ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.11756
  4. Cited By
Testing Many Constraints in Possibly Irregular Models Using Incomplete
  U-Statistics
v1v2v3 (latest)

Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics

24 August 2022
Nils Sturma
Mathias Drton
Dennis Leung
ArXiv (abs)PDFHTML

Papers citing "Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics"

12 / 12 papers shown
Title
Singularity-agnostic incomplete U-statistics for testing polynomial
  constraints in Gaussian covariance matrices
Singularity-agnostic incomplete U-statistics for testing polynomial constraints in Gaussian covariance matrices
Dennis Leung
Nils Sturma
43
2
0
04 Jan 2024
Confidence in Causal Discovery with Linear Causal Models
Confidence in Causal Discovery with Linear Causal Models
David Strieder
Tobias Freidling
Stefan Haffner
Mathias Drton
CML
61
11
0
10 Jun 2021
Nearly optimal central limit theorem and bootstrap approximations in
  high dimensions
Nearly optimal central limit theorem and bootstrap approximations in high dimensions
Victor Chernozhukov
Denis Chetverikov
Yuta Koike
70
43
0
17 Dec 2020
Central Limit Theorem and Bootstrap Approximation in High Dimensions:
  Near $1/\sqrt{n}$ Rates via Implicit Smoothing
Central Limit Theorem and Bootstrap Approximation in High Dimensions: Near 1/n1/\sqrt{n}1/n​ Rates via Implicit Smoothing
Miles E. Lopes
56
20
0
13 Sep 2020
High-dimensional Central Limit Theorems by Stein's Method
High-dimensional Central Limit Theorems by Stein's Method
Xiao Fang
Yuta Koike
62
42
0
29 Jan 2020
Approximating high-dimensional infinite-order $U$-statistics:
  statistical and computational guarantees
Approximating high-dimensional infinite-order UUU-statistics: statistical and computational guarantees
Yanglei Song
Xiaohui Chen
Kengo Kato
53
28
0
04 Jan 2019
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics:
  Applications in Covariance Estimation and Linear Regression
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression
Arun K. Kuchibhotla
Abhishek Chakrabortty
64
107
0
08 Apr 2018
Jackknife multiplier bootstrap: finite sample approximations to the
  $U$-process supremum with applications
Jackknife multiplier bootstrap: finite sample approximations to the UUU-process supremum with applications
Xiaohui Chen
Kengo Kato
42
40
0
09 Aug 2017
Inference on causal and structural parameters using many moment
  inequalities
Inference on causal and structural parameters using many moment inequalities
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
91
118
0
30 Dec 2013
Wald tests when restrictions are locally singular
Wald tests when restrictions are locally singular
Jean-Marie Dufour
É. Renault
Victoria Zinde-Walsh
91
10
0
02 Dec 2013
Wald tests of singular hypotheses
Wald tests of singular hypotheses
Mathias Drton
Han Xiao
77
34
0
24 Apr 2013
A Bayesian Approach to Constraint Based Causal Inference
A Bayesian Approach to Constraint Based Causal Inference
Tom Claassen
Tom Heskes
TPM
89
100
0
16 Oct 2012
1