Pages that link to "Item:Q1733295"
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The following pages link to An introduction to the Bayes information criterion: theoretical foundations and interpretation (Q1733295):
Displaying 13 items.
- Model-based clustering for conditionally correlated categorical data (Q269537) (← links)
- On model selection, Bayesian networks, and the Fisher information integral (Q1670496) (← links)
- A theoretical note on the prior information criterion (Q1680995) (← links)
- Bayesian variable selection in linear regression (Q1733296) (← links)
- Approximations and consistency of Bayes factors as model dimension grows (Q1869121) (← links)
- Efficient Bayesian inference of general Gaussian models on large phylogenetic trees (Q2245176) (← links)
- Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model (Q2397123) (← links)
- Model-based clustering of Gaussian copulas for mixed data (Q4605242) (← links)
- A Bayesian Information Criterion for Singular Models (Q5381081) (← links)
- Information criteria for inhomogeneous spatial point processes (Q6075103) (← links)
- Laplace's method and BIC model selection for least absolute value criterion (Q6101708) (← links)
- Data-driven model selection for same-realization predictions in autoregressive processes (Q6173728) (← links)
- An iterative algorithm for joint covariate and random effect selection in mixed effects models (Q6636052) (← links)
