Probability Theory and Mathematical Statistics : : Proceedings of the Sixth Vilnius Conference, Vilnius, Lithuania, 28 June–3 July, 1993 / / ed. by J. Kubilius, B. Grigelionis, H. Pragarauskas, V. Statulevičius.

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DGBA Mathematics - 1990 - 1999
MitwirkendeR:
HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2020]
©1994
Year of Publication:2020
Edition:Reprint 2020
Language:English
Online Access:
Physical Description:1 online resource (VIII, 742 p.)
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Table of Contents:
  • Frontmatter
  • CONTENTS
  • PREFACE
  • Large deviations in approximation by Poisson law
  • Limits of weak interaction for stochastic particle system
  • Rate of convergence in the limit transfer theorem of the maximum and minimum
  • Geometry of the state spaces in quantum probability
  • From diffusions to processes with jumps
  • Central limit theorem in Skorohod spaces and asymptotic strength distribution of fiber bundles
  • Ergodicity in a sense of weak convergence, equilibrium-type identities and large deviations for Markov chains
  • On second-order properties of mixing random sequences and random fields
  • Optimal couplings and application to Riemannian geometry
  • Empirical and partial sum processes with sample path in Banach function spaces
  • Applications of multi-time parameter processes to change-point analysis
  • Bergström-type asymptotic expansions in the first uniform Kolmogorov's theorem
  • Differentiation of heat semigroups and applications
  • On the realisation of classical Markov processes as quantum flows in Fock space
  • Unimodular eigenvalues and invariant probabilities for some classes of linear operators
  • On function-indexed partial-sum processes
  • Canonical spectral equation for the eigenvalues of empirical covariance matrices
  • Conditionally exponential families and Lundberg exponents of Markov additive processes
  • On the nonuniform approximation by means of distributions of sums of conditionally independent random variables
  • Kolmogorov's strong law of large numbers: the amart point of view
  • Cycle processes
  • Density-dependent branching processes as randomly perturbed iterations of maps
  • Stability of the inverse Radon transform
  • On conditions for existence of solutions of integral equations with stochastic line integrals
  • Nonlinear transformations of empirical processes: functional inverses and Bahadur-Kiefer representations
  • Rate of convergence in the functional central limit theorem for one-dimensional semimartingales
  • On limit theorems for the Riemann zeta-function in some spaces
  • A posteriori and sequential methods of change-point detection in FARIMA-type time series
  • Limit theorems for the local density of measures in the hypotheses testing problems of counting processes
  • On the strong independence of sequential ranks
  • A proof of the Erdös arcsine law
  • Quasi-state decompositions for quantum spin systems
  • On accuracy of approximation with stable laws
  • Distributions of processes governed by hyperbolic equations when also boundary conditions are assumed
  • Central limit theorems on stratified Lie groups
  • On the convergence rate in the multi-dimensional martingale CLT
  • Stein-Chen method for compound Poisson approximation: the coupling approach
  • Some aspects of the development of probabilistic number theory
  • Mixture of extremal distributions - a model alternative to the log-linear model
  • Infinite-dimensional M-estimation
  • On large deviations in averaging principle for systems of stochastic differential equation with unbounded coefficients