ERRATUM TO 'AN INVARIANCE PRINCIPLE FOR STATIONARY RANDOM FIELDS UNDER HANNAN'S CONDITION'

Marckert and Miermont (2006) show that similar results as in Chassaing and Schaeffer (2004); Le Gall (2006); Marckert and Mokkadem (2006) hold for rooted and pointed bipartite

We will point out and correct an error which has occurred in Section 2 of [Hadac, Martin, Herr, Sebastian and Koch, Herbert, Well-posedness and scattering for the KP-II equation in

Although the splitting is shown to be exponentially small it might be large enough for the method in § 12 to apply; but this requires further analysis of the special

We have proposed a method to effectively construct the probability density function of a random variable in high dimension and for any support of its probability distribution by

The material is organized as follows. Random measures and point pro- cesses are presented first, whereas stochastic geometry is discussed at the end of the book. For point processes

Volný, A strictly stationary β-mixing process satisfying the central limit theorem but not the weak invariance principle, Stochastic Process. Volný, A counter example to central

Using the inequalities in [PUW07] in order to bound kE [S n (f ) | T M ] k 2 , we can see that the constructed f in the proof of Theorem 1.5 satisfies the classical Maxwell and

We investigate the invariance principle in Hölder spaces for strictly stationary martingale difference sequences.. In particular, we show that the suffi- cient condition on the tail in