Pages that link to "Item:Q1901393"
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The following pages link to A mixture likelihood approach for generalized linear models (Q1901393):
Displaying 13 items.
- Model‐based clustering of regression time series data via APECM—an AECM algorithm sung to an even faster beat (Q4969810) (← links)
- Latent regression analysis (Q4970576) (← links)
- A CLASS OF MIXTURE OF EXPERTS MODELS FOR GENERAL INSURANCE: APPLICATION TO CORRELATED CLAIM FREQUENCIES (Q4972120) (← links)
- Hierarchical mixture-of-experts models for count variables with excessive zeros (Q5079812) (← links)
- Localized mixture models for prediction with application (Q5081021) (← links)
- Multivariate linear regression for heterogeneous data (Q5129008) (← links)
- A DIAGNOSTIC TOOL FOR CHECKING ASSUMPTIONS OF REGRESSION MIXTURE MODELS (Q5204767) (← links)
- Random effect models for multivariate mixed data: A Parafac-based finite mixture approach (Q6078167) (← links)
- Cumulative and CUB Models for Rating Data: A Comparative Analysis (Q6086613) (← links)
- Predictors with measurement error in mixtures of polynomial regressions (Q6104423) (← links)
- Local and overall deviance R-squared measures for mixtures of generalized linear models (Q6138120) (← links)
- Leveraging Weather Dynamics in Insurance Claims Triage Using Deep Learning (Q6567876) (← links)
- Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods (Q6589380) (← links)
