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Estimation of smooth functionals in high-dimensional models: bootstrap
  chains and Gaussian approximation
v1v2v3 (latest)

Estimation of smooth functionals in high-dimensional models: bootstrap chains and Gaussian approximation

7 November 2020
V. Koltchinskii
ArXiv (abs)PDFHTML

Papers citing "Estimation of smooth functionals in high-dimensional models: bootstrap chains and Gaussian approximation"

7 / 7 papers shown
Möbius inversion and the bootstrap
Möbius inversion and the bootstrap
Florian Schäfer
192
0
0
11 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
367
2
0
29 Apr 2024
Assumption-lean falsification tests of rate double-robustness of
  double-machine-learning estimators
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimatorsJournal of Econometrics (J. Econometrics), 2023
Lin Liu
Rajarshi Mukherjee
J. M. Robins
547
5
0
18 Jun 2023
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 rankAnnales De L Institut Henri Poincare-probabilites Et Statistiques (Ann. Inst. Henri Poincaré Probab. Stat.), 2022
V. Koltchinskii
344
3
0
20 May 2022
Functional estimation in log-concave location families
Functional estimation in log-concave location families
V. Koltchinskii
Martin Wahl
167
2
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
262
26
0
30 May 2021
Estimation of Smooth Functionals in Normal Models: Bias Reduction and
  Asymptotic Efficiency
Estimation of Smooth Functionals in Normal Models: Bias Reduction and Asymptotic EfficiencyAnnals of Statistics (Ann. Stat.), 2019
V. Koltchinskii
M. Zhilova
227
12
0
18 Dec 2019
1
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