Pages that link to "Item:Q5220880"

The following pages link to Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted<i>g</i>priors and reversible jump Markov chain Monte Carlo implementation (Q5220880):

Displaying 8 items.

• Variable selection in finite mixture of regression models with an unknown number of components (Q830075) (← links)
• Bayesian variable selection for finite mixture model of linear regressions (Q1659475) (← links)
• Componentwise variable selection in finite mixture regression (Q1747449) (← links)
• Comparing coefficients across subpopulations in Gaussian mixture regression models (Q2009127) (← links)
• Structured analysis of the high-dimensional FMR model (Q2291318) (← links)
• Bayesian variable selection in linear regression models with non-normal errors (Q2324308) (← links)
• Bayesian analysis for heteroscedastic normal-Pareto mixture model with application (Q5085059) (← links)
• A data-driven reversible jump for estimating a finite mixture of regression models (Q6169919) (← links)