Pages that link to "Item:Q1621251"
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The following pages link to Penalized likelihood and Bayesian function selection in regression models (Q1621251):
Displaying 9 items.
- Mean and quantile boosting for partially linear additive models (Q340847) (← links)
- Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients (Q2095777) (← links)
- Efficiency for Regularization Parameter Selection in Penalized Likelihood Estimation of Misspecified Models (Q2861816) (← links)
- (Q4839963) (← links)
- Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, With Application to Glaucoma Data (Q5231475) (← links)
- Using the Penalized Likelihood Method for Model Selection with Nuisance Parameters Present only under the Alternative: An Application to Switching Regression Models (Q5467624) (← links)
- Bayesian ridge regression for survival data based on a vine copula-based prior (Q6120619) (← links)
- Spike-and-slab least absolute shrinkage and selection operator generalized additive models and scalable algorithms for high-dimensional data analysis (Q6628512) (← links)
- Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: a simulation study (Q6629851) (← links)