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Estimation of Smooth Functionals in Normal Models: Bias Reduction and
  Asymptotic Efficiency

Estimation of Smooth Functionals in Normal Models: Bias Reduction and Asymptotic Efficiency

18 December 2019
V. Koltchinskii
M. Zhilova
ArXiv (abs)PDFHTML

Papers citing "Estimation of Smooth Functionals in Normal Models: Bias Reduction and Asymptotic Efficiency"

7 / 7 papers shown
Title
Möbius inversion and the bootstrap
Möbius inversion and the bootstrap
Florian Schäfer
64
0
0
11 Aug 2024
Optimal Estimation of Structured Covariance Operators
Optimal Estimation of Structured Covariance Operators
Omar Al Ghattas
Jiaheng Chen
D. Sanz-Alonso
Nathan Waniorek
96
4
0
04 Aug 2024
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
Kaizhao Liu
Jose H. Blanchet
Lexing Ying
Yiping Lu
74
0
0
29 Apr 2024
Estimation of smooth functionals of covariance operators: jackknife bias
  reduction and bounds in terms of effective rank
Estimation of smooth functionals of covariance operators: jackknife bias reduction and bounds in terms of effective rank
V. Koltchinskii
56
2
0
20 May 2022
Functional estimation in log-concave location families
Functional estimation in log-concave location families
V. Koltchinskii
Martin Wahl
24
1
0
31 Jul 2021
The HulC: Confidence Regions from Convex Hulls
The HulC: Confidence Regions from Convex Hulls
Arun K. Kuchibhotla
Sivaraman Balakrishnan
Larry A. Wasserman
66
20
0
30 May 2021
Estimation of smooth functionals in high-dimensional models: bootstrap
  chains and Gaussian approximation
Estimation of smooth functionals in high-dimensional models: bootstrap chains and Gaussian approximation
V. Koltchinskii
57
8
0
07 Nov 2020
1