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- W3128789216 abstract "Computing the stationary distributions of a continuous-time Markov chain (CTMC) involves solving a set of linear equations. In most cases of interest, the number of equations is infinite or too large, and the equations cannot be solved analytically or numerically. Several approximation schemes overcome this issue by truncating the state space to a manageable size. In this review, we first give a comprehensive theoretical account of the stationary distributions and their relation to the long-term behaviour of CTMCs that is readily accessible to non-experts and free of irreducibility assumptions made in standard texts. We then review truncation-based approximation schemes for CTMCs with infinite state spaces paying particular attention to the schemes' convergence and the errors they introduce, and we illustrate their performance with an example of a stochastic reaction network of relevance in biology and chemistry. We conclude by elaborating on computational trade-offs associated with error control and several open questions." @default.
- W3128789216 created "2021-02-15" @default.
- W3128789216 creator A5058010593 @default.
- W3128789216 creator A5064292789 @default.
- W3128789216 creator A5071945495 @default.
- W3128789216 creator A5086007559 @default.
- W3128789216 date "2021-01-01" @default.
- W3128789216 modified "2023-10-14" @default.
- W3128789216 title "Stationary Distributions of Continuous-Time Markov Chains: A Review of Theory and Truncation-Based Approximations" @default.
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