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Variance Gamma process
n<-1000 dt<-0.1 t<-0 x<-0 g<-rgamma(n, dt, rate = 1) z<-rnorm(n) for (k in 1:n) { t<-c(t[1]+dt,t); x<-c(x[1]+sqrt(g[k])*z[k],x) } plot(rev(t),rev(x),type='l')
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