International audienceIn this paper, we estimate the rest of the approximation of a stationary process by a martingale in terms of the projections of partial sums. Then, based on this estimate, we obtain almost sure approximation of partial sums by a martingale with stationary differences. The results are exploited to further investigate the central limit theorem and its invariance principle started at a point, the almost sure central limit theorem, as well as the law of the iterated logarithm via almost sure approximation with a Brownian motion, improving the results available in the literature. The conditions are well suited for a variety of examples; they are easy to verify, for instance, for linear processes and functions of Bernoulli s...
We investigate the almost sure asymptotic properties of vector martingale transforms. Assuming some ...
AbstractConditions under which the partial sums of an array of weakly dependent random variables (Xn...
An almost sure invariance principle for stationary mixing sequences of random variables with mean ze...
In this paper, we obtain sufficient conditions in terms of projective criteria under which the parti...
AbstractThe proofs of various central limit theorems for strictly stationary sequences of random var...
Many of the proofs of various central limit theorems and laws of the iterated logarithm for strictly...
We prove the almost sure central limit theorem for martingales via an original approach which uses t...
AbstractMany of the proofs of various central limit theorems and laws of the iterated logarithm for ...
In this paper, we study a general central limit theorem and a general law of the iterated logarithm ...
We prove the almost sure central limit theorem for martingales via an original approach which uses t...
We prove the almost sure invariance principle for martingales with stationary ergodic differences ta...
We prove the compact law of the iterated logarithm for stationary and ergodic differences of (revers...
International audienceWe establish almost sure invariance principles, a strong form of approximation...
AbstractThe analysis of asymptotic behaviour of stochastic approximation procedures rests heavily on...
International audienceIn this paper, we give explicit rates in the central limit theorem and in the ...
We investigate the almost sure asymptotic properties of vector martingale transforms. Assuming some ...
AbstractConditions under which the partial sums of an array of weakly dependent random variables (Xn...
An almost sure invariance principle for stationary mixing sequences of random variables with mean ze...
In this paper, we obtain sufficient conditions in terms of projective criteria under which the parti...
AbstractThe proofs of various central limit theorems for strictly stationary sequences of random var...
Many of the proofs of various central limit theorems and laws of the iterated logarithm for strictly...
We prove the almost sure central limit theorem for martingales via an original approach which uses t...
AbstractMany of the proofs of various central limit theorems and laws of the iterated logarithm for ...
In this paper, we study a general central limit theorem and a general law of the iterated logarithm ...
We prove the almost sure central limit theorem for martingales via an original approach which uses t...
We prove the almost sure invariance principle for martingales with stationary ergodic differences ta...
We prove the compact law of the iterated logarithm for stationary and ergodic differences of (revers...
International audienceWe establish almost sure invariance principles, a strong form of approximation...
AbstractThe analysis of asymptotic behaviour of stochastic approximation procedures rests heavily on...
International audienceIn this paper, we give explicit rates in the central limit theorem and in the ...
We investigate the almost sure asymptotic properties of vector martingale transforms. Assuming some ...
AbstractConditions under which the partial sums of an array of weakly dependent random variables (Xn...
An almost sure invariance principle for stationary mixing sequences of random variables with mean ze...