Markov processes form a fundamental class of stochastic models in which the evolution of a system is delineated by the memoryless property. In such processes, the future state depends solely on the ...

Quasi-stationary distributions (QSDs) offer a compelling framework for understanding the long-term behaviour of Markov processes that possess an absorbing state. In many natural and engineered systems ...

https://doi.org/10.2307/1426942 • https://www.jstor.org/stable/1426942 Copy URL A stationary process yt,t∈ R1 is considered which is Markov between points of ...

The Annals of Statistics, Vol. 4, No. 6 (Nov., 1976), pp. 1219-1235 (17 pages) The paper deals with continuous time Markov decision processes on a fairly general state space. The rewards are ...

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

Systematic study of Markov chains and some of the simpler Markov processes including renewal theory, limit theorems for Markov chains, branching processes, queuing theory, birth and death processes, ...

Content: In this lecture we analyse the class of Markov processes in continuous time. We start with a focus on processes processes in discrete state spaces. For this we introduce point processes as a ...

CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...