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Transactions of the Ninth Prague Conference

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Table of Contents

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    Book Overview
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    Chapter 1 Performance of Exotic Quantum Signals in Free-Space Optical Communications
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    Chapter 2 Robust Estimators of Location anD Regression Parameters and their Second Order Asymptotic Relations
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    Chapter 3 Generators of Some Classes of Probability Measures On Banach Spaces
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    Chapter 4 Monte-Carlo Methods from the Point of View of Algorithmic Complexity
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    Chapter 5 Discrimination Rate Least Favorable Pairs of Distributions for ε-Contaminated Statistical Hypotheses or with f -Divergence Like Neighborhoods
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    Chapter 6 On the Local Time of Brownian Bridge
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    Chapter 7 Robust Estimation of One Real Parameter When Nuisance Parameters are Present
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    Chapter 8 Discrete Methods in Cooperative Game Theory
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    Chapter 9 A New General Approach to Minimum Distance Estimation
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    Chapter 10 On Models of Complicated Functions Under Uncertainty
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    Chapter 11 An Attempt to Solve Approximately the Optimal Estimation Problem for Markov Processes by Expansion of the A-Pos-Teriori Density in an Edgeworth Series
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    Chapter 12 Marginal Distributions of Autoregressive Processes
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    Chapter 13 ОБ ОПТИМАЛЬНЫХ АЛГОРИТМАХ ОПТИМИЗАЦИИ ФУНКЦИОНАЛОВ С БУЛЕВЫМИ ПЕРЕМЕННЫМИ
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    Chapter 14 An Equilibrium Theory for Multi-Person Multi-Criteria Stochastic Decision Problems with Multