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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Bibliographic Details
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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Table of Contents:
  • 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