Approximation formulas for the moments of the boundary functional of a Gaussian random walk with positive drift by using Siegmund's formula
DOI10.1080/03610918.2018.1468449OpenAlexW2889759043MaRDI QIDQ5087544
No author found.
Publication date: 1 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2018.1468449
Gaussian random walkmeta-modelingladder heightboundary functionalpositive driftDynkin principleReimann zeta-function
Sums of independent random variables; random walks (60G50) Markov renewal processes, semi-Markov processes (60K15) Limit theorems in probability theory (60F99)
Cites Work
- Unnamed Item
- Unnamed Item
- The weak convergence theorem for the distribution of the maximum of a Gaussian random walk and approximation formulas for its moments
- On the limit law of a random walk conditioned to reach a high level
- Exact expressions for the moments of ladder heights
- On some boundary crossing problems for Gaussian random walks
- Complete corrected diffusion approximations for the maximum of a random walk
- On moments of the first ladder height of random walks with small drift
- Asymptotic moments of random walks with applications to ladder variables and renewal theory
- Ladder heights, Gaussian random walks and the Riemann zeta function
- Modes of a Gaussian random walk
- On distribution tail of the maximum of a random walk
- On Lerch's transcendent and the Gaussian random walk
- Cumulants of the maximum of the Gaussian random walk
- Asymptotic expansions for the moments of a semi-Markovian random walk with exponential distributed interference of chance
- Asymptotic approach for a renewal-reward process with a general interference of chance
- Weak Convergence Theorem for Ergodic Distribution of Stochastic Processes with Discrete Interference of Chance and Generalized Reflecting Barrier
- Corrected diffusion approximations in certain random walk problems
- Asymptotics for the moments of the overshoot and undershoot of a random walk
- Asymptotic expansions on moments of the first ladder height in Markov random walks with small drift
- On the stationary characteristics of the extended model of type (s,S) with Gaussian distribution of summands
This page was built for publication: Approximation formulas for the moments of the boundary functional of a Gaussian random walk with positive drift by using Siegmund's formula