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  1. Methodology and Computing in Applied Probability
  2. Methodology and Computing in Applied Probability : Volume 16
  3. Methodology and Computing in Applied Probability : Volume 16, Issue 3, September 2014
  4. Approximation of Fractional Brownian Motion by Martingales
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Methodology and Computing in Applied Probability : Volume 19
Methodology and Computing in Applied Probability : Volume 18
Methodology and Computing in Applied Probability : Volume 17
Methodology and Computing in Applied Probability : Volume 16
Methodology and Computing in Applied Probability : Volume 16, Issue 4, December 2014
Methodology and Computing in Applied Probability : Volume 16, Issue 3, September 2014
Max-Plus Objects to Study the Complexity of Graphs
The Degree Profile in Some Classes of Random Graphs that Generalize Recursive Trees
Approximation of Fractional Brownian Motion by Martingales
Value at Ruin and Tail Value at Ruin of the Compound Poisson Process with Diffusion and Efficient Computational Methods
An Insurance Risk Model with Parisian Implementation Delays
Strategic Asset Allocation Under a Fractional Hidden Markov Model
Testing Serial Independence via Density-Based Measures of Divergence
Bilateral Counterparty Risk Valuation on a CDS with a Common Shock Model
Stochastic Properties of Components in a Used Coherent System
Expansions about the Gamma for the Distribution and Quantiles of a Standard Estimate
The Supremum of Chi-Square Processes
A Response-Driven Adaptive Design Based on the Klein Urn
Bayesian Nonparametric Inference for a Multivariate Copula Function
Interval Reliability, Corrections and Developments of “Reliability Measures of Semi-Markov Systems with General State Space”
A Correction Note on: When the “Bull” Meets the “Bear”—A First Passage Time Problem for a Hidden Markov Process
Methodology and Computing in Applied Probability : Volume 16, Issue 2, June 2014
Methodology and Computing in Applied Probability : Volume 16, Issue 1, March 2014
Methodology and Computing in Applied Probability : Volume 15
Methodology and Computing in Applied Probability : Volume 14
Methodology and Computing in Applied Probability : Volume 13
Methodology and Computing in Applied Probability : Volume 12
Methodology and Computing in Applied Probability : Volume 11
Methodology and Computing in Applied Probability : Volume 10
Methodology and Computing in Applied Probability : Volume 9
Methodology and Computing in Applied Probability : Volume 8
Methodology and Computing in Applied Probability : Volume 7
Methodology and Computing in Applied Probability : Volume 6
Methodology and Computing in Applied Probability : Volume 5
Methodology and Computing in Applied Probability : Volume 4
Methodology and Computing in Applied Probability : Volume 3
Methodology and Computing in Applied Probability : Volume 2
Methodology and Computing in Applied Probability : Volume 1

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Approximation of Fractional Brownian Motion by Martingales

Content Provider Springer Nature Link
Author Shevchenko, Georgiy Shklyar, Sergiy Mishura, Yuliya Doroshenko, Vadym Banna, Oksana
Copyright Year 2012
Abstract We study the problem of optimal approximation of a fractional Brownian motion by martingales. We prove that there exists a unique martingale closest to fractional Brownian motion in a specific sense. It shown that this martingale has a specific form. Numerical results concerning the approximation problem are given.
Ending Page 560
Page Count 22
Starting Page 539
File Format PDF
ISSN 13875841
e-ISSN 15737713
Journal Methodology and Computing in Applied Probability
Issue Number 3
Volume Number 16
Language English
Publisher Springer US
Publisher Date 2012-11-29
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Life Sciences Approximation Fractional processes, including fractional Brownian motion Economics general Business/Management Science Martingale Convex functional Martingales with continuous parameter Fractional Brownian motion Convex programming Statistics Electrical Engineering
Content Type Text
Resource Type Article
Subject Statistics and Probability
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