepts and algorithmic framework (Q1950814) (← links)
- Theoretical properties of the overlapping groups Lasso (Q1950815) (← links)
- Further asymptotic properties of the generalized information criterion (Q1950832) (← links)
- Fixed and random effects selection in nonparametric additive mixed models (Q1950841) (← links)
- Detection of sparse additive functions (Q1950867) (← links)
- Generalized Hoeffding-Sobol decomposition for dependent variables -- application to sensitivity analysis (Q1950910) (← links)
- PAC-Bayesian estimation and prediction in sparse additive models (Q1951111) (← links)
- Hierarchical Bayes, maximum a posteriori estimators, and minimax concave penalized likelihood estimation (Q1951144) (← links)
- Some optimality properties of FDR controlling rules under sparsity (Q1951159) (← links)
- The Lasso problem and uniqueness (Q1951165) (← links)
- Sparse least trimmed squares regression for analyzing high-dimensional large data sets (Q1951528) (← links)
- Sparse integrative clustering of multiple omics data sets (Q1951531) (← links)
- Robust VIF regression with application to variable selection in large data sets (Q1951534) (← links)
- Bootstrap inference for network construction with an application to a breast cancer microarray study (Q1951540) (← links)
- Joint and individual variation explained (JIVE) for integrated analysis of multiple data types (Q1951546) (← links)
- The theory and application of penalized methods or reproducing kernel Hilbert spaces made easy (Q1951653) (← links)
- A survey of Bayesian predictive methods for model assessment, selection and comparison (Q1951655) (← links)
- Comparing two samples by penalized logistic regression (Q1951763) (← links)
- On the asymptotic properties of the group lasso estimator for linear models (Q1951765) (← links)
- Classification with minimax fast rates for classes of Bayes rules with sparse representation (Q1951772) (← links)
- Lasso, iterative feature selection and the correlation selector: oracle inequalities and numerical performances (Q1951793) (← links)
- Inferring sparse Gaussian graphical models with latent structure (Q1951974) (← links)
- Thresholding-based iterative selection procedures for model selection and shrinkage (Q1951984) (← links)
- On Lasso for censored data (Q1951988) (← links)
- Penalized orthogonal-components regression for large \(p\) small \(n\) data (Q1952001) (← links)
- Semiparametric regression during 2003--2007 (Q1952023) (← links)
- Forest Garrote (Q1952025) (← links)
- Penalized model-based clustering with unconstrained covariance matrices (Q1952033) (← links)
- Confidence sets based on penalized maximum likelihood estimators in Gaussian regression (Q1952055) (← links)
- Self-concordant analysis for logistic regression (Q1952060) (← links)
- MAP model selection in Gaussian regression (Q1952087) (← links)
- Sparse regression with exact clustering (Q1952092) (← links)
