mlrv-package: mlrv: Long-Run Variance Estimation in Time Series Regression

In mlrv: Long-Run Variance Estimation in Time Series Regression

mlrv: Long-Run Variance Estimation in Time Series Regression

Description

Plug-in and difference-based long-run covariance matrix estimation for time series regression. Two applications of hypothesis testing are also provided. The first one is for testing for structural stability in coefficient functions. The second one is aimed at detecting long memory in time series regression. Lujia Bai and Weichi Wu (2024)\Sexpr[results=rd]{tools:::Rd_expr_doi("10.3150/23-BEJ1680")} Zhou Zhou and Wei Biao Wu(2010)\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.1467-9868.2010.00743.x")} Jianqing Fan and Wenyang Zhang\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/aos/1017939139")} Lujia Bai and Weichi Wu(2024)\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/biomet/asae013")} Dimitris N. Politis, Joseph P. Romano, Michael Wolf(1999)\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-1-4612-1554-7")} Weichi Wu and Zhou Zhou(2018)\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/17-AOS1582")}.

Author(s)

Maintainer: Lujia Bai [e-mail]

Other contributors:

• Weichi Wu [e-mail] [contributor]

mlrv documentation built on Sept. 11, 2024, 6:57 p.m.