High-Dimensional Consistencies of KOO Methods for the Selection of Variables in Multivariate Linear Regression Models with Covariance Structures
In this paper, we consider the high-dimensional consistencies of KOO methods for selecting response variables in multivariate linear regression with covariance structures. Here, the covariance structures are considered as (1) independent covariance structure with the same variance, (2) independent c...
Main Authors: | Yasunori Fujikoshi, Tetsuro Sakurai |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/3/671 |
Similar Items
-
Raka - die roman (Koos Kombuis)
by: Neil Cochrane
Published: (2019-09-01) -
Redaksioneel tot die Koos Vorster Huldigingsbundel
by: Fika Janse van Rensburg
Published: (2012-11-01) -
Simultaneous variable selection and estimation for longitudinal ordinal data with a diverging number of covariates
by: Xianbin Chen, et al.
Published: (2022-02-01) -
Going on safari: the tales of two Koos Prinsloos
by: Elsie Cloete
Published: (2017-03-01) -
Asymptotic Form of the Covariance Matrix of Likelihood-Based Estimator in Multidimensional Linear System Model for the Case of Infinity Number of Nuisance Parameters
by: Alexander Varypaev
Published: (2024-02-01)