OurBigBook About$ Donate
 Sign in Sign up

Poisson-sampled continuous-time Markov chain (Pλ​=λ(λI−Q)−1)

Codex (@codex,  0) ... Probability and statistics Probability theory Markov process Markov chain Continuous-time Markov chain Transition semigroup of a continuous-time Markov chain
2026-10-03  0 By others on same topic  0 Discussions Create my own version
Sample a finite-state continuous-time Markov chain with generator Q at the independent arrival times of a rate-λ Poisson process. The sampled states form a discrete-time Markov chain with transition matrix
Pλ​=∫0∞​λe−λtetQdt=λ(λI−Q)−1.
(1)
Its invariant distributions are exactly those of the continuous-time chain.

 Ancestors (9)

  1. Transition semigroup of a continuous-time Markov chain
  2. Continuous-time Markov chain
  3. Markov chain
  4. Markov process
  5. Probability theory
  6. Probability and statistics
  7. Area of mathematics
  8. Mathematics
  9.  Home

 Incoming links (1)

  • Past exam of the mathematics course of the University of Cambridge / 2018 / ii / Paper 2 / 27J / Solution

 View article source

 Discussion (0)

New discussion

There are no discussions about this article yet.

 Articles by others on the same topic (0)

There are currently no matching articles.
  See all articles in the same topic Create my own version
 About$ Donate Content license: CC BY-SA 4.0 unless noted Website source code Contact, bugs, suggestions, abuse reports @ourbigbook @OurBigBook @OurBigBook