Strassen Laws of Iterated Logarithm for Partially Observed Processes

M. A. Lifshits, M. Weber

Research output

5 Citations (Scopus)


Let a Wiener process W be observed on some nonbounded set T ⊂ R + . We show that after reasonable time- and space-rescaling the correspondent interpolated sample paths converge with probability one (in the usual sense of functional laws) to some limit set in C[0, 1]. The complete description of the limit set for arbitrary T is given. Unlike the various known functional laws, this limit set is not necessarily convex. We also supply an invariance principle which permits us to obtain the same results for partially observed processes generated by the sums of i.i.d. random variables.

Original languageEnglish
Pages (from-to)101-115
Number of pages15
JournalJournal of Theoretical Probability
Issue number1
Publication statusPublished - 1 Jan 1997

Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

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