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CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median

CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median

16 May 2025
Imon Banerjee
Sayak Chakrabarty
ArXiv (abs)PDFHTML

Papers citing "CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median"

10 / 10 papers shown
Title
MM-PoE: Multiple Choice Reasoning via. Process of Elimination using
  Multi-Modal Models
MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models
Sayak Chakrabarty
Souradip Pal
LRM
113
1
0
10 Dec 2024
On the Consistency of Maximum Likelihood Estimation of Probabilistic
  Principal Component Analysis
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis
Arghya Datta
Sayak Chakrabarty
53
3
0
08 Nov 2023
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Gregor Geigle
Abhay Jain
Radu Timofte
Goran Glavaš
VLMMLLM
123
32
0
13 Jul 2023
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
Sayak Chakrabarty
K. Makarychev
86
16
0
23 May 2023
Online Bootstrap Inference For Policy Evaluation in Reinforcement
  Learning
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning
Pratik Ramprasad
Yuantong Li
Zhuoran Yang
Zhaoran Wang
W. Sun
Guang Cheng
OffRL
137
28
0
08 Aug 2021
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models
Imon Banerjee
Vinayak A. Rao
Harsha Honnappa
90
12
0
13 Jan 2021
On Applications of Bootstrap in Continuous Space Reinforcement Learning
On Applications of Bootstrap in Continuous Space Reinforcement Learning
Mohamad Kazem Shirani Faradonbeh
Ambuj Tewari
George Michailidis
60
12
0
14 Mar 2019
Rademacher complexity for Markov chains : Applications to kernel
  smoothing and Metropolis-Hasting
Rademacher complexity for Markov chains : Applications to kernel smoothing and Metropolis-Hasting
Patrice Bertail
Franccois Portier
50
11
0
06 Jun 2018
Bootstrap Model Aggregation for Distributed Statistical Learning
Bootstrap Model Aggregation for Distributed Statistical Learning
J. Han
Qiang Liu
FedML
94
10
0
04 Jul 2016
Nonparametric maximum likelihood approach to multiple change-point
  problems
Nonparametric maximum likelihood approach to multiple change-point problems
Changliang Zou
G. Yin
Long Feng
Zhaojun Wang
89
147
0
28 May 2014
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