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Results : 101-121/121

Testing for independence of large dimensional vectors

Authors: Taras Bodnar Holger Dette Nestor Parolya

Journal: Annals of statistics

Citation: Taras Bodnar et al., Testing for independence of large dimensional vectors, Annals of statistics , 47(5), 2019, pp. 2977-3008

Distributed estimation of principal eigenspaces

Authors: Jianqing Fan Dong Wang Kaizheng Wang Ziwei Zhu

Journal: Annals of statistics

Citation: Jianqing Fan et al., Distributed estimation of principal eigenspaces, Annals of statistics , 47(6), 2019, pp. 3009-3031

Additive models with trend filtering

Authors: Veeranjaneyulu Sadhanala Ryan J. Tibshirani

Journal: Annals of statistics

Citation: Veeranjaneyulu Sadhanala et Ryan J. Tibshirani, Additive models with trend filtering, Annals of statistics , 47(6), 2019, pp. 3032-3068

Sorted concave penalized regression

Authors: Long Feng Cun-Hui Zhang

Journal: Annals of statistics

Citation: Long Feng et Cun-hui Zhang, Sorted concave penalized regression, Annals of statistics , 47(6), 2019, pp. 3069-3098

Active ranking from pairwise comparisons and when parametric assumptions do not help

Authors: Reinhard Heckel Nihar B. Shah Kannan Ramchandran Martin J. Wainwright

Journal: Annals of statistics

Citation: Reinhard Heckel et al., Active ranking from pairwise comparisons and when parametric assumptions do not help, Annals of statistics , 47(6), 2019, pp. 3099-3126

Randomized incomplete U -statistics in high dimensions

Authors: Xiaohui Chen Kengo Kato

Journal: Annals of statistics

Citation: Xiaohui Chen et Kengo Kato, Randomized incomplete U -statistics in high dimensions, Annals of statistics , 47(6), 2019, pp. 3127-3156

Adaptive estimation of the rank of the coefficient matrix in high-dimensional multivariate response regression models

Authors: Xin Bing Marten H. Wegkamp

Journal: Annals of statistics

Citation: Xin Bing et Marten H. Wegkamp, Adaptive estimation of the rank of the coefficient matrix in high-dimensional multivariate response regression models, Annals of statistics , 47(6), 2019, pp. 3157-3184

Statistical inference for autoregressive models under heteroscedasticity of unknown form

Authors: Ke Zhu

Journal: Annals of statistics

Citation: Ke Zhu, Statistical inference for autoregressive models under heteroscedasticity of unknown form, Annals of statistics , 47(6), 2019, pp. 3185-3215

On partial-sum processes of ARMAX residuals

Authors: Steffen Grønneberg Benjamin Holcblat

Journal: Annals of statistics

Citation: Steffen Grønneberg et Benjamin Holcblat, On partial-sum processes of ARMAX residuals, Annals of statistics , 47(6), 2019, pp. 3216-3243

Quantile regression under memory constraint

Authors: Xi Chen Weidong Liu Yichen Zhang

Journal: Annals of statistics

Citation: Xi Chen et al., Quantile regression under memory constraint, Annals of statistics , 47(6), 2019, pp. 3244-3273

Sampling and estimation for (sparse) exchangeable graphs

Authors: Victor Veitch Daniel M. Roy

Journal: Annals of statistics

Citation: Victor Veitch et Daniel M. Roy, Sampling and estimation for (sparse) exchangeable graphs, Annals of statistics , 47(6), 2019, pp. 3274-3299

Hypothesis testing on linear structures of high-dimensional covariance matrix

Authors: Shurong Zheng Zhao Chen Hengjian Cui Runze Li

Journal: Annals of statistics

Citation: Shurong Zheng et al., Hypothesis testing on linear structures of high-dimensional covariance matrix, Annals of statistics , 47(6), 2019, pp. 3300-3334

On optimal designs for nonregular models

Authors: Yi Lin Ryan Martin Min Yang

Journal: Annals of statistics

Citation: Yi Lin et al., On optimal designs for nonregular models, Annals of statistics , 47(6), 2019, pp. 3335-3359

A smeary central limit theorem for manifolds with application to high-dimensional spheres

Authors: Benjamin Eltzner Stephan F. Huckemann

Journal: Annals of statistics

Citation: Benjamin Eltzner et Stephan F. Huckemann, A smeary central limit theorem for manifolds with application to high-dimensional spheres, Annals of statistics , 47(6), 2019, pp. 3360-3381

On testing for high-dimensional white noise

Authors: Zeng Li Clifford Lam Jianfeng Yao Qiwei Yao

Journal: Annals of statistics

Citation: Zeng Li et al., On testing for high-dimensional white noise, Annals of statistics , 47(6), 2019, pp. 3382-3412

Minimax posterior convergence rates and model selection consistency in high-dimensional DAG models based on sparse Cholesky factors

Authors: Kyoungjae Lee Jaeyong Lee Lizhen Lin

Journal: Annals of statistics

Citation: Kyoungjae Lee et al., Minimax posterior convergence rates and model selection consistency in high-dimensional DAG models based on sparse Cholesky factors, Annals of statistics , 47(6), 2019, pp. 3413-3437

Bootstrapping and sample splitting for high-dimensional, assumption-lean inference

Authors: Alessandro Rinaldo Larry Wasserman Max G.Sell

Journal: Annals of statistics

Citation: Alessandro Rinaldo et al., Bootstrapping and sample splitting for high-dimensional, assumption-lean inference, Annals of statistics , 47(6), 2019, pp. 3438-3469

Joint convergence of sample autocovariance matrices when p/n.0 with application

Authors: Monika Bhattacharjee Arup Bose

Journal: Annals of statistics

Citation: Monika Bhattacharjee et Arup Bose, Joint convergence of sample autocovariance matrices when p/n.0 with application, Annals of statistics , 47(6), 2019, pp. 3470-3503

Tracy.Widom limit for Kendall.s tau

Authors: Zhigang Bao

Journal: Annals of statistics

Citation: Zhigang Bao, Tracy.Widom limit for Kendall.s tau, Annals of statistics , 47(6), 2019, pp. 3504-3532

Intrinsic Riemannian functional data analysis

Authors: Zhenhua Lin Fang Yao

Journal: Annals of statistics

Citation: Zhenhua Lin et Fang Yao, Intrinsic Riemannian functional data analysis, Annals of statistics , 47(6), 2019, pp. 3533-3577

Detecting relevant changes in the mean of nonstationary processes.A mass excess approach

Authors: Holger Dette Weichi Wu

Journal: Annals of statistics

Citation: Holger Dette et Weichi Wu, Detecting relevant changes in the mean of nonstationary processes.A mass excess approach, Annals of statistics , 47(6), 2019, pp. 3578-3608

Results: << | 101-121