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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.
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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.

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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.
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).
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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

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.