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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

19 September 2016
Andreas Anastasiou
ArXiv (abs)PDFHTML

Papers citing "Bounds for the normal approximation of the maximum likelihood estimator from m-dependent random variables"

6 / 6 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
15
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
Stein's method and the distribution of the product of zero mean
  correlated normal random variables
Stein's method and the distribution of the product of zero mean correlated normal random variables
Robert E. Gaunt
25
6
0
11 Jun 2019
Bounds for the asymptotic distribution of the likelihood ratio
Bounds for the asymptotic distribution of the likelihood ratio
Andreas Anastasiou
Gesine Reinert
59
17
0
10 Jun 2018
Bounds for the asymptotic normality of the maximum likelihood estimator
  using the Delta method
Bounds for the asymptotic normality of the maximum likelihood estimator using the Delta method
Andreas Anastasiou
Christophe Ley
50
13
0
20 Aug 2015
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