Pages that link to "Item:Q3631444"
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The following pages link to The Group Lasso for Logistic Regression (Q3631444):
Displaying 50 items.
- Consistent tuning parameter selection in high-dimensional group-penalized regression (Q2423857) (← links)
- High-dimensional generalized linear models and the lasso (Q2426617) (← links)
- Support union recovery in high-dimensional multivariate regression (Q2429923) (← links)
- Variable selection in Cox regression models with varying coefficients (Q2437864) (← links)
- On proximal gradient method for the convex problems regularized with the group reproducing kernel norm (Q2442634) (← links)
- Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function (Q2452370) (← links)
- Distributed and consensus optimization for non-smooth image reconstruction (Q2516369) (← links)
- Convergence and sparsity of Lasso and group Lasso in high-dimensional generalized linear models (Q2516626) (← links)
- On the robustness of the generalized fused Lasso to prior specifications (Q2631367) (← links)
- A mixed integer linear programming support vector machine for cost-effective group feature selection: branch-cut-and-price approach (Q2670542) (← links)
- Simultaneous confidence bands in a zero-inflated regression model for binary data (Q2671493) (← links)
- Adaptive bi-level variable selection for multivariate failure time model with a diverging number of covariates (Q2677126) (← links)
- Flexible tree-structured regression models for discrete event times (Q2680302) (← links)
- Sparse estimation technique for digital pre-distortion of impedance-mismatched power amplifiers (Q2699680) (← links)
- \(L_{1}\) penalized estimation in the Cox proportional hazards model (Q2786153) (← links)
- Robust group non-convex estimations for high-dimensional partially linear models (Q2811266) (← links)
- Simulation-based Inference in a Zero-inflated Bernoulli Regression Model (Q2828772) (← links)
- Class probability estimation for medical studies (Q2875752) (← links)
- Variable selection for semiparametric regression models with iterated penalisation (Q2892927) (← links)
- Penalized Gaussian process regression and classification for high-dimensional nonlinear data (Q2893384) (← links)
- Standardization and the group lasso penalty (Q2905105) (← links)
- Estimation for high-dimensional linear mixed-effects models using \(\ell_1\)-penalization (Q2911662) (← links)
- New robust variable selection methods for linear regression models (Q2922164) (← links)
- A smoothing stochastic gradient method for composite optimization (Q2926083) (← links)
- A Note on Application of Nesterov’s Method in Solving Lasso-Type Problems (Q2943784) (← links)
- Non-asymptotic oracle inequalities for the Lasso and Group Lasso in high dimensional logistic model (Q2954238) (← links)
- (Q2958599) (← links)
- Group variable selection in cardiopulmonary cerebral resuscitation data for veterinary patients (Q3168268) (← links)
- Grouped Variable Selection Using Area under the ROC with Imbalanced Data (Q3178533) (← links)
- PUlasso: High-Dimensional Variable Selection With Presence-Only Data (Q3304856) (← links)
- Variable selection for logistic regression via smooth Lasso and spline Lasso (Q3306296) (← links)
- Logistic 组稀疏回归模型的 Bayes 建模及变分推断 (Q3307533) (← links)
- Generalized <i>t</i>‐statistic for two‐group classification (Q3459938) (← links)
- Structured Sparsity: Discrete and Convex Approaches (Q3460840) (← links)
- Modular proximal optimization for multidimensional total-variation regularization (Q4614088) (← links)
- Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction (Q4629271) (← links)
- Sure Independence Screening for Ultrahigh Dimensional Feature Space (Q4632602) (← links)
- Stability Selection (Q4632639) (← links)
- Forward-Backward Selection with Early Dropping (Q4633015) (← links)
- Proximal gradient method with automatic selection of the parameter by automatic differentiation (Q4685565) (← links)
- Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates (Q4960562) (← links)
- Bayesian variable selection logistic regression with paired proteomic measurements (Q4962955) (← links)
- (Q4969077) (← links)
- A Model-Averaging Approach for High-Dimensional Regression (Q4975348) (← links)
- Variable selection and prediction using a nested, matched case‐control study: Application to hospital acquired pneumonia in stroke patients (Q4979244) (← links)
- (Q4998960) (← links)
- Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models (Q4999175) (← links)
- Multiple Kernel Learningの学習理論 (Q5011460) (← links)
- (Q5037987) (← links)
- (Q5053279) (← links)
