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JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 1956 Volume 1, Issue 1, Pages 146–149 (Mi tvp4992)

This article is cited in 3 papers

Short Communications

Stochastic processes whose sample functions are distributions

K. Urbanik

Wroclaw

Abstract: A way of constructing generalized random processes is given which is analogous to Mikusinski's method for defining distributions. The subject of this note is generalized stochastic processes with independent values or independent increments and stationary processes.

Received: 10.02.1956


 English version:
Theory of Probability and its Applications, 1956, 1:1, 132–134


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