Pages that link to "Item:Q2256779"
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The following pages link to Multinomial logit models with implicit variable selection (Q2256779):
Displaying 10 items.
- Bias-corrected AIC for selecting variables in multinomial logistic regression models (Q414719) (← links)
- Multivariate logit models (Q1277826) (← links)
- Variable selection in general multinomial logit models (Q1623760) (← links)
- Selecting amongst multinomial models: an apologia for normalized maximum likelihood (Q2197107) (← links)
- A classification tree approach for the modeling of competing risks in discrete time (Q2303058) (← links)
- Bayesian multinomial latent variable modeling for fraud and abuse detection in health insurance (Q2374118) (← links)
- Using penalized likelihood to select parameters in a random coefficients multinomial logit model (Q2658770) (← links)
- Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates (Q6069485) (← links)
- Regularization methods for high-dimensional data as a tool for seafood traceability (Q6069692) (← links)
- Multinomial Logit Processes and Preference Discovery: Inside and Outside the Black Box (Q6108948) (← links)
