Pages that link to "Item:Q1659475"
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The following pages link to Bayesian variable selection for finite mixture model of linear regressions (Q1659475):
Displaying 15 items.
- Variable selection in finite mixture of regression models with an unknown number of components (Q830075) (← links)
- A Bayesian mixture of Lasso regressions with \(t\)-errors (Q1623580) (← links)
- Componentwise variable selection in finite mixture regression (Q1747449) (← links)
- Variable selection for skew-normal mixture of joint location and scale models (Q2076702) (← links)
- Bayesian variable selection in linear regression models with non-normal errors (Q2324308) (← links)
- (Q3465095) (← links)
- Robust variable selection in finite mixture of regression models using the t distribution (Q5077904) (← links)
- Estimation and variable selection for mixture of joint mean and variance models (Q5079196) (← links)
- Bayesian variable selection in a finite mixture of linear mixed-effects models (Q5107465) (← links)
- 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) (← links)
- Variable selection in finite mixture of regression models using the skew-normal distribution (Q5861390) (← links)
- Bayesian scale mixtures of normals linear regression and Bayesian quantile regression with big data and variable selection (Q6169779) (← links)
- A data-driven reversible jump for estimating a finite mixture of regression models (Q6169919) (← links)
- Bayesian analysis of mixture models with Yeo-Johnson transformation (Q6588683) (← links)
- Bayesian hierarchical finite mixture of regression for histopathological imaging-based cancer data analysis (Q6626756) (← links)
