The stochastic logistic equation : stationary solutions and their stability
The Stopping Distributions of a Markov Process.
The strong law of large numbers for dependent vector processes with decreasing correlation: “Double averaging concept”.
The strong law of large numbers for -statistics with dependent data.
The strong law of large numbers for o-convergent random variables
The Strong Liouville Property for a Class of Random Walks.
The structure distribution in a mixed Poisson process.
The structure of limit measures and their supports on topological semigroups.
The Study of two Evolutionary random Nonlinear Problems
The sum of digits of
The superposition of two independent Markov renewal processes
The support of when the supports of and are given
The supremum of brownian local times on Hölder curves
The survival probability for critical spread-out oriented percolation above dimensions. II. Expansion
The symmetric property () for the Gaussian measure
We give a proof, based on the Poincaré inequality, of the symmetric property () for the Gaussian measure. If is continuous, bounded from below and even, we define and we haveThis property is equivalent to a certain functional form of the Blaschke-Santaló inequality, as explained in a paper by Artstein, Klartag and Milman.
The tail structure of nonhomogeneous finite state Markov chains: survey
The tail -fields of recurrent Markov processes
The theory of networks of single server queues and the tandem queue model.
The "Thirty-seven Percent Rule" and the secretary problem with relative ranks
We revisit the problem of selecting an item from n choices that appear before us in random sequential order so as to minimize the expected rank of the item selected. In particular, we examine the stopping rule where we reject the first k items and then select the first subsequent item that ranks lower than the l-th lowest-ranked item among the first k. We prove that the optimal rule has k ~ n/e, as in the classical secretary problem where our sole objective is to select the item of lowest rank;...
The time constant and critical probabilities in percolation models.