Random walks conditioned to stay positive
Tarasov A (2024)
Bielefeld: Universität Bielefeld.
Bielefelder E-Dissertation | Englisch
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We consider a one-dimensional random walk Sn with i.i.d. increments, zero mean and finite variance. Consider tx := inf{n ≥ 1 : x + Sn ≤ 0} — the first passage times. For x ≥ 0 we study the asymptotic expansion for the tail distribution P(tx > n) under the condition that one-step distribution has finite high moments. We also derive asymptotic expansion for local probabilities P(Sn = x, t0 > n). The cases of lower deviations (x=o(√n)) and of normal deviations (x ∼ √n) considered separately, they require different approaches and lead to different answers, moreover the proof for x ∼ √n is based on asymptotic expansions for smaller x. Studying the asymptotic expansions in lower deviation case we obtain a sequence of discrete polyharmonic functions and obtain analogues of renewal theorem for them.
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2024
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120
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https://pub.uni-bielefeld.de/record/2999371
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Tarasov A. Random walks conditioned to stay positive. Bielefeld: Universität Bielefeld; 2024.
Tarasov, A. (2024). Random walks conditioned to stay positive. Bielefeld: Universität Bielefeld. https://doi.org/10.4119/unibi/2999371
Tarasov, Aleksandr. 2024. Random walks conditioned to stay positive. Bielefeld: Universität Bielefeld.
Tarasov, A. (2024). Random walks conditioned to stay positive. Bielefeld: Universität Bielefeld.
Tarasov, A., 2024. Random walks conditioned to stay positive, Bielefeld: Universität Bielefeld.
A. Tarasov, Random walks conditioned to stay positive, Bielefeld: Universität Bielefeld, 2024.
Tarasov, A.: Random walks conditioned to stay positive. Universität Bielefeld, Bielefeld (2024).
Tarasov, Aleksandr. Random walks conditioned to stay positive. Bielefeld: Universität Bielefeld, 2024.
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