Pages that link to "Item:Q4975344"
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The following pages link to Model Selection via Bayesian Information Criterion for Quantile Regression Models (Q4975344):
Displaying 32 items.
- Partially linear additive quantile regression in ultra-high dimension (Q5963523) (← links)
- Data Integration in High Dimension With Multiple Quantiles (Q6039864) (← links)
- Forward variable selection for ultra-high dimensional quantile regression models (Q6046050) (← links)
- Tensor Response Quantile Regression with Neuroimaging Data (Q6079679) (← links)
- Quantile forward regression for high-dimensional survival data (Q6092305) (← links)
- One-step sparse estimates in the reverse penalty for high-dimensional correlated data (Q6099504) (← links)
- Wild bootstrap inference for penalized quantile regression for longitudinal data (Q6108328) (← links)
- Semiparametric model averaging for ultrahigh-dimensional conditional quantile prediction (Q6113515) (← links)
- Model averaging for support vector classifier by cross-validation (Q6117027) (← links)
- Variable selection for nonparametric quantile regression via measurement error model (Q6120382) (← links)
- Forward selection for feature screening and structure identification in varying coefficient models (Q6133729) (← links)
- A multi-kink quantile regression model with common structure for panel data analysis (Q6150510) (← links)
- High-dimensional composite quantile regression: optimal statistical guarantees and fast algorithms (Q6184871) (← links)
- Additive partially linear models for ultra-high-dimensional regression (Q6541498) (← links)
- Analysis of global and local optima of regularized quantile regression in high dimensions: a subgradient approach (Q6542443) (← links)
- High-dimensional model averaging for quantile regression (Q6554768) (← links)
- Screen then select: a strategy for correlated predictors in high-dimensional quantile regression (Q6570338) (← links)
- Group sparse structural smoothing recovery: model, statistical properties and algorithm (Q6570353) (← links)
- Robust integrative analysis via quantile regression with homogeneity and sparsity (Q6616189) (← links)
- An efficient model-free approach to interaction screening for high dimensional data (Q6617514) (← links)
- Identifying important gene signatures of BMI using network structure-aided nonparametric quantile regression (Q6617521) (← links)
- Penalized weighted smoothed quantile regression for high-dimensional longitudinal data (Q6618491) (← links)
- Locally Stationary Quantile Regression for Inflation and Interest Rates (Q6620907) (← links)
- Estimation and Inference for Multi-Kink Quantile Regression (Q6620934) (← links)
- Efficient functional Lasso kernel smoothing for high-dimensional additive regression (Q6621545) (← links)
- Rank-based sequential feature selection for high-dimensional accelerated failure time models with main and interaction effects (Q6626705) (← links)
- A model-based multithreshold method for subgroup identification (Q6627149) (← links)
- Subgroup analysis in the heterogeneous Cox model (Q6627923) (← links)
- Forecasting Value at Risk and Expected Shortfall Using a Semiparametric Approach Based on the Asymmetric Laplace Distribution (Q6634847) (← links)
- Bayesian information criterion approximations to Bayes factors for univariate and multivariate logistic regression models (Q6636023) (← links)
- Exploration of heterogeneous treatment effects via concave fusion (Q6636031) (← links)
- Model-averaging-based semiparametric modeling for conditional quantile prediction (Q6649847) (← links)