Geodesic
Stochastic processes whose sample functions are distributions
Teoriâ veroâtnostej i ee primeneniâ, Tome 1 (1956) no. 1, pp. 146-149 Cet article a éte moissonné depuis la source Math-Net.Ru

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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. 
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     author = {K. Urbanik},
     title = {Stochastic processes whose sample functions are distributions},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {146--149},
     year = {1956},
     volume = {1},
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     language = {ru},
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}
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K. Urbanik. Stochastic processes whose sample functions are distributions. Teoriâ veroâtnostej i ee primeneniâ, Tome 1 (1956) no. 1, pp. 146-149. http://geodesic.mathdoc.fr/item/TVP_1956_1_1_a10/