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Gaussian Approximation for High Dimensional Time Series

Gaussian Approximation for High Dimensional Time Series

27 August 2015
Danna Zhang
Wei Biao Wu
ArXivPDFHTML

Papers citing "Gaussian Approximation for High Dimensional Time Series"

50 / 53 papers shown
Title
Robust Max Statistics for High-Dimensional Inference
Robust Max Statistics for High-Dimensional Inference
Mingshuo Liu
Miles E. Lopes
27
1
0
25 Sep 2024
Gaussian Approximation for Lag-Window Estimators and the Construction of
  Confidence bands for the Spectral Density
Gaussian Approximation for Lag-Window Estimators and the Construction of Confidence bands for the Spectral Density
Jens-Peter Kreiss
Anne Leucht
E. Paparoditis
17
0
0
17 Jul 2024
Bayesian Inference for High-dimensional Time Series by Latent Process
  Modeling
Bayesian Inference for High-dimensional Time Series by Latent Process Modeling
Arkaprava Roy
Anindya Roy
S. Ghosal
AI4TS
26
0
0
07 Mar 2024
A remark on moment-dependent phase transitions in high-dimensional
  Gaussian approximations
A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations
Anders Bredahl Kock
David Preinerstorfer
26
3
0
19 Oct 2023
Statistical inference of high-dimensional vector autoregressive time
  series with non-i.i.d. innovations
Statistical inference of high-dimensional vector autoregressive time series with non-i.i.d. innovations
Yunyi Zhang
23
1
0
11 Oct 2023
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
Alexander Giessing
Jianqing Fan
21
2
0
03 Sep 2023
Memory of recurrent networks: Do we compute it right?
Memory of recurrent networks: Do we compute it right?
Giovanni Ballarin
Lyudmila Grigoryeva
Juan-Pablo Ortega
25
4
0
02 May 2023
Sparse High-Dimensional Vector Autoregressive Bootstrap
Sparse High-Dimensional Vector Autoregressive Bootstrap
R. Adámek
Stephan Smeekes
Ines Wilms
34
1
0
02 Feb 2023
Testing Many Zero Restrictions in a High Dimensional Linear Regression
  Setting
Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting
Jonathan B. Hill
31
0
0
22 Jan 2023
Simultaneous Inference of a Partially Linear Model in Time Series
Simultaneous Inference of a Partially Linear Model in Time Series
Jiaqi Li
Likai Chen
Kun-Ho Kim
Tianwei Zhou
24
1
0
19 Dec 2022
High-dimensional Berry-Esseen Bound for $m$-Dependent Random Samples
High-dimensional Berry-Esseen Bound for mmm-Dependent Random Samples
Heejong Bong
Arun K. Kuchibhotla
Alessandro Rinaldo
11
1
0
10 Dec 2022
A Global Wavelet Based Bootstrapped Test of Covariance Stationarity
A Global Wavelet Based Bootstrapped Test of Covariance Stationarity
Jonathan B. Hill
Tianqi Li
23
1
0
25 Oct 2022
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
31
28
0
19 May 2022
Sequential Gaussian approximation for nonstationary time series in high
  dimensions
Sequential Gaussian approximation for nonstationary time series in high dimensions
Fabian Mies
A. Steland
16
13
0
07 Mar 2022
Debiased and threshold ridge regression for linear model with
  heteroskedastic and dependent error
Debiased and threshold ridge regression for linear model with heteroskedastic and dependent error
Yunyi Zhang
D. Politis
6
1
0
26 Oct 2021
Graphical models for nonstationary time series
Graphical models for nonstationary time series
Sumanta Basu
S. Subba Rao
85
6
0
17 Sep 2021
Empirical process theory for nonsmooth functions under functional
  dependence
Empirical process theory for nonsmooth functions under functional dependence
Nathawut Phandoidaen
S. Richter
11
1
0
19 Aug 2021
Wavelet eigenvalue regression in high dimensions
Wavelet eigenvalue regression in high dimensions
P. Abry
B. C. Boniece
G. Didier
H. Wendt
25
4
0
09 Aug 2021
Gaussian approximation and spatially dependent wild bootstrap for
  high-dimensional spatial data
Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data
Daisuke Kurisu
Kengo Kato
Xiaofeng Shao
81
12
0
19 Mar 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
21
42
0
17 Dec 2020
Simultaneous inference for time-varying models
Simultaneous inference for time-varying models
Sayar Karmakar
S. Richter
Wei Biao Wu
12
35
0
26 Nov 2020
Testing (Infinitely) Many Zero Restrictions
Testing (Infinitely) Many Zero Restrictions
Jonathan B. Hill
19
0
0
03 Nov 2020
Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap
Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap
Yunyi Zhang
D. Politis
8
12
0
17 Sep 2020
Inference for high-dimensional exchangeable arrays
Inference for high-dimensional exchangeable arrays
Harold D. Chiang
Kengo Kato
Yuya Sasaki
34
12
0
10 Sep 2020
Slightly Conservative Bootstrap for Maxima of Sums
Slightly Conservative Bootstrap for Maxima of Sums
Hang Deng
13
9
0
31 Jul 2020
Lasso Inference for High-Dimensional Time Series
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
30
33
0
21 Jul 2020
