Weak Convergence to Stochastic Integrals Driven by α-Stable L\'evy Processes
classification
🧮 math.ST
stat.TH
keywords
convergencealpha-drivenheavy-tailedmethodprocessrandomstable
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We use the martingale convergence method to get the weak convergence theorem on general functionals of partial sums of independent heavy-tailed random variables. The limiting process is the stochastic integral driven by $\alpha-$stable L\'evy process. Our method is very powerful to obtain the limit behavior of heavy-tailed random variables.
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