The Annals of Applied Probability

Uniform Markov renewal theory and ruin probabilities in Markov random walks

Cheng-Der Fuh

Abstract

Let {Xn,n0} be a Markov chain on a general state space ${\mathcal{X}}$ with transition probability P and stationary probability π. Suppose an additive component Sn takes values in the real line R and is adjoined to the chain such that {(Xn,Sn),n0} is a Markov random walk. In this paper, we prove a uniform Markov renewal theorem with an estimate on the rate of convergence. This result is applied to boundary crossing problems for {(Xn,Sn),n0}. To be more precise, for given b0, define the stopping time τ=τ(b)=inf {n:Sn>b}. When a drift μ of the random walk Sn is 0, we derive a one-term Edgeworth type asymptotic expansion for the first passage probabilities Pπ{τ<m} and Pπ{τ<m,Sm<c}, where m, cb and Pπ denotes the probability under the initial distribution π. When μ0, Brownian approximations for the first passage probabilities with correction terms are derived. Applications to sequential estimation and truncated tests in random coefficient models and first passage times in products of random matrices are also given.

Article information

Source
Ann. Appl. Probab., Volume 14, Number 3 (2004), 1202-1241.

Dates
First available in Project Euclid: 13 July 2004

https://projecteuclid.org/euclid.aoap/1089736283

Digital Object Identifier
doi:10.1214/105051604000000260

Mathematical Reviews number (MathSciNet)
MR2071421

Zentralblatt MATH identifier
1052.60072

Citation

Fuh, Cheng-Der. Uniform Markov renewal theory and ruin probabilities in Markov random walks. Ann. Appl. Probab. 14 (2004), no. 3, 1202--1241. doi:10.1214/105051604000000260. https://projecteuclid.org/euclid.aoap/1089736283

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