Pages that link to "Item:Q2226686"
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The following pages link to A new Bayesian approach to robustness against outliers in linear regression (Q2226686):
Displaying 14 items.
- Robustness against outliers: A new variance inflated regression model for proportions (Q96424) (← links)
- Efficient and robust estimation of regression and scale parameters, with outlier detection (Q829754) (← links)
- Bayesian likelihood robustness in linear models (Q1015863) (← links)
- Theoretical properties of Bayesian Student-\(t\) linear regression (Q2105358) (← links)
- Log-regularly varying scale mixture of normals for robust regression (Q2143030) (← links)
- Informed reversible jump algorithms (Q2233560) (← links)
- Bayesian robustness to outliers in linear regression and ratio estimation (Q2415487) (← links)
- A principal component analysis of multivariate data on inflation for Nigeria (Q5062349) (← links)
- On the robustness to outliers of the Student‐t process (Q6049757) (← links)
- Robust heavy-tailed versions of generalized linear models with applications in actuarial science (Q6561262) (← links)
- Posterior robustness with milder conditions: contamination models revisited (Q6569456) (← links)
- Short proof of posterior robustness: An illustration of basic ideas in a simple case (Q6597443) (← links)
- Bayesian modal regression based on mixture distributions (Q6626675) (← links)
- Robustness against conflicting prior information in regression (Q6650956) (← links)
