Concentration inequalities of MLE and robust MLE
Xiaowei Yang,
Xinqiao Liu and
Haoyu Wei
Communications in Statistics - Theory and Methods, 2024, vol. 53, issue 19, 6944-6956
Abstract:
The Maximum Likelihood Estimator (MLE) serves an important role in statistics and machine learning. In this article, for i.i.d. variables, we obtain constant-specified and sharp concentration inequalities and oracle inequalities for the MLE only under exponential moment conditions. Furthermore, in a robust setting, the sub-Gaussian type oracle inequalities of the log-truncated maximum likelihood estimator are derived under the second-moment condition.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:53:y:2024:i:19:p:6944-6956
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DOI: 10.1080/03610926.2023.2253945
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