Berry-Esseen Bounds for Projection Parameters and Partial Correlations
  with Increasing Dimension
Berry-Esseen Bounds for Projection Parameters and Partial Correlations with Increasing Dimension
Arun K. Kuchibhotla
Alessandro Rinaldo
Larry A. Wasserman
11
6
0
19 Jul 2020
Empirical process theory for locally stationary processes
Empirical process theory for locally stationary processes
Nathawut Phandoidaen
S. Richter
14
7
0
11 Jul 2020
Frequency Detection and Change Point Estimation for Time Series of
  Complex Oscillation
Frequency Detection and Change Point Estimation for Time Series of Complex Oscillation
Hau‐Tieng Wu
Zhou Zhou
15
5
0
05 May 2020
Statistical Inference for High Dimensional Panel Functional Time Series
Statistical Inference for High Dimensional Panel Functional Time Series
Zhou Zhou
Holger Dette
29
14
0
12 Mar 2020
High-dimensional Central Limit Theorems by Stein's Method
High-dimensional Central Limit Theorems by Stein's Method
Xiao Fang
Yuta Koike
12
42
0
29 Jan 2020
Improved Central Limit Theorem and bootstrap approximations in high
  dimensions
Improved Central Limit Theorem and bootstrap approximations in high dimensions
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
34
74
0
22 Dec 2019
All of Linear Regression
All of Linear Regression
Arun K. Kuchibhotla
L. Brown
A. Buja
Junhui Cai
11
8
0
14 Oct 2019
Probability inequalities for high dimensional time series under a
  triangular array framework
Probability inequalities for high dimensional time series under a triangular array framework
Fang Han
Weibiao Wu
AI4TS
8
6
0
15 Jul 2019
Deviation inequalities for separately Lipschitz functionals of
  composition of random functions
Deviation inequalities for separately Lipschitz functionals of composition of random functions
J. Dedecker
P. Doukhan
Xiequan Fan
12
5
0
03 Jul 2019
Sample Splitting and Weak Assumption Inference For Time Series
Sample Splitting and Weak Assumption Inference For Time Series
Robert Lunde
11
2
0
20 Feb 2019
A General Theory for Large-Scale Curve Time Series via Functional
  Stability Measure
A General Theory for Large-Scale Curve Time Series via Functional Stability Measure
Shaojun Guo
Xinghao Qiao
59
3
0
18 Dec 2018
Algebraic tests of general Gaussian latent tree models
Algebraic tests of general Gaussian latent tree models
Dennis Leung
Mathias Drton
24
4
0
26 Oct 2018
Deterministic Inequalities for Smooth M-estimators
Deterministic Inequalities for Smooth M-estimators
Arun K. Kuchibhotla
27
8
0
13 Sep 2018
A high dimensional Central Limit Theorem for martingales, with
  applications to context tree models
A high dimensional Central Limit Theorem for martingales, with applications to context tree models
A. Belloni
R. Oliveira
17
14
0
08 Sep 2018
Mixed-normal limit theorems for multiple Skorohod integrals in
  high-dimensions, with application to realized covariance
Mixed-normal limit theorems for multiple Skorohod integrals in high-dimensions, with application to realized covariance
Yuta Koike
14
5
0
13 Jun 2018
High-Dimensional Econometrics and Regularized GMM
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
26
67
0
05 Jun 2018
On nonparametric inference for spatial regression models under domain
  expanding and infill asymptotics
On nonparametric inference for spatial regression models under domain expanding and infill asymptotics
Daisuke Kurisu
7
9
0
25 Apr 2018
Uniform-in-Submodel Bounds for Linear Regression in a Model Free
  Framework
Uniform-in-Submodel Bounds for Linear Regression in a Model Free Framework
Arun K. Kuchibhotla
L. Brown
A. Buja
E. George
Linda H. Zhao
13
2
0
15 Feb 2018
Finite sample change point inference and identification for
  high-dimensional mean vectors
Finite sample change point inference and identification for high-dimensional mean vectors
Mengjia Yu
Xiaohui Chen
29
37
0
23 Nov 2017
Gaussian approximation of maxima of Wiener functionals and its
  application to high-frequency data
Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data
Yuta Koike
18
15
0
01 Sep 2017
Lasso Guarantees for $ β$-Mixing Heavy Tailed Time Series
Lasso Guarantees for β ββ-Mixing Heavy Tailed Time Series
Kam Chung Wong
Zifan Li
Ambuj Tewari
27
25
0
03 Aug 2017
High-dimensional Linear Regression for Dependent Data with Applications
  to Nowcasting
High-dimensional Linear Regression for Dependent Data with Applications to Nowcasting
Yuefeng Han
R. Tsay
6
20
0
24 Jun 2017
Simultaneous Inference for High Dimensional Mean Vectors
Simultaneous Inference for High Dimensional Mean Vectors
Zhipeng Lou
Wei Biao Wu
13
2
0
16 Apr 2017
Gaussian and bootstrap approximations for high-dimensional U-statistics
  and their applications
Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications
Xiaohui Chen
12
56
0
30 Sep 2016
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