Robust Estimation Using the Huber Function With a Data-Dependent Tuning Constant

By You‐Gan Wang, Xu Lin, Min Zhu, Z. Bai. 2007

85 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/10e63f878e4d856ca89d6e9940c40f8ce18f0509

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Koby Crammer
2. Asaf Noy

In Statistics and Probability

1. Koby Crammer
2. Asaf Noy

Citations in the corpus

• Robust Forward Algorithms via PAC-Bayes and Laplace Distributions (2014, methodology): “One of its key elements is the Huber loss function [18], extensively used in various applications [31] including robust filtering of Laplace-noise [2], as it allows the effect of outliers to be reduced while treating non-outliers in a relatively standard way.”
• Robust Estimation for Zero‐Inflated Poisson Regression (2009, unknown): “Further research is ongoing to develop methodology for data-dependent selection of c. Recent work on this topic by Wang et al. (2007) seems promising and may be adaptable to our ZIP regression setting.”