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Distributed inference for quantile regression processes

Distributed inference for quantile regression processes

21 January 2017
S. Volgushev
Shih-Kang Chao
Guang Cheng
ArXivPDFHTML

Papers citing "Distributed inference for quantile regression processes"

14 / 14 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
19
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
16
42
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
26
2
0
22 Oct 2022
Approximating Partial Likelihood Estimators via Optimal Subsampling
Approximating Partial Likelihood Estimators via Optimal Subsampling
Haixiang Zhang
Lulu Zuo
Haiying Wang
Liuquan Sun
35
13
0
10 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
34
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
35
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
37
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
14
50
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
28
6
0
05 Apr 2020
Communication-Efficient Accurate Statistical Estimation
Communication-Efficient Accurate Statistical Estimation
Jianqing Fan
Yongyi Guo
Kaizheng Wang
19
110
0
12 Jun 2019
Distributed Inference for Linear Support Vector Machine
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang
Zhuoyi Yang
Xi Chen
Weidong Liu
19
64
0
29 Nov 2018
First-order Newton-type Estimator for Distributed Estimation and
  Inference
First-order Newton-type Estimator for Distributed Estimation and Inference
Xi Chen
Weidong Liu
Yichen Zhang
34
48
0
28 Nov 2018
Quantile Regression Under Memory Constraint
Quantile Regression Under Memory Constraint
Xi Chen
Weidong Liu
Yichen Zhang
11
116
0
18 Oct 2018
Additive Partially Linear Models for Massive Heterogeneous Data
Additive Partially Linear Models for Massive Heterogeneous Data
Binhuan Wang
Yixin Fang
Heng Lian
Hua Liang
26
5
0
13 Jan 2017
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