Probability Theory and Mathematical Statistics : : Proceedings of the Fourth Vilnius Conference, Vilnius, USSR, 24–29 June 1985. / Vol. 1 / / ed. by B. Grigelionis, V. A. Statulevičius, V. V. Sazonov, Yu. V. Prohorov.

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Superior document:Title is part of eBook package: De Gruyter DGBA Mathematics - <1990
MitwirkendeR:
HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2020]
©1987
Year of Publication:2020
Edition:Reprint 2020
Language:English
Series:Probability Theory and Mathematical Statistics ; Vol. 1
Online Access:
Physical Description:1 online resource (IX, 574 p.)
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Description
Other title:Frontmatter --
CONTENTS --
Preface --
Quantum stochastic calculus --
Glivenko-Cantelli convergence for weighted empirical and quantile processes of U-statistic structure --
On symmetry properties and nonparametric estimates of the ʋ-th order spectral density of a stationary random process --
Large deviations for first-passage times --
Quasi-average approach to the description of the limit states of the n-vector Curie-Weiss ferromagnet --
Inequalities at the Markov approximation of lumped processes --
Remarks on limit theorems for sequences of random variables with random index --
Continuity of local time for Markov processes with stationary independent increments --
Detection and diagnosis of changes in the A.R. part of an A.R.M. A. model with nonstationary unknown M. A. coefficients --
Nonparametric estimation of distribution functions based on incomplete data --
Diffusion processes on the group T ∞ and elliptic equations of infinitely many variables --
Lower estimates of the convergence rate in the CLT in Banach spaces --
Weak limits of probability measures on metric Schauderspaces --
Optimal consumption and investment in a stochastic model --
Large deviations from classical paths and the classical limit of quantum stochastic flows --
Limit theorems for multicomponent hierarchical models --
On limit theorems for random vectors controlled by a Markov chain --
Upper and lower estimates of the convergence rate in the invariance principle for empirical measures --
The contraction principle for C0-summing operators and SLLN for weighed sums --
Limit theorems for stochastic inventory models --
Limit theorems under weak dependence conditions --
Non commutative integration and probability on von Neumann algebras --
On optimal controls in the problem of locally absolutely continuous change of measure (compact sets of decisions) --
Non-uniform estimates of the remainder term in limit theorems with a stable limit law --
Multiple stable stochastic integrals --
A generalization of p-type spaces --
Smooth measures on infinite dimensional manifolds and forward Kolmogorov equation --
The structure of distributions of convex functionals --
Wiener germs applied to the tails of m-estimators --
On the asymptotic behaviour of the linear stochastic heat equation solutions --
Some universal donsker classes of functions --
Duplicates in mixed sequences and a frequency duplication principle. Methods and applications --
Bootstrapping empirical measures indexed by Vapnik-Chervonenkis classes of sets --
A remark on the Central Limit Theorem for random measures and processes --
Elliptic law and elements of G-analysis --
Mathematical aspects on the variation of air pollutant concentrations --
Weak solutions of the stochastic evolution and invariance principles --
Optimal stopping of a Markov chain with vector-valued gain function --
Some strong laws of large numbers in Banach spaces with regular norms --
Optimality in estimation for stochastic processes under both fixed and large sample conditions --
On urn schemes imbedded in birth processes --
Limiting distributions and mean-values of complex-valued multiplicative functions --
Asymptotically minimax testing of nonparametric hypotheses
Format:Mode of access: Internet via World Wide Web.
ISBN:9783112319000
9783110635881
DOI:10.1515/9783112319000
Access:restricted access
Hierarchical level:Monograph
Statement of Responsibility: ed. by B. Grigelionis, V. A. Statulevičius, V. V. Sazonov, Yu. V. Prohorov.