Change-in-mean problem for long memory time series models with applications
DOI10.1080/00949650701216604zbMath1145.62371OpenAlexW2028607548MaRDI QIDQ135938
Publication date: July 2008
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949650701216604
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Non-Markovian processes: hypothesis testing (62M07) Asymptotic properties of parametric tests (62F05)
Related Items (10)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The effect of long-range dependence on change-point estimators
- Noncentral limit theorems and Appell polynomials
- Change-of-variance problem for linear processes with long memory
- Semiparametric analysis of long-memory time series
- Limit theorems for functionals of moving averages
- Strong approximation for long memory processes with applications
- Log-periodogram regression of time series with long range dependence
- Gaussian semiparametric estimation of long range dependence
- Averaged periodogram estimation of long memory
- Fractional differencing
- AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
- Linear Trend with Fractionally Integrated Errors
- Long-Term Memory in Stock Market Prices
- Moment Inequalities for the Maximum Cumulative Sum
- Testing and estimating for change in long memory parameter
This page was built for publication: Change-in-mean problem for long memory time series models with applications