Chung-type laws of the iterated logarithm for $m$-fold weighted integrated fractional processes
Li-Xin Zhang

TL;DR
This paper establishes Chung-type laws of the iterated logarithm for m-fold weighted integrated fractional processes, providing exact liminf behaviors and small ball probabilities, with applications to the play-the-winner rule.
Contribution
It derives exact Chung-type laws of the iterated logarithm for complex fractional processes, extending previous results and including applications to stochastic decision rules.
Findings
Established exact liminf behaviors for weighted integrated fractional processes.
Derived small ball probabilities for these processes.
Applied results to the randomized play-the-winner rule.
Abstract
Let be a fractional Brownian motion of order , and be the -fold weighted integrals of defined as where , , . We show that \begin{align*} \liminf_{T\to \infty} \frac{(\log\log T)^{H+m}}{T^{H+m-\alpha}}\sup_{0\le t\le T}\left|\frac{ J_{m,\bm\alpha}(B_H)(t)}{t^{\alpha-\alpha_1-\cdots-\alpha_m}}\right| = a_H\left( \frac{\kappa_{H+m}}{1-\alpha/(H+m)}\right)^{H+m}\;\; a.s. \end{align*} for all , and \begin{align*} \liminf_{T\to \infty} & \sqrt{\frac{\log\log\log T}{\log T}} \sup_{1\le t\le T}\left|\int_1^t \frac{J_{m-1,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
