Variance-type estimation of long memory
From MaRDI portal
Publication:1593608
DOI10.1016/S0304-4149(98)00062-3zbMath0955.62090MaRDI QIDQ1593608
Liudas Giraitis, Peter M. Robinson, Donatas Surgailis
Publication date: 17 January 2001
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric estimation (62G05)
Related Items
A new estimator of the self-similarity exponent through the empirical likelihood ratio test, A note on stationary bootstrap variance estimator under long-range dependence, LIMIT LAWS IN TRANSACTION-LEVEL ASSET PRICE MODELS, Properties of a block bootstrap under long-range dependence, Detection of long range dependence in the time domain for (in)finite-variance time series, Not all estimators are born equal: the empirical properties of some estimators of long memory, Computer-intensive rate estimation, diverging statistics and scanning, On optimal scale upper bound in wavelet-based estimation for hurst index of fractional Brownian motion, Long memory estimation for complex-valued time series, A wavelet lifting approach to long-memory estimation, Asymptotic behavior of mixed power variations and statistical estimation in mixed models, On optimal block resampling for Gaussian-subordinated long-range dependent processes, Semi-parametric smoothing estimators for long-memory processes with added noise
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Central limit theorems for non-linear functionals of Gaussian fields
- Rates of convergence and optimal spectral bandwidth for long range dependence
- Note on convergence rates of semiparametric estimators of dependence index
- Log-periodogram regression of time series with long range dependence
- Averaged periodogram estimation of long memory
- ESTIMATORS FOR LONG-RANGE DEPENDENCE: AN EMPIRICAL STUDY
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- CLT and other limit theorems for functionals of Gaussian processes
- Long-range Dependence: Revisiting Aggregation with Wavelets
- Convergence of integrated processes of arbitrary Hermite rank
- Non-central limit theorems for non-linear functional of Gaussian fields
- Testing for long‐range dependence in the presence of shifting means or a slowly declining trend, using a variance‐type estimator
- PERIODOGRAM ANALYSIS AND CONTINUOUS SPECTRA