A note on strong convergence of sums of dependent random variables.
A note on strong laws of large numbers for dependent random sets and fuzzy random sets.
A Note on the Almost Sure Approximation of Weakly Dependent Random Variables.
A note on the almost sure limiting behavior of the maximun of a sequence of partial sums.
The goal of this paper is to show that, in most strong laws of large numbers, the nth partial sum can be replaced with the largest of the first n sums. Moreover it is shown that the usual assumptions of independence and common distribution are unnecessary and that these results apply also to strong laws for Banach valued random elements.
A note on the rate of complete convergence for maximums of partial sums for moving average processes in Rademacher type Banach spaces.
A note on the strong consistency of least squares estimates
The strong consistency of least squares estimates in multiples regression models with i.i.d. errors is obtained under assumptions on the design matrix and moment restrictions on the errors.
A note on the strong law of large numbers for associated sequences.
A probalistic solution of the Neumann problem.
A propos du théorème de Cassels-Schmidt concernant de nombres normaux
A Renewal Approach to the Perron-Frobenius Theory of Non-negative Kernels on General State Spaces.
A strong invariance principle for negatively associated random fields
In this paper we obtain a strong invariance principle for negatively associated random fields, under the assumptions that the field has a finite th moment and the covariance coefficient exponentially decreases to . The main tools are the Berkes-Morrow multi-parameter blocking technique and the Csörgő-Révész quantile transform method.
A strong law of large numbers for harmonizable isotropic random fields.
A strong law of large numbers for identically distributed vector lattice-valued random variables
A strong limit theorem for functions of continuous random variables and an extension of the Shannon-McMillan theorem.
A Subsequence Principle in Probability Theory. II. The Law of the Iterated Logarithm.
A super-stable motion with infinite mean branching
A survey of limit laws for bootstrapped sums.
A Uniform Law of the Iterated Logarithm for Brownian Motion on Compact Riemannian Manifolds.
A version of the law of large numbers
By the method of Rio [10], for a locally square integrable periodic function f, we prove for almost every x and t > 0.
About increments of additive functionals of diffusion processes.