Pages that link to "Item:Q5965299"
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The following pages link to Loss function based ranking in two-stage, hierarchical models (Q5965299):
Displaying 16 items.
- Classification loss function for parameter ensembles in Bayesian hierarchical models (Q434738) (← links)
- Hierarchical rank aggregation with applications to nanotoxicology (Q486007) (← links)
- Discussion of ``Likelihood inference for models with unobservables: another view'' (Q907954) (← links)
- Simultaneous confidence intervals for ranks using the partitioning principle (Q2044391) (← links)
- Measuring performance for end-of-life care (Q2170414) (← links)
- Rank-based methods for modeling dependence between loss triangles (Q2356636) (← links)
- Efficient evaluation of ranking procedures when the number of units is large, with application to SNP identification (Q2786149) (← links)
- Bayesian ranking and selection methods using hierarchical mixture models in microarray studies (Q3305021) (← links)
- Covariate Adjustment and Ranking Methods to Identify Regions with High and Low Mortality Rates (Q3576942) (← links)
- Complete ranking procedures with appropriate loss functions (Q3978040) (← links)
- Statistical profiling methods with hierarchical logistic regression for healthcare providers with binary outcomes (Q5128557) (← links)
- (Q5194151) (← links)
- Learning Theory (Q5473639) (← links)
- Invidious comparisons: ranking and selection as compound decisions (Q6536508) (← links)
- A Bayesian hierarchical model for signal extraction from protein microarrays (Q6617503) (← links)
- Bayesian inferences on uncertain ranks and orderings: application to ranking players and lineups (Q6650954) (← links)