Pages that link to "Item:Q3405559"
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The following pages link to A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article) (Q3405559):
Displaying 50 items.
- A clustering-based feature selection method for automatically generated relational attributes (Q2241179) (← links)
- Variable selection in the Box-Cox power transformation model (Q2242871) (← links)
- Efficient reconstructions of Common Era climate via integrated nested Laplace approximations (Q2273008) (← links)
- Variable selection via adaptive false negative control in linear regression (Q2283578) (← links)
- Robust finite mixture regression for heterogeneous targets (Q2287712) (← links)
- High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking (Q2302521) (← links)
- Error density estimation in high-dimensional sparse linear model (Q2304251) (← links)
- Pseudo estimation and variable selection in regression (Q2306244) (← links)
- False discovery control for penalized variable selections with high-dimensional covariates (Q2324959) (← links)
- Linear hypothesis testing for high dimensional generalized linear models (Q2328055) (← links)
- Nonparametric additive beta regression for fractional response with application to body fat data (Q2329907) (← links)
- Subjective Bayesian testing using calibrated prior probabilities (Q2330492) (← links)
- A new test for part of high dimensional regression coefficients (Q2348453) (← links)
- Penalized variable selection in competing risks regression (Q2364037) (← links)
- Bayesian sparse reduced rank multivariate regression (Q2397124) (← links)
- Variable selection in joint location, scale and skewness models of the skew-normal distribution (Q2398850) (← links)
- Generalized canonical correlation variables improved estimation in high dimensional seemingly unrelated regression models (Q2405929) (← links)
- Sparse wavelet estimation in quantile regression with multiple functional predictors (Q2416736) (← links)
- Comparison of deep neural networks and deep hierarchical models for spatio-temporal data (Q2419837) (← links)
- Optimal estimation of direction in regression models with large number of parameters (Q2422875) (← links)
- Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data (Q2423185) (← links)
- GEE analysis of clustered binary data with diverging number of covariates (Q2429935) (← links)
- Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator (Q2442684) (← links)
- Variable selection via combined penalization for high-dimensional data analysis (Q2445677) (← links)
- Model structure selection in single-index-coefficient regression models (Q2637608) (← links)
- Concordance and value information criteria for optimal treatment decision (Q2656587) (← links)
- Asymptotics of AIC, BIC and \(C_p\) model selection rules in high-dimensional regression (Q2676924) (← links)
- Penalized regression for interval-censored times of disease progression: selection of HLA markers in psoriatic arthritis (Q2803501) (← links)
- Regularization in finite mixture of regression models with diverging number of parameters (Q2846451) (← links)
- Parallelism, uniqueness, and large-sample asymptotics for the Dantzig selector (Q2852551) (← links)
- Variable selection in large margin classifier-based probability estimation with high-dimensional predictors (Q2875751) (← links)
- An overview of the new feature selection methods in finite mixture of regression models (Q2903212) (← links)
- Effect of heavy tails on ultra high dimensional variable ranking methods (Q2905102) (← links)
- Laplace Error Penalty-based Variable Selection in High Dimension (Q2949868) (← links)
- RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs (Q3304859) (← links)
- L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses (Q3304862) (← links)
- Particle swarm stepwise (PaSS) algorithm for information criteria-based variable selections (Q3389595) (← links)
- Meta‐analysis based variable selection for gene expression data (Q3465365) (← links)
- Model averaging for M-estimation (Q4559360) (← links)
- An Empirical Comparison of Variable Selection Methods in Competing Risks Model (Q4561896) (← links)
- Adaptive Lasso for generalized linear models with a diverging number of parameters (Q4605261) (← links)
- Evolution of high-frequency systematic trading: a performance-driven gradient boosting model (Q4619504) (← links)
- High Dimensional Variable Selection via Tilting (Q4632676) (← links)
- (Q4633017) (← links)
- (Q4633050) (← links)
- A High‐dimensional Focused Information Criterion (Q4637090) (← links)
- Error Variance Estimation in Ultrahigh-Dimensional Additive Models (Q4690960) (← links)
- 10.1162/153244303322753616 (Q4827807) (← links)
- Variable selection for longitudinal data with high-dimensional covariates and dropouts (Q4960570) (← links)
- An ADMM with continuation algorithm for non-convex SICA-penalized regression in high dimensions (Q4960646) (← links)
