Statistics – Methodology
Scientific paper
2010-04-21
Statistics
Methodology
16 pages
Scientific paper
We propose a novel estimator of the autocorrelation function in presence of missing observations. We establish the consistency, the asymptotic normality, and we derive deviation bounds for various classes of weakly dependent stationary time series, including causal or non causal models. In addition, we introduce a modified version periodogram defined from these autocorrelation estimators and derive asymptotic distribution of linear functionals of this estimator.
Bahamonde Natalia
Doukhan Paul
Moulines Eric
No associations
LandOfFree
Estimation of the autocovariance function with missing observations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Estimation of the autocovariance function with missing observations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Estimation of the autocovariance function with missing observations will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-327286