Results 121 to 130 of about 31,071 (152)
Some of the next articles are maybe not open access.
2002
WE TURN now to the continuous time version of the Markov property. Some of the simplicity of Chapter 2 is retained, because we assume the state space S is discrete. Usually we can suppose that S = {0, 1, … }. The succession of states visited still follows a discrete parameter Markov chain but now the flow of time is perturbed by exponentially ...
openaire +1 more source
WE TURN now to the continuous time version of the Markov property. Some of the simplicity of Chapter 2 is retained, because we assume the state space S is discrete. Usually we can suppose that S = {0, 1, … }. The succession of states visited still follows a discrete parameter Markov chain but now the flow of time is perturbed by exponentially ...
openaire +1 more source
2019
The first part of this chapter presented the definition of a continuous-time Markov chain with two properties, and the introduction of a B&D process with some special examples such as homogeneous Poisson process as a pure birth process, and the population model as a B&D process.
openaire +1 more source
The first part of this chapter presented the definition of a continuous-time Markov chain with two properties, and the introduction of a B&D process with some special examples such as homogeneous Poisson process as a pure birth process, and the population model as a B&D process.
openaire +1 more source