Pages that link to "Item:Q3837307"
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The following pages link to A general Akaike-type criterion for model selection in robust regression (Q3837307):
Displaying 21 items.
- Modification of the Mallows-Akaike criterion for selecting the order of a regression model (Q583777) (← links)
- Selection of error probability laws by generalized modified profile likelihood (Q619788) (← links)
- Strong convergence of estimators as \(\varepsilon_n\)-minimisers of optimisation problems (Q816378) (← links)
- Contrast-based information criterion for ergodic diffusion processes from discrete observations (Q904080) (← links)
- On model selection via stochastic complexity in robust linear regression (Q1299010) (← links)
- Consistent model selection based on parameter estimates. (Q1427514) (← links)
- Robust model selection in regression via weighted likelihood methodology (Q1613004) (← links)
- Computations and analysis in robust regression model (Q1979096) (← links)
- On the predictive risk in misspecified quantile regression (Q2330755) (← links)
- Jackknife model averaging for quantile regressions (Q2354857) (← links)
- An m-estimation-based model selection criterion with a data-oriented penalty (Q2774411) (← links)
- Weighted Wilcoxon‐Type Smoothly Clipped Absolute Deviation Method (Q3637007) (← links)
- Applied regression analysis bibliography update 1994-97 (Q4216805) (← links)
- A robust generalization and asymptotic properties of the model selection criterion family (Q4638724) (← links)
- A Comparison of Robust Model Choice Criteria Within a Metalearning Study (Q5141232) (← links)
- A model selection method for S‐estimation (Q5427671) (← links)
- On robust model selection within the Cox model (Q5488517) (← links)
- Robust Model Averaging Method Based on LOF Algorithm (Q6122956) (← links)
- Outlier robust model averaging based on \(_{}\) criterion (Q6541810) (← links)
- High-dimensional model averaging for quantile regression (Q6554768) (← links)
- From model selection to maps: a completely design-based data-driven inference for mapping forest resources (Q6626500) (← links)