The famous paper of Darling and Kac (1957) obtains the distribution of ∫10f(X(u)) du for a wide class of nonnegative functions f and Markov processes X(.). Their hypothesis and methods do not permit extension to include more general functions f. In this note two different sets of hypothesis on X(.) are presented under which it is shown that for all f integrable w.r.t. an approximate measure π (.), there is a nondegenerate limit distribution for ∫10f(X(u)) du when suitably normalized. This is then applied to Brownian motion in one and two dimensions, stable process and processes with independent increments
AbstractGiven n equidistant realisations of a Lévy process (Lt,t≥0), a natural estimator Nˆn for the...
This thesis consists of four papers. The first two papers treat extremes for L\\u27evy processes, wh...
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We prove distributional limit theorems and one-sided laws of the iterated logarithm for a class of p...
Given n equidistant realisations of a Lévy process (Lt; t >= 0), a natural estimator for the distrib...
Let \s{Xn, n □ 0\s} and \s{Yn, n □ 0\s} be two stochastic processes such that Yn depen...
This thesis consists of four papers. The first two papers treat extremes for L\'evy processes, while...
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Limit theorems of the type of the law of large numbers and the central limit theorem are established...
A classical limit theorem of stochastic process theory concerns the sample cumulative distribution f...
AbstractAlexander′s (1987, Ann. Probab.15 178-203) central limit theorem for empirical processes on ...
AbstractGiven n equidistant realisations of a Lévy process (Lt,t≥0), a natural estimator Nˆn for the...
This thesis consists of four papers. The first two papers treat extremes for L\\u27evy processes, wh...
The work consists of two parts. In the first part which is concerned with random walks, we construc...
AbstractLet \s{Xn, n ⩾ 0\s} and \s{Yn, n ⩾ 0\s} be two stochastic processes such that Yn depends on ...
We prove distributional limit theorems and one-sided laws of the iterated logarithm for a class of p...
Given n equidistant realisations of a Lévy process (Lt; t >= 0), a natural estimator for the distrib...
Let \s{Xn, n □ 0\s} and \s{Yn, n □ 0\s} be two stochastic processes such that Yn depen...
This thesis consists of four papers. The first two papers treat extremes for L\'evy processes, while...
Abstract. In the paper we study the asymptotic of the tail of distribution function P ( A ( X, c)&g...
Abstract. The limiting diffusion of special diploid model can be defined as a discrete generator for...
Charles Suquet c The distributions of Hölder norms of Brownian motion and of Brow-nian bridge are li...
This study gives detailed proofs of some limit theorems in probability which are important in theore...
Limit theorems of the type of the law of large numbers and the central limit theorem are established...
A classical limit theorem of stochastic process theory concerns the sample cumulative distribution f...
AbstractAlexander′s (1987, Ann. Probab.15 178-203) central limit theorem for empirical processes on ...
AbstractGiven n equidistant realisations of a Lévy process (Lt,t≥0), a natural estimator Nˆn for the...
This thesis consists of four papers. The first two papers treat extremes for L\\u27evy processes, wh...
The work consists of two parts. In the first part which is concerned with random walks, we construc...