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Covariance of increments of fractional Gaussian noise
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)Fractional Brownian motion, selfsimilarGaussian Process / fractional Brownian motionUnderstanding the White noise in $BbbR^2$How can we prove that the derivative of a generalized Hilbert space valued Brownian motion is a Gaussian white noise?What is “white noise” and how is it related to the Brownian motion?Girsanov theorem for coupled sdesIntegration of Gaussian noise processHow to empirically verify convergence results with stochastic differential equations (with fractional Brownian motions)Fractional Brownian Motion and Fractional LaplacianIntegral representation of fractional Brownian motion and covariance function
$begingroup$
Let $B^H(t)$ be a fractional Brownian motion with Hurst parameter $Hin (0,1)$. We define fractional Gaussian noise as $X(t)=B^H(t+1)-B^H(t)$. We know the fBm has covariance $R(s,t)=E(B^H(t)B^H(s))=frac12(t^2H+s^2H-|t-s|^2H)$. We can build up the covariance of increments of fBm from this and then even further we can ask about:
$$E((X(t)-X(s))(X(v)-X(u))$$
Is there any non horrible way of writing down what this covariance should be? I can write it in terms of a bunch of $R$s but nothing better.
probability probability-theory stochastic-processes stochastic-calculus
$endgroup$
add a comment |
$begingroup$
Let $B^H(t)$ be a fractional Brownian motion with Hurst parameter $Hin (0,1)$. We define fractional Gaussian noise as $X(t)=B^H(t+1)-B^H(t)$. We know the fBm has covariance $R(s,t)=E(B^H(t)B^H(s))=frac12(t^2H+s^2H-|t-s|^2H)$. We can build up the covariance of increments of fBm from this and then even further we can ask about:
$$E((X(t)-X(s))(X(v)-X(u))$$
Is there any non horrible way of writing down what this covariance should be? I can write it in terms of a bunch of $R$s but nothing better.
probability probability-theory stochastic-processes stochastic-calculus
$endgroup$
add a comment |
$begingroup$
Let $B^H(t)$ be a fractional Brownian motion with Hurst parameter $Hin (0,1)$. We define fractional Gaussian noise as $X(t)=B^H(t+1)-B^H(t)$. We know the fBm has covariance $R(s,t)=E(B^H(t)B^H(s))=frac12(t^2H+s^2H-|t-s|^2H)$. We can build up the covariance of increments of fBm from this and then even further we can ask about:
$$E((X(t)-X(s))(X(v)-X(u))$$
Is there any non horrible way of writing down what this covariance should be? I can write it in terms of a bunch of $R$s but nothing better.
probability probability-theory stochastic-processes stochastic-calculus
$endgroup$
Let $B^H(t)$ be a fractional Brownian motion with Hurst parameter $Hin (0,1)$. We define fractional Gaussian noise as $X(t)=B^H(t+1)-B^H(t)$. We know the fBm has covariance $R(s,t)=E(B^H(t)B^H(s))=frac12(t^2H+s^2H-|t-s|^2H)$. We can build up the covariance of increments of fBm from this and then even further we can ask about:
$$E((X(t)-X(s))(X(v)-X(u))$$
Is there any non horrible way of writing down what this covariance should be? I can write it in terms of a bunch of $R$s but nothing better.
probability probability-theory stochastic-processes stochastic-calculus
probability probability-theory stochastic-processes stochastic-calculus
edited Apr 2 at 18:10
user658409
asked Apr 2 at 17:27
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