نتایج جستجو برای: hurst phenomenon

تعداد نتایج: 159457  

2014
AURELIO FERNÁNDEZ BARIVIERA

This paper investigates the effect of the 2008 financial crisis on informational efficiency by carrying out a long-memory analysis of European corporate bond markets. We compute the Hurst exponent for fifteen sectorial indices to scrutinise the time-varying behaviour of long-range memory, applying a shuffling technique to avoid short-term correlation. We find that the financial crisis has uneve...

2003
S. Tindel C. A. Tudor F. Viens

In this paper linear stochastic evolution equations driven by infinite-dimensional fractional Brownian motion are studied. A necessary and sufficient condition for the existence and uniqueness of the solution is established and the spatial regularity of the solution is analyzed; separate proofs are required for the cases of Hurst parameter above and below 1/2. The particular case of the Laplaci...

2009
ANTHONY RÉVEILLAC

We derive the asymptotic behavior of weighted quadratic variations of fractional Brownian motion B with Hurst index H = 1/4. This completes the only missing case in a very recent work by I. Nourdin, D. Nualart and C. A. Tudor. Moreover, as an application, we solve a recent conjecture of K. Burdzy and J. Swanson on the asymptotic behavior of the Riemann sums with alternating signs associated to B.

Journal: :Queueing Syst. 2002
Yurij Kozachenko Olga Vasylyk Tommi Sottinen

We consider a queue fed by Gaussian traffic and give conditions on the input process under which the path space large deviations of the queue are governed by the rate function of the fractional Brownian motion. As an example we consider input traffic that is composed of of independent streams, each of which is a fractional Brownian motion, having different Hurst indices.

2009
Khalifa Es-Sebaiy Idir Ouassou Youssef Ouknine

We consider the problem of efficient estimation for the drift of fractional Brownian motion B := ( B t ) t∈[0,T ] with hurst parameter H less than 1 2 . We also construct superefficient James-Stein type estimators which dominate, under the usual quadratic risk, the natural maximum likelihood estimator.

2016
Meera Roy Ashok Roy

Dr John Hurst’s approach to the treatment of people with intellectual disabilities was ahead of its time. In the early 1970s, John, who has died aged 79, developed the pre-discharge unit at South Ockenden Hospital, Essex, as a therapeutic community, as well as a number of community group homes. He also introduced one of the earliest community nursing services in intellectual disability there be...

2007
David Nualart

Let B and e B be two independent, d-dimensional fractional Brownian motions with Hurst parameter H ∈ (0, 1) . Assume d ≥ 2. We prove that the intersection local time of B and e B I(BH , e BH) = Z

Journal: :J. Applied Probability 2012
Barlas Oguz Venkat Anantharam

A positive recurrent, aperiodic Markov chain is said to be long range dependent (LRD) when the indicator function of a particular state is LRD. This happens if and only if the return time distribution for that state has infinite variance. We investigate the question of whether other instantaneous functions of the Markov chain also inherit this property. We provide conditions under which the fun...

Journal: :Medical History 1971
I. M. Librach

Selected Writings of Sir Arthur Hurst (1879-1944), ed. by THOMAS HUNT, London, British Society of Gastroenterology, 1970, pp. xiv, 218, illus., £2X00 (E1X50 to members of the Society). Hurst was probably the most original thinker of his contemporary physicians. Indomitable in the face of deafness and chronic asthma he was an iconoclast, destroying long-held beliefs based on flimsy foundations. ...

Journal: :Computational Statistics & Data Analysis 2006
Stilian Stoev Murad S. Taqqu Cheolwoo Park George Michailidis J. S. Marron

The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic self-similarity) in stationary time series. Many methods have been developed for the estimation of H from data. In practice, however, the classical estimation techniques can be severely affected by non-stationary artifacts in the time series. In fact, the assumption that the data can be modeled by a stationa...

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