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Distributed inference for quantile regression processes
v1v2v3 (latest)

Distributed inference for quantile regression processes

21 January 2017
S. Volgushev
Shih-Kang Chao
Guang Cheng
ArXiv (abs)PDFHTML

Papers citing "Distributed inference for quantile regression processes"

36 / 36 papers shown
Title
On the asymptotic properties of a bagging estimator with a massive
  dataset
On the asymptotic properties of a bagging estimator with a massive dataset
Yuan Gao
Riquan Zhang
Hansheng Wang
42
1
0
13 Apr 2023
A review of distributed statistical inference
A review of distributed statistical inference
Yuan Gao
Weidong Liu
Hansheng Wang
Xiaozhou Wang
Yibo Yan
Riquan Zhang
74
43
0
13 Apr 2023
Adaptive Data Fusion for Multi-task Non-smooth Optimization
Adaptive Data Fusion for Multi-task Non-smooth Optimization
Henry Lam
Kaizheng Wang
Yuhang Wu
Yichen Zhang
93
3
0
22 Oct 2022
Communication-efficient Distributed Newton-like Optimization with
  Gradients and M-estimators
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators
Ziyan Yin
77
0
0
13 Jul 2022
Optimal pooling and distributed inference for the tail index and extreme
  quantiles
Optimal pooling and distributed inference for the tail index and extreme quantiles
A. Daouia
S. Padoan
Gilles Stupfler
53
1
0
04 Nov 2021
Distributed Bootstrap for Simultaneous Inference Under High
  Dimensionality
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
75
10
0
19 Feb 2021
Distributed ARIMA Models for Ultra-long Time Series
Distributed ARIMA Models for Ultra-long Time Series
Xiaoqian Wang
Yanfei Kang
Rob J. Hyndman
Feng Li
AI4TS
107
53
0
19 Jul 2020
Distributed Estimation for Principal Component Analysis: an Enlarged
  Eigenspace Analysis
Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis
Xi Chen
Jason D. Lee
He Li
Yun Yang
79
6
0
05 Apr 2020
Distributed Learning with Dependent Samples
Distributed Learning with Dependent Samples
Zirui Sun
Shao-Bo Lin
41
7
0
10 Feb 2020
Optimal subsampling for quantile regression in big data
Optimal subsampling for quantile regression in big data
Haiying Wang
Yanyuan Ma
139
133
0
28 Jan 2020
$DC^2$: A Divide-and-conquer Algorithm for Large-scale Kernel Learning
  with Application to Clustering
DC2DC^2DC2: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering
Ke Alexander Wang
Xinran Bian
Pan Liu
Donghui Yan
112
4
0
16 Nov 2019
Least Squares Approximation for a Distributed System
Least Squares Approximation for a Distributed System
Xuening Zhu
Feng Li
Hansheng Wang
48
56
0
14 Aug 2019
Communication-Efficient Accurate Statistical Estimation
Communication-Efficient Accurate Statistical Estimation
Jianqing Fan
Yongyi Guo
Kaizheng Wang
56
114
0
12 Jun 2019
WONDER: Weighted one-shot distributed ridge regression in high
  dimensions
WONDER: Weighted one-shot distributed ridge regression in high dimensions
Yan Sun
Yueqi Sheng
OffRL
92
51
0
22 Mar 2019
Distributed Inference for Linear Support Vector Machine
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang
Zhuoyi Yang
Xi Chen
Weidong Liu
98
65
0
29 Nov 2018
Quantile Regression Under Memory Constraint
Quantile Regression Under Memory Constraint
Xi Chen
Weidong Liu
Yichen Zhang
99
119
0
18 Oct 2018
Distributed linear regression by averaging
Distributed linear regression by averaging
Yan Sun
Yueqi Sheng
FedML
94
66
0
30 Sep 2018
On the Unbiased Asymptotic Normality of Quantile Regression with Fixed
  Effects
On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects
A. Galvao
J. Gu
S. Volgushev
31
26
0
31 Jul 2018
Distributed Statistical Inference for Massive Data
Distributed Statistical Inference for Massive Data
Songxi Chen
Liuhua Peng
43
27
0
29 May 2018
On Estimation of Conditional Modes Using Multiple Quantile Regressions
On Estimation of Conditional Modes Using Multiple Quantile Regressions
Hirofumi Ohta
Satoshi Hara
29
0
0
23 Dec 2017
An asymptotic analysis of distributed nonparametric methods
An asymptotic analysis of distributed nonparametric methods
Botond Szabó
Harry Van Zanten
66
46
0
08 Nov 2017
A note on conditional versus joint unconditional weak convergence in
  bootstrap consistency results
A note on conditional versus joint unconditional weak convergence in bootstrap consistency results
Axel Bücher
I. Kojadinovic
399
47
0
04 Jun 2017
Additive Partially Linear Models for Massive Heterogeneous Data
Additive Partially Linear Models for Massive Heterogeneous Data
Binhuan Wang
Yixin Fang
Heng Lian
Hua Liang
52
5
0
13 Jan 2017
A Massive Data Framework for M-Estimators with Cubic-Rate
A Massive Data Framework for M-Estimators with Cubic-Rate
C. Shi
Wenbin Lu
Rui Song
262
74
0
24 May 2016
Divide and Conquer in Non-standard Problems and the Super-efficiency
  Phenomenon
Divide and Conquer in Non-standard Problems and the Super-efficiency Phenomenon
Moulinath Banerjee
C. Durot
B. Sen
289
64
0
14 May 2016
Quantile Processes for Semi and Nonparametric Regression
Quantile Processes for Semi and Nonparametric Regression
Shih-Kang Chao
S. Volgushev
Guang Cheng
312
25
0
07 Apr 2016
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
A subsampled double bootstrap for massive data
A subsampled double bootstrap for massive data
Srijan Sengupta
S. Volgushev
Xiaofeng Shao
255
48
0
05 Aug 2015
A Partially Linear Framework for Massive Heterogeneous Data
A Partially Linear Framework for Massive Heterogeneous Data
Tianqi Zhao
Guang Cheng
Han Liu
309
129
0
30 Oct 2014
Cluster-Robust Bootstrap Inference in Quantile Regression Models
Cluster-Robust Bootstrap Inference in Quantile Regression Models
Andreas Hagemann
273
72
0
26 Jul 2014
Quantile spectral processes: Asymptotic analysis and inference
Quantile spectral processes: Asymptotic analysis and inference
Tobias Kley
S. Volgushev
Holger Dette
Marc Hallin
294
59
0
31 Jan 2014
On statistics, computation and scalability
On statistics, computation and scalability
Michael I. Jordan
302
110
0
30 Sep 2013
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with
  Minimax Optimal Rates
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Yuchen Zhang
John C. Duchi
Martin J. Wainwright
350
379
0
22 May 2013
Smoothed quantile regression processes for binary response models
Smoothed quantile regression processes for binary response models
S. Volgushev
MQ
278
4
0
22 Feb 2013
A Scalable Bootstrap for Massive Data
A Scalable Bootstrap for Massive Data
Ariel Kleiner
Ameet Talwalkar
Purnamrita Sarkar
Michael I. Jordan
328
410
0
21 Dec 2011
Quantile and Probability Curves Without Crossing
Quantile and Probability Curves Without Crossing
Victor Chernozhukov
Iván Fernández-Val
Alfred Galichon
657
523
0
27 Apr 2007
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