First Passage Time of a Markov Chain That Converges to Bessel Process
We investigate the probability of the first hitting time of some discrete Markov chain that converges weakly to the Bessel process. Both the probability that the chain will hit a given boundary before the other and the average number of transitions are computed explicitly. Furthermore, we show that...
Saved in:
Main Author: | Moussa Kounta |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2017/7189826 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting Constraints
by: Moussa Kounta
Published: (2016-01-01) -
The First Passage Time Problem for Mixed-Exponential Jump Processes with Applications in Insurance and Finance
by: Chuancun Yin, et al.
Published: (2014-01-01) -
Remarks on the $L^p$ convergence of Bessel–Fourier series on the disc
by: Acosta Babb, Ryan Luis
Published: (2023-10-01) -
Asymptotic Optimality and Rates of Convergence of Quantized Stationary Policies in Continuous-Time Markov Decision Processes
by: Xiao Wu, et al.
Published: (2022-01-01) -
A uniform estimate for the rate of convergence in the multidimensional central limit theorem for homogeneous Markov chains
by: M. Gharib
Published: (1996-01-01)