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Distributed inference for quantile regression processes
21 January 2017
S. Volgushev
Shih-Kang Chao
Guang Cheng
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Papers citing
"Distributed inference for quantile regression processes"
36 / 36 papers shown
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Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators
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Optimal pooling and distributed inference for the tail index and extreme quantiles
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Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
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19 Feb 2021
Distributed ARIMA Models for Ultra-long Time Series
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19 Jul 2020
Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis
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Jason D. Lee
He Li
Yun Yang
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05 Apr 2020
Distributed Learning with Dependent Samples
Zirui Sun
Shao-Bo Lin
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10 Feb 2020
Optimal subsampling for quantile regression in big data
Haiying Wang
Yanyuan Ma
139
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28 Jan 2020
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: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering
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Xinran Bian
Pan Liu
Donghui Yan
112
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16 Nov 2019
Least Squares Approximation for a Distributed System
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Feng Li
Hansheng Wang
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14 Aug 2019
Communication-Efficient Accurate Statistical Estimation
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Yongyi Guo
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12 Jun 2019
WONDER: Weighted one-shot distributed ridge regression in high dimensions
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Yueqi Sheng
OffRL
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22 Mar 2019
Distributed Inference for Linear Support Vector Machine
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Zhuoyi Yang
Xi Chen
Weidong Liu
98
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29 Nov 2018
Quantile Regression Under Memory Constraint
Xi Chen
Weidong Liu
Yichen Zhang
99
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18 Oct 2018
Distributed linear regression by averaging
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Yueqi Sheng
FedML
94
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30 Sep 2018
On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects
A. Galvao
J. Gu
S. Volgushev
31
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31 Jul 2018
Distributed Statistical Inference for Massive Data
Songxi Chen
Liuhua Peng
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29 May 2018
On Estimation of Conditional Modes Using Multiple Quantile Regressions
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Satoshi Hara
29
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23 Dec 2017
An asymptotic analysis of distributed nonparametric methods
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Harry Van Zanten
66
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08 Nov 2017
A note on conditional versus joint unconditional weak convergence in bootstrap consistency results
Axel Bücher
I. Kojadinovic
399
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0
04 Jun 2017
Additive Partially Linear Models for Massive Heterogeneous Data
Binhuan Wang
Yixin Fang
Heng Lian
Hua Liang
52
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13 Jan 2017
A Massive Data Framework for M-Estimators with Cubic-Rate
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Wenbin Lu
Rui Song
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Divide and Conquer in Non-standard Problems and the Super-efficiency Phenomenon
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C. Durot
B. Sen
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14 May 2016
Quantile Processes for Semi and Nonparametric Regression
Shih-Kang Chao
S. Volgushev
Guang Cheng
312
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07 Apr 2016
Computational Limits of A Distributed Algorithm For Smoothing Spline
Zuofeng Shang
Guang Cheng
248
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31 Dec 2015
A subsampled double bootstrap for massive data
Srijan Sengupta
S. Volgushev
Xiaofeng Shao
255
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05 Aug 2015
A Partially Linear Framework for Massive Heterogeneous Data
Tianqi Zhao
Guang Cheng
Han Liu
309
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0
30 Oct 2014
Cluster-Robust Bootstrap Inference in Quantile Regression Models
Andreas Hagemann
273
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26 Jul 2014
Quantile spectral processes: Asymptotic analysis and inference
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Holger Dette
Marc Hallin
294
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On statistics, computation and scalability
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302
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Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Yuchen Zhang
John C. Duchi
Martin J. Wainwright
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Smoothed quantile regression processes for binary response models
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MQ
278
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A Scalable Bootstrap for Massive Data
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Ameet Talwalkar
Purnamrita Sarkar
Michael I. Jordan
328
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Quantile and Probability Curves Without Crossing
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Iván Fernández-Val
Alfred Galichon
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27 Apr 2007
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