AbstractStarting from recent strong and weak approximations to the partial sums of i.i.d. random vectors (cf. U. Einmahl, Ann. Probab., 15 1419–1440), some corresponding invariance principles are developed for associated renewal processes and random sums. Optimality of the approximation is proved in the case when only two moments exist. Among other applications, a Darling-Erdös type extreme value theorem for renewal processes will be derived
Let F((.)) be a cumulative distribution function concentrated on (0,(INFIN)). Let N(t); t (GREATERT...
Let P be a probability measure , and R = [summation operator][infinity]n=0 P*n. the associated renew...
We prove an invariance principle for the random process (X n ) n1 given by where (Y n ) n1 are i.i.d...
AbstractStarting from recent strong and weak approximations to the partial sums of i.i.d. random vec...
Starting from recent strong and weak approximations to the partial sums of i.i.d. random vectors (cf...
The strong invariance principle for renewal process and randomly stopped sums when summands belong t...
AbstractWe develop a strong approximation of renewal processes. The consequences of this approximati...
101 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1982.Assume that F is a distributi...
The optimality of certain approximation rates appearing in strong invariance principles for partial ...
AbstractFor a sequence of partial sums ofd-dimensional independent identically distributed random ve...
AbstractWe develop a strong approximation of renewal processes. The consequences of this approximati...
For a sequence of partial sums ofd-dimensional independent identically distributed random vectors a ...
SIGLETIB Hannover: RN 3109(214) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Inform...
AbstractFor a sequence of partial sums ofd-dimensional independent identically distributed random ve...
AbstractA simple representation of the expectation of a renewal process mean with random time is obt...
Let F((.)) be a cumulative distribution function concentrated on (0,(INFIN)). Let N(t); t (GREATERT...
Let P be a probability measure , and R = [summation operator][infinity]n=0 P*n. the associated renew...
We prove an invariance principle for the random process (X n ) n1 given by where (Y n ) n1 are i.i.d...
AbstractStarting from recent strong and weak approximations to the partial sums of i.i.d. random vec...
Starting from recent strong and weak approximations to the partial sums of i.i.d. random vectors (cf...
The strong invariance principle for renewal process and randomly stopped sums when summands belong t...
AbstractWe develop a strong approximation of renewal processes. The consequences of this approximati...
101 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1982.Assume that F is a distributi...
The optimality of certain approximation rates appearing in strong invariance principles for partial ...
AbstractFor a sequence of partial sums ofd-dimensional independent identically distributed random ve...
AbstractWe develop a strong approximation of renewal processes. The consequences of this approximati...
For a sequence of partial sums ofd-dimensional independent identically distributed random vectors a ...
SIGLETIB Hannover: RN 3109(214) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Inform...
AbstractFor a sequence of partial sums ofd-dimensional independent identically distributed random ve...
AbstractA simple representation of the expectation of a renewal process mean with random time is obt...
Let F((.)) be a cumulative distribution function concentrated on (0,(INFIN)). Let N(t); t (GREATERT...
Let P be a probability measure , and R = [summation operator][infinity]n=0 P*n. the associated renew...
We prove an invariance principle for the random process (X n ) n1 given by where (Y n ) n1 are i.i.d...