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Can I read Matrix Analysis for Continuous-Time Markov Chains on EtoBox?

Matrix Analysis for Continuous-Time Markov Chains by Hung V. Le; M. J. Tsatsomeros is a Mathematics article available to read on EtoBox.

What is Matrix Analysis for Continuous-Time Markov Chains about?

Abstract Continuous-time Markov chains have transition matrices that vary continuously in time. Classical theory of nonnegative matrices, M-matrices and matrix exponentials is used in the literature to study their dynamics, probability distributions and other stochastic properties. For the benefit of Perron-Frobenius cognoscentes, this theory is surveyed and further adapted to study continuous-time Markov chains on finite state spaces.

Who reads Matrix Analysis for Continuous-Time Markov Chains?

It is typically read by researchers, students, and practitioners in Mathematics.

Author
Hung V. Le; M. J. Tsatsomeros
Publisher
Walter de Gruyter GmbH
Published
2021
Language
EN
Field
Mathematics (Physical Sciences)

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