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Multivalued random variables and stochastic processes can be use in integral
geometry, mathematical economics or stochastic optimization. Using the methods of selection
operators we can give the selection characterization of identically distributed multivalued random
variables. In this paper the regular selections and Markov selections for multivalued stochastic
processes will be studied.
Multivalued random variables and stochastic processes can be use in integral
geometry, mathematical economics or stochastic optimization. In the study of multivalued
stochastic processes the some clue problem is the question of existing the vector-valued selection
processes. Using the methods of selection operators it is possible to show the existence of
convergence in distribution selections...
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