Stochastic processes have, since a long time, large applications in quite different domains. The standard theory considers discrete or continuous state space. We consider here the concept of Stochastic Process associated to all the cases of symbolic variables: quantitative, categorical single and multiple, interval, modal. More particularly, we adapt the definition of Markov Chain and give the equivalent of the Chapman-Kolmogorov theorem in all cases.
|Title of host publication||Selected Contributions in Data Analysis and Classification|
|Editors||Paula Brito, Patrice Bertr, Guy Cucumel, Francisco de|
|Number of pages||9|
|Publication status||Published - 2007|