Pages that link to "Item:Q2418291"
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The following pages link to A uniform framework for the combination of penalties in generalized structured models (Q2418291):
Displaying 13 items.
- Variable Selection Using a Smooth Information Criterion for Distributional Regression Models (Q85096) (← links)
- Tree-structured modelling of categorical predictors in generalized additive regression (Q137407) (← links)
- Connecting the multivariate partial least squares with canonical analysis: a path-following approach (Q2228286) (← links)
- Sparse regression for large data sets with outliers (Q2242288) (← links)
- Lasso-type penalization in the framework of generalized additive models for location, scale and shape (Q2337322) (← links)
- Sparse regression with multi-type regularized feature modeling (Q2657005) (← links)
- Lasso regularization within the LocalGLMnet architecture (Q6062813) (← links)
- Modelling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures (Q6086487) (← links)
- Editorial special issue: statistics in sports (Q6107396) (← links)
- Introducing Lasso-type penalisation to generalised joint regression modelling for count data (Q6107410) (← links)
- Mixture Composite Regression Models with Multi-type Feature Selection (Q6110498) (← links)
- A flexible adaptive lasso Cox frailty model based on the full likelihood (Q6649351) (← links)
- A regularized hidden Markov model for analyzing the `hot shoe' in football (Q6665017) (← links)
