Frontiers in Pure and Applied Probability. / Vol. 1, : Proceedings of the Third Finnish-Soviet Symposium on Probability Theory and Mathematical Statistics, Turku, Finland, August 13–16, 1991 / / ed. by A. V. Melnikov, A. N. Shiryaev, G. Högnas, H. Niemi.
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Superior document: | Title is part of eBook package: De Gruyter DGBA Mathematics - 1990 - 1999 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2020] ©1993 |
Year of Publication: | 2020 |
Edition: | Vol. 2 didn't appear. Reprint 2020 |
Language: | English |
Series: | Frontiers in Pure and Applied Probability ;
Vol. 1 |
Online Access: | |
Physical Description: | 1 online resource (VIII, 296 p.) |
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Table of Contents:
- Frontmatter
- CONTENTS
- PREFACE
- RENOVATION, REGENERATION, AND COUPLING IN MULTIPLE-SERVER QUEUES IN CONTINUOUS TIME
- ON FUNCTIONALS OF BRANCHING BROWNIAN MOTION
- CONVERGENCE RATES IN TRANSIENT PHENOMENA FOR BRANCHING PROCESSES
- THE WICK PRODUCT
- MODELLING VARMAX-PROCESSES BY EXTENDED SAMPLE AUTOCORRELATION AND LINEAR REGRESSION TECHNIQUES
- A BRIEF ACCOUNT OF THE THEORY OF HOMOGENEOUS GAUSSIAN DIFFUSIONS IN FINITE DIMENSIONS
- A NOTE ON FIRST PASSAGES IN BRANCHING BROWNIAN MOTIONS
- RANDOM GRAPHS WITH MARKED CYCLES
- LOCAL LIMIT THEOREM ON CONVERGENCE OF MARKOV CHAINS TO DIFFUSION PROCESSES
- A NOTE ON THE STATIONARY MODIFICATION OF THE LOGLIKELIHOOD FUNCTION IN ASYMPTOTIC CONTINUOUS TIME SYSTEM IDENTIFICATION
- CONVERGENCE OF FILTERED EXPERIMENTS TO THE EXPERIMENT GENERATED BY A SEMIMARTINGALE
- MARTINGALE APPROACH TO THE PROCEDURES OF STOCHASTIC APPROXIMATION
- ON A GENERAL CLASS OF STOCHASTIC APPROXIMATION ALGORITHMS
- STOCHASTIC APPROXIMATIONS IN THE MAXIMUM LIKELIHOOD INFERENCE FOR MARKOV RANDOM FIELDS
- THE EDGEWORTH EXPANSION IN Rk
- AN IMPROVED NONUNIFORM CONVERGENCE RATE ESTIMATE IN THE CENTRAL LIMIT THEOREM IN Rk
- ASYMPTOTIC PROPERTIES OF THE MAXIMUM LIKELIHOOD ESTIMATORS UNDER RANDOM NORMALIZATION FOR A FIRST ORDER AUTOREGVESSIVE MODEL
- INFINITE SYSTEMS OF DISSIMILAR PARTICLES WITH RANDOM INTERACTIONS
- ON SEQUENTIAL DETECTION OF A SMALL DISORDER
- BRANCHING PROCESSES AND RANDOM TREES
- ON THE MARCINKIEWICZ WEAK LAWS OF LARGE NUMBERS IN BANACH SPACES
- ESTIMATING FUNCTIONS AND EFFICIENCY IN A FILTERED MODEL
- LIST OF CONTRIBUTORS