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Inverse Moment Methods for Sufficient Forecasting using High-Dimensional
  Predictors
v1v2 (latest)

Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors

1 May 2017
Wei Luo
Lingzhou Xue
Jiawei Yao
Xiufan Yu
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors"

12 / 12 papers shown
Title
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
Guanhao Zhou
Yuefeng Han
Xiufan Yu
CML
145
0
0
26 May 2025
Mining the Factor Zoo: Estimation of Latent Factor Models with
  Sufficient Proxies
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies
Runzhe Wan
Yingying Li
Wenbin Lu
Rui Song
56
4
0
25 Dec 2022
Nonlinear Sufficient Dimension Reduction for
  Distribution-on-Distribution Regression
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression
Q. Zhang
Bing Li
Lingzhou Xue
82
12
0
11 Jul 2022
Dimension Reduction for Fréchet Regression
Dimension Reduction for Fréchet Regression
Q. Zhang
Lingzhou Xue
Bing Li
69
15
0
01 Oct 2021
Sufficient Forecasting Using Factor Models
Sufficient Forecasting Using Factor Models
Jianqing Fan
Lingzhou Xue
Jiawei Yao
AI4TS
75
79
0
27 May 2015
An adaptive composite quantile approach to dimension reduction
An adaptive composite quantile approach to dimension reduction
Efang Kong
Yingcun Xia
59
35
0
14 Aug 2014
On efficient dimension reduction with respect to a statistical
  functional of interest
On efficient dimension reduction with respect to a statistical functional of interest
Wei Luo
Bing Li
Xiangrong Yin
61
33
0
21 Mar 2014
Efficient estimation in sufficient dimension reduction
Efficient estimation in sufficient dimension reduction
Yanyuan Ma
Liping Zhu
78
102
0
02 Apr 2013
Factor modeling for high-dimensional time series: Inference for the
  number of factors
Factor modeling for high-dimensional time series: Inference for the number of factors
Clifford Lam
Q. Yao
192
486
0
04 Jun 2012
Large Covariance Estimation by Thresholding Principal Orthogonal
  Complements
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Jianqing Fan
Yuan Liao
Martina Mincheva
175
857
0
30 Dec 2011
Dimension reduction for nonelliptically distributed predictors
Dimension reduction for nonelliptically distributed predictors
Bing Li
Yuexiao Dong
107
114
0
24 Apr 2009
On surrogate dimension reduction for measurement error regression: An
  invariance law
On surrogate dimension reduction for measurement error regression: An invariance law
Bing Li
Xiangrong Yin
110
20
0
06 Dec 2007
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