Pages that link to "Item:Q1298945"

The following pages link to Model selection with data-oriented penalty (Q1298945):

Displaying 26 items.

• Variable Selection Using a Smooth Information Criterion for Distributional Regression Models (Q85096) (← links)
• A procedure for estimating the number of clusters in logistic regression clustering (Q265316) (← links)
• Clustering and variable selection for categorical multivariate data (Q367219) (← links)
• Penalized least squares for single index models (Q622428) (← links)
• A jackknife type approach to statistical model selection (Q643408) (← links)
• Generalized linear model selection using \(R^2\) (Q951026) (← links)
• Simultaneous change point analysis and variable selection in a regression problem (Q953869) (← links)
• The GIC for model selection: A hypothesis testing approach (Q1579998) (← links)
• Linear model selection by cross-validation (Q1765767) (← links)
• Nonconcave penalized likelihood with a diverging number of parameters. (Q1879926) (← links)
• Model selection by resampling penalization (Q1951992) (← links)
• Smoothed rank correlation of the linear transformation regression model (Q2359515) (← links)
• Model selection: a Lagrange optimization approach (Q2390476) (← links)
• A consistent procedure for determining the number of clusters in regression clustering (Q2573524) (← links)
• Information criteria for latent factor models: a study on factor pervasiveness and adaptivity (Q2688660) (← links)
• An m-estimation-based model selection criterion with a data-oriented penalty (Q2774411) (← links)
• A statistical test of change-point in mean that almost surely has zero error probabilities (Q2803540) (← links)
• A permutation approach for selecting the penalty parameter in penalized model selection (Q2809556) (← links)
• (Q3580551) (← links)
• Learning Theory (Q4680884) (← links)
• Difficulties with the use of penalized likelihood criteria in antedependence and polynomial models (Q4843911) (← links)
• Selection of Regression and Autoregression Models with Initial Ordering of Variables (Q4904704) (← links)
• GEE-Assisted Forward Regression for Spatial Latent Variable Models (Q5057226) (← links)
• Online updating of information based model selection in the big data setting (Q5082794) (← links)
• A deviance-based criterion for model selection in GLM (Q5169750) (← links)
• Bias reduction and model selection in misspecified models (Q6106226) (← links)