Showing 1 - 10 of 11
We develop a methodology for studying “large deviations type” questions. Our approach does not require that the large deviations principle holds, and is thus applicable to a large class of systems. We study a system of queues with exponential servers, which share an arrival stream. Arrivals...
Persistent link: https://www.econbiz.de/10010999854
We develop a methodology for studying “large deviations type” questions. Our approach does not require that the large deviations principle holds, and is thus applicable to a large class of systems. We study a system of queues with exponential servers, which share an arrival stream. Arrivals...
Persistent link: https://www.econbiz.de/10010759445
Recursive parameter estimation in diffusion processes is considered. First, stability and asymptotic properties of the global, off-line MLE (maximum likelihood estimator) are obtained under explicit conditions. The MLE evolution equation is then derived by employing a generalized Itô...
Persistent link: https://www.econbiz.de/10008875446
Results on the convergence with probability one of stochastic approximation algorithms of the form [theta]n+1 = [theta]n - [gamma]n+1 h([theta]n) + un+1 are given, where the [theta]'s belong to some Banach space and {un} is a stochastic process. Using this extension of results of Kushner and...
Persistent link: https://www.econbiz.de/10008874398
The theory of Markov Decision Processes - also known under several other names including sequential stochastic optimization, discrete-time stochastic control, and stochastic dynamic programming - studies sequential optimization of discrete time stochastic systems. Fundamentally, this is a...
Persistent link: https://www.econbiz.de/10013519108
Persistent link: https://www.econbiz.de/10013475398
This paper applies importance sampling simulation for estimating rare event probabilities of the first passage time in the infinite server queue with renewal arrivals and general service time distributions. We consider importance sampling algorithms which are based on large deviations results of...
Persistent link: https://www.econbiz.de/10004973544
Persistent link: https://www.econbiz.de/10005312001
There are various importance sampling schemes to estimate rare event probabilities in Markovian systems such as Markovian reliability models and Jackson networks. In this work, we present a general state-dependent importance sampling method which partitions the state space and applies the...
Persistent link: https://www.econbiz.de/10008865320
Persistent link: https://www.econbiz.de/10012240237