In the present paper we obtain a new correlation inequality and use it for the purpose of extending the theory of the Almost Sure Local Limit Theorem to the case of lattice random sequences in the domain of attraction of a stable law. In particular, we prove ASLLT in the case of the normal...

Lower and upper bounds in Dobrushin’s inequality for the variance of sums of functionals defined on a non-homogeneous Markov chain together with some related probability results are analyzed.

Residues of partial sums in a class of dependent random variables, including functionals of uniformly recurrent Markov chains, are in the domain of attraction of the uniform distribution. These types of limit theorems arise for example in the multiplication of floating-point numbers.

The explicit formula for the moments of recurrence times for positive recurrent renewal sequences is established.

An operator form of asymptotic expansions for Markov chains is established. Coefficients are given explicitly. Such expansions require a certain modification of the classical spectral method. They prove to be extremely useful within the context of large deviations.

For a nonnegative strictly stationary random sequence satisfying the "minimal" dependence condition necessary and sufficient conditions for the relative stability are found. As an application the well-known Khinchine stability result for i.i.d. random variables is proved for uniformly strong...

A connection between boundedness in probability and laws of large numbers is established for [phi]-mixing strictly stationary sequences.