Pages that link to "Item:Q2497175"

The following pages link to Boosting for high-dimensional linear models (Q2497175):

Displaying 40 items.

• Asymptotic properties of bridge estimators in sparse high-dimensional regression models (Q2426616) (← links)
• Early stopping in \(L_{2}\)Boosting (Q2445675) (← links)
• Boosting iterative stochastic ensemble method for nonlinear calibration of subsurface flow models (Q2449910) (← links)
• Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities (Q2456008) (← links)
• Instrumental variables estimation with many weak instruments using regularized JIVE (Q2511799) (← links)
• Wavelet-based gradient boosting (Q2631350) (← links)
• Reprint of: A forward-backward greedy approach for sparse multiscale learning (Q2679340) (← links)
• Iterative selection using orthogonal regression techniques (Q2870764) (← links)
• Boosting in structured additive models. (Q2914098) (← links)
• Splines for financial volatility (Q2920261) (← links)
• Tilting methods for assessing the influence of components in a classifier (Q2920282) (← links)
• Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data (Q2956823) (← links)
• Sparse boosting (Q3093379) (← links)
• (Q3174065) (← links)
• Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space (Q3303656) (← links)
• Boosting with missing predictors (Q3305011) (← links)
• A NONPARAMETRIC ESTIMATOR FOR THE COVARIANCE FUNCTION OF FUNCTIONAL DATA (Q3465607) (← links)
• Variable Selection and Model Choice in Geoadditive Regression Models (Q3637018) (← links)
• On b-bit min-wise hashing for large-scale regression and classification with sparse data (Q4558503) (← links)
• Detection of differential item functioning in Rasch models by boosting techniques (Q4614710) (← links)
• TESTS OF THE MARTINGALE DIFFERENCE HYPOTHESIS USING BOOSTING AND RBF NEURAL NETWORK APPROXIMATIONS (Q4933583) (← links)
• Subject-specific Bradley–Terry–Luce models with implicit variable selection (Q4971434) (← links)
• Dimension reduction boosting (Q4975124) (← links)
• Conditional sparse boosting for high-dimensional instrumental variable estimation (Q5040523) (← links)
• A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution (Q5066752) (← links)
• Sparsity identification for high-dimensional partially linear model with measurement error (Q5085031) (← links)
• Feature Selection by Canonical Correlation Search in High-Dimensional Multiresponse Models With Complex Group Structures (Q5120660) (← links)
• General Sparse Boosting: Improving Feature Selection of L₂Boosting by Correlation-Based Penalty Family (Q5265816) (← links)
• (Q5488710) (← links)
• Optimization by Gradient Boosting (Q5870986) (← links)
• Discussion on “Two-Stage Procedures for High-Dimensional Data” by Makoto Aoshima and Kazuyoshi Yata (Q5894437) (← links)
• Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method (Q6055650) (← links)
• Greedy Variable Selection for High-Dimensional Cox Models (Q6069891) (← links)
• Using predictability to improve matching of urban locations in Philadelphia (Q6138592) (← links)
• Forward-selected panel data approach for program evaluation (Q6163247) (← links)
• Estimation and inference of treatment effects with \(L_2\)-boosting in high-dimensional settings (Q6163259) (← links)
• Rank-based sequential feature selection for high-dimensional accelerated failure time models with main and interaction effects (Q6626705) (← links)
• Robust statistical boosting with quantile-based adaptive loss functions (Q6636211) (← links)
• Significance tests for boosted location and scale models with linear base-learners (Q6637197) (← links)
• Variable selection in high dimensional linear regressions with parameter instability (Q6664675) (← links)