Pages that link to "Item:Q5355571"

The following pages link to A Small Sample Model Selection Criterion Based on Kullback's Symmetric Divergence (Q5355571):

Displaying 16 items.

• Variable selection in linear regression: several approaches based on normalized maximum likelihood (Q553666) (← links)
• A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence (Q956315) (← links)
• A model selection criterion based on the BHHJ measure of divergence (Q958777) (← links)
• A corrected Akaike criterion based on Kullback's symmetric divergence: applications in time series, multiple and multivariate regression (Q959247) (← links)
• The Kullback information criterion for mixture regression models (Q968467) (← links)
• Finite sample FPE and AIC criteria for autoregressive model order selection using same-realization predictions (Q983765) (← links)
• A model selection approach to signal denoising using Kullback's symmetric divergence (Q1031121) (← links)
• Asymptotic bootstrap corrections of AIC for linear regression models (Q1048800) (← links)
• A criterion for local model selection (Q2300091) (← links)
• Identification of directed influence: Granger causality, Kullback-Leibler divergence, and complexity (Q2919418) (← links)
• Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition (Q5378349) (← links)
• Is First-Order Vector Autoregressive Model Optimal for fMRI Data? (Q5380317) (← links)
• (Q5876287) (← links)
• Quantum information criteria for model selection in quantum state estimation (Q6053758) (← links)
• On the selection of predictors by using greedy algorithms and information theoretic criteria (Q6075184) (← links)
• Missing values and directional outlier detection in model-based clustering (Q6657925) (← links)