The following pages link to (Q5251797):
Displaying 50 items.
- Adaptively weighted group Lasso for semiparametric quantile regression models (Q2325373) (← links)
- The parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems (Q2328494) (← links)
- Selection of sparse vine copulas in high dimensions with the Lasso (Q2329765) (← links)
- Shrinkage priors for Bayesian penalized regression (Q2332812) (← links)
- A two-step fixed-point proximity algorithm for a class of non-differentiable optimization models in machine learning (Q2333729) (← links)
- Variable selection and structure identification for varying coefficient Cox models (Q2404416) (← links)
- Variable selection in functional additive regression models (Q2418050) (← links)
- A descent method for least absolute deviation Lasso problems (Q2421445) (← links)
- Correcting for unknown errors in sparse high-dimensional function approximation (Q2424851) (← links)
- Structural properties of affine sparsity constraints (Q2425165) (← links)
- Sparse regression with multi-type regularized feature modeling (Q2657005) (← links)
- What is an optimal value of \(k\) in \(k\)-fold cross-validation in discrete Bayesian network analysis? (Q2667012) (← links)
- Variable selection for Naïve Bayes classification (Q2669548) (← links)
- On sparse optimal regression trees (Q2670540) (← links)
- Estimating the class prior for positive and unlabelled data via logistic regression (Q2673353) (← links)
- Generic error bounds for the generalized Lasso with sub-exponential data (Q2675193) (← links)
- An integrated precision matrix estimation for multivariate regression problems (Q2676914) (← links)
- Network-based discriminant analysis for multiclassification (Q2680180) (← links)
- Group-wise shrinkage estimation in penalized model-based clustering (Q2680189) (← links)
- Sparse PCA on fixed-rank matrices (Q2687042) (← links)
- Reconstruction of delay differential equations via learning parameterized dictionary (Q2688070) (← links)
- Linear-step solvability of some folded concave and singly-parametric sparse optimization problems (Q2693645) (← links)
- Sparse estimation technique for digital pre-distortion of impedance-mismatched power amplifiers (Q2699680) (← links)
- On the sparsity of Lasso minimizers in sparse data recovery (Q2700886) (← links)
- Principal component analysis: a review and recent developments (Q2955846) (← links)
- Statistical learning and selective inference (Q2962284) (← links)
- Newton Sketch: A Near Linear-Time Optimization Algorithm with Linear-Quadratic Convergence (Q2967608) (← links)
- From High-dimensional to Functional Data: Stringing Via Manifold Learning (Q3300636) (← links)
- Cross validation in LASSO and its acceleration (Q3302665) (← links)
- Adaptive Huber Regression (Q3304852) (← links)
- Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models (Q3305484) (← links)
- BIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With Applications (Q3391445) (← links)
- Optimal Quadrature-Sparsification for Integral Operator Approximation (Q4553791) (← links)
- Low-Rank Inducing Norms with Optimality Interpretations (Q4554068) (← links)
- Regularization and discretization error estimates for optimal control of ODEs with group sparsity (Q4554115) (← links)
- (Q4558148) (← links)
- (Q4558543) (← links)
- Composite Difference-Max Programs for Modern Statistical Estimation Problems (Q4562249) (← links)
- Multicompartment magnetic resonance fingerprinting (Q4582674) (← links)
- (Q4633013) (← links)
- (Q4633018) (← links)
- Decomposition Methods for Computing Directional Stationary Solutions of a Class of Nonsmooth Nonconvex Optimization Problems (Q4641680) (← links)
- Robust Time-Varying Undirected Graphs (Q4689046) (← links)
- A study on tuning parameter selection for the high-dimensional lasso (Q4960728) (← links)
- (Q4969054) (← links)
- Integer constraints for enhancing interpretability in linear regression (Q4969267) (← links)
- (Q4998944) (← links)
- A partial graphical model with a structural prior on the direct links between predictors and responses (Q5000397) (← links)
- Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework (Q5004352) (← links)
- Modeling event cascades using networks of additive count sequences (Q5006902) (← links)
