Covariate-Adjusted Regression for Time Series
DOI10.1080/03610926.2011.609319zbMath1244.62125OpenAlexW2151564172MaRDI QIDQ2903832
Publication date: 2 August 2012
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2011.609319
asymptotic normalitytime series\(\alpha\)-mixinggoodness-of-fit testfunctional-coefficient regression model
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Parametric hypothesis testing (62F03)
Cites Work
- Trending time-varying coefficient time series models with serially correlated errors
- Estimation in covariate-adjusted regression
- Asymptotic properties of covariate-adjusted regression with correlated errors
- Dependent central limit theorems and invariance principles
- Inference for covariate adjusted regression via varying coefficient models
- COVARIATE-ADJUSTED REGRESSION FOR LONGITUDINAL DATA INCORPORATING CORRELATION BETWEEN REPEATED MEASUREMENTS
- Covariate-adjusted varying coefficient models
- Covariate-adjusted linear mixed effects model with an application to longitudinal data
- Covariate-adjusted regression
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