May 12, 2022 · This package implements the Fast and Robust Bootstrap as proposed in Salibian-Barrera and Zamar (2002), and Salibian-Barrera, M., Van Aels, ...
Feb 23, 2007 · In this paper we review recent developments on a bootstrap method for robust estimators which is computationally faster and more resistant ...
Mar 24, 2024 · We compare the fast robust bootstrap procedure proposed with another approach that is still robust but slower. In the slow-robust approach we ...
Abstract In this paper we review recent developments on a bootstrap method for robust estimators which is computationally faster and more resistant to outliers ...
By using the FRB, the selection criteria can be calculated much faster than with alternative bootstrap approaches, which makes robust model selection feasible ...
Apr 21, 2013 · It provides both the robust point estimates and uncertainty measures based on the fast and robust bootstrap. In this paper we give some ...
In this paper we review recent developments on a bootstrap method for robust estimators which is computationally faster and more resistant to outliers than ...
This paper describes the fast and robust bootstrap method in general and considers its application to perform inference based on robust estimators for the ...
In this paper we review recent developments on a bootstrap method for robust estimators which is computationally faster and more resistant to outliers than the ...
People also ask
How fast can I learn bootstrap?
What is the difference between bootstrap and parametric bootstrap?
The basic idea of the FAST-LTS algorithm is to construct many initial h-subsets, apply C-steps to each of them until convergence, and keep the solution with the ...