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Estimation of inverse autocovariance matrices for long memory processes

Estimation of inverse autocovariance matrices for long memory processes

17 March 2016
C. Ing
Hai-Tang Chiou
M. Guo
ArXiv (abs)PDFHTML

Papers citing "Estimation of inverse autocovariance matrices for long memory processes"

4 / 4 papers shown
Title
Local approximations of inverse block Toeplitz matrices and Baxter-type
  theorems for long-memory processes
Local approximations of inverse block Toeplitz matrices and Baxter-type theorems for long-memory processes
A. Inoue
Junho Yang
36
0
0
02 Apr 2023
Asymptotic normality of the time-domain generalized least squares
  estimator for linear regression models
Asymptotic normality of the time-domain generalized least squares estimator for linear regression models
Hien Nguyen
20
0
0
09 Feb 2019
Baxter's inequality for finite predictor coefficients of multivariate
  long-memory stationary processes
Baxter's inequality for finite predictor coefficients of multivariate long-memory stationary processes
A. Inoue
Yukio Kasahara
Mohsen Pourahmadi
90
15
0
10 Jul 2015
Toward optimal model averaging in regression models with time series
  errors
Toward optimal model averaging in regression models with time series errors
T. Cheng
C. Ing
Shu-Hui Yu
MoMe
69
46
0
22 Mar 2015
1