Proceedings of the Bakuriani Colloquium in honour of Yu. V. Prohorov, Bakuriani, Georgia, USSR, 24 February-4 March, 1990
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Bibliographic Information
Proceedings of the Bakuriani Colloquium in honour of Yu. V. Prohorov, Bakuriani, Georgia, USSR, 24 February-4 March, 1990
(New trends in probability and statistics, v. 1)
VSP , Mokslas, 1991
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"Colloquium on Probability Theory and Mathematical Statistics" -- Pref
Description and Table of Contents
Description
01/07 This title is now available from Walter de Gruyter. Please see www.degruyter.com for more information.
Table of Contents
- Part 1 Limit theorems - finite-dimensional case: on the bounds for the probabilities of large deviations for random variables and vectors, Sh.S. Ebralidze
- the influence of extreme summands on the law of iterated logarithm, M.U. Gafurov and I.M. Hamdamov
- generalized Marcinkiewicz's theorem and asymptotic expansions in the central limit theorem, L.B. Klebanov and J.A. Melamed
- on integrability of sup [Snk/nk], O.I. Klesov
- asymptotic expansions in large deviation zones for the distribution density of sums of independent random variables, L. Saulis
- strong law of large numbers for operator normalized sums of independent random vectors, S. Solntsev. Part 2 Limit theorems in general spaces: on the distribution of the sup-norm for a stable motion and the rate of convergence, M. Bloznelis
- semi-invariant conditions of weak convergence of random processes in the space of continuous functions, V. Buldygin
- almost sure permutational convergence of vector random series and Kolmogorov's problem. S.A. Chobanyan and G.J. Giorgobiani
- limit theorems for stable laws in Banach spaces, A.N. Chupronov
- an estimate of the rate of convergence in the CLT for dependent Hilbert space valued random variables, P. Gudynas
- an improved estimate of the accuracy of Gaussian approximation in Hilbert space, V.V. Sazonov and V.V. Ulyanov
- on large deviations for L-estimates, R. Zitkis. Part 3 Limit theorems for stochastic processes: rates of convergence in the invariance principle for empirical processes, V.I. Kolchinskii
- ergodic theorem for semimartingale-helix, R. Sh. Liptser
- ergodic theorems for discrete time random processes, S.V. Nagaev
- on functional principle of large deviations, A. Puhalskii. Part 4 Probabilities in general spaces: some properties of Gaussian measures and potentials in Martingale spaces with mixed norm, A.D. Bendikov
- unexpected limit behaviour of the Gaussian tail probabilities, M.A. Lifshits
- topologies on the space of sigma-additive cylindrical probabilities, D.H. Mushtari
- two-sided exponential inequalities for the distribution of the norm of Banach space valued random variables, E.J. Ostrovskii
- nonuniform estimates of the density of the squared norm of a Gaussian vector in Hilbert space, V.V. Ulyanov
- on sequential conditions for a cylindrical measure to be countably additive, Yu. N. Vladimirskii
- a family of measures admitting consistent estimates, Z.S. Zerakidze. Part 5 Stochastic analysis and control. Part 6 Mathematical statistics. Part 7 Towards natural sciences: on condensable point processes, R.V. Ambartzumian
- the ground state of a random stationary medium in the mean field approximation, A. Astrauskas and S.A. Molchanov
- scaling behaviour of random walks with topological constraints, S.K. Nechaev and Ya.G. Sinai
- covergence of the stochastic quantization method for lattice R-gauge theories, V. Sidoravicius.
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