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Bounds for the asymptotic normality of the maximum likelihood estimator
  using the Delta method
v1v2v3 (latest)

Bounds for the asymptotic normality of the maximum likelihood estimator using the Delta method

20 August 2015
Andreas Anastasiou
Christophe Ley
ArXiv (abs)PDFHTML

Papers citing "Bounds for the asymptotic normality of the maximum likelihood estimator using the Delta method"

5 / 5 papers shown
Title
Finite-sample bounds to the normal limit under group sequential sampling
Finite-sample bounds to the normal limit under group sequential sampling
Julian Aronowitz
J. Bartroff
20
0
0
14 Feb 2023
Bounds in $L^1$ Wasserstein distance on the normal approximation of
  general M-estimators
Bounds in L1L^1L1 Wasserstein distance on the normal approximation of general M-estimators
François Bachoc
M. Fathi
46
0
0
18 Nov 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent
  Developments
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments
Andreas Anastasiou
Alessandro Barp
F. Briol
B. Ebner
Robert E. Gaunt
...
Qiang Liu
Lester W. Mackey
Chris J. Oates
Gesine Reinert
Yvik Swan
101
35
0
07 May 2021
Wasserstein distance error bounds for the multivariate normal
  approximation of the maximum likelihood estimator
Wasserstein distance error bounds for the multivariate normal approximation of the maximum likelihood estimator
Andreas Anastasiou
Robert E. Gaunt
59
9
0
11 May 2020
Bounds for the normal approximation of the maximum likelihood estimator
  from m-dependent random variables
Bounds for the normal approximation of the maximum likelihood estimator from m-dependent random variables
Andreas Anastasiou
59
22
0
19 Sep 2016
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