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Non-asymptotic theory for nonparametric testing

Non-asymptotic theory for nonparametric testing

Yun Yang
Zuofeng Shang
Guang Cheng
ArXiv (abs)PDFHTML

Papers citing "Non-asymptotic theory for nonparametric testing"

5 / 5 papers shown
Title
Bootstrapping Upper Confidence Bound
Bootstrapping Upper Confidence Bound
Botao Hao
Yasin Abbasi-Yadkori
Zheng Wen
Guang Cheng
78
55
0
12 Jun 2019
A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration
A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration
Mengyang Gu
Fangzheng Xie
Long Wang
37
11
0
10 Jul 2018
How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression?
How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression?
Meimei Liu
Zuofeng Shang
Guang Cheng
39
8
0
25 May 2018
Frequentist coverage and sup-norm convergence rate in Gaussian process regression
Frequentist coverage and sup-norm convergence rate in Gaussian process regression
Yun Yang
A. Bhattacharya
D. Pati
65
54
0
16 Aug 2017
Computational Limits of A Distributed Algorithm For Smoothing Spline
Computational Limits of A Distributed Algorithm For Smoothing Spline
Zuofeng Shang
Guang Cheng
248
56
0
31 Dec 2015

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