Alternative forms of fractional Brownian motion
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TLDR
In this article, it is pointed out that two contradictory definitions of fractional Brownian motion are well-established, one prevailing in the probabilistic literature, the other in the econometric literature, each associated with a different definition of nonstationary fractional time series, arising in functional limit theorems based on such series.About:
This article is published in Journal of Statistical Planning and Inference.The article was published on 1999-08-01 and is currently open access. It has received 301 citations till now. The article focuses on the topics: Fractional Brownian motion & Stochastic process.read more
Citations
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Convergence of Probability Measures
TL;DR: Convergence of Probability Measures as mentioned in this paper is a well-known convergence of probability measures. But it does not consider the relationship between probability measures and the probability distribution of probabilities.
Journal ArticleDOI
Stable non-Gaussian random processes , by G. Samorodnitsky and M. S. Taqqu. Pp. 632. £49.50. 1994. ISBN 0-412-05171-0 (Chapman and Hall).
Posted Content
Exact Local Whittle Estimation of Fractional Integration
TL;DR: In this article, an exact form of the local Whittle likelihood is studied with the intent of developing a general purpose estimation procedure for the memory parameter (d) that applies throughout the stationary and nonstationary regions of d and which does not rely on tapering or differencing prefilters.
Journal ArticleDOI
Exact local Whittle estimation of fractional integration
TL;DR: In this article, an exact form of the local Whittle likelihood is studied with the intent of developing a general purpose estimation procedure for the memory parameter (d) that applies throughout the stationary and nonstationary regions of d and which does not rely on tapering or differencing prefilters.
Journal ArticleDOI
Exact local whittle estimation of fractional integration with unknown mean and time trend
TL;DR: In this article, the exact local Whittle (ELW) estimator has been extended to accommodate an unknown mean and a polynomial time trend, and the two-step ELW estimator, which is based on a modified ELW objective function using a tapered local Whew estimator in the first stage, has an asymptotic distribution for (or when the data have a poynomial trend).
References
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Handbook of Mathematical Functions
Book
Convergence of Probability Measures
TL;DR: Weak Convergence in Metric Spaces as discussed by the authors is one of the most common modes of convergence in metric spaces, and it can be seen as a form of weak convergence in metric space.
Journal ArticleDOI
Fractional Brownian Motions, Fractional Noises and Applications
Journal ArticleDOI
Convergence of Probability Measures
TL;DR: Convergence of Probability Measures as mentioned in this paper is a well-known convergence of probability measures. But it does not consider the relationship between probability measures and the probability distribution of probabilities.
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