Probability and Mathematical Statistics 24.2

Opis książki:

Adaptive kernel estimation of the mode in a nonparametric random design regression model
Random sums stopped by a rare event: a new approximation
Tsallis` entropy bounds for generalized order statistics
Fractional derivatives of local times of stable Levy processes as the limits of the occupation time problem in Besov space
Limiting behavior of weighted sums of heavytailed random vectors and applications
Local large deviation theorem for sums of i.i.d. random vectors when the Cramér condition holds in the whole space
Central Limit Theorems for random stain
Markov processes conditioned to never exit a subspace of the state space
Principal eigenvalues for time changed processes of one-dimensional ?-stable processes
Comparision of tail probabilities of strictly semistable/stable random vectors and their symmetrized counterparts with application Dependent noise for stochastic algorithms
Diagonalizability of non-homogeneous quantum Markov states and associated von Neumann algebras
Empirical likelihood for the additive risk model
Law of the iterated logarithm for subsequences of partial sums which are in the domain of partial attraction of a semistable law

Książka "Probability and Mathematical Statistics 24.2" - Kazimierz Urbanik - oprawa miękka - Wydawnictwo Uniwersytetu Wrocławskiego.