The Markov process is considered to have Markovian property if conditional probability of any future event is independent of the past and depends only upon the present state; for any matrix to be considered a Markov Matrix or Transition Matrix the following two properties should be valid (Janssen, Manca 2006).
What does MP stand for?
MP stands for Markov Process
This definition appears very frequently and is found in the following Acronym Finder categories:
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See other definitions of MP
We have 204 other meanings of MP in our Acronym Attic
- Manufacturing Procedure
- Manufacturing-Use Product (EPA)
- Marapets (online game)
- Marcy Playground (band)
- marginal profit
- Mario Paint (video game)
- Mario Party (game)
- Mario Party (video game)
- Maritime Patrol
- Market Place
Samples in periodicals archive:
Considering in turn discrete-time modeling, continuous-time modeling, and spatial modeling, they cover stochastic recursive sequences, Markov chains, stationary queues, the M/GI/1 queue, the Poisson process, the Markov process, systems with delay, loss systems, and spatial point processes.
The stochastic model adopted here is Markov process describing the probabilities of states by set of coupled Kolmogorov-Chapman differential equations (Meixner & Kolnikova, 1984; Lisnianski & Levitin, 2003).
Aside from separation of time scales, there are other generic situations when a Markov process is expected to be lumpable.
and the working time and the repair time of each component in the system are both exponentially distributed, then apply the Markov process to derive some reliability indices.
From this perspective, a stationary Markov process does not seem to be the ideal approach to represent the sort of model uncertainty that is relevant for monetary policymaking.
k[member of]N]] by a finite state space Markov process [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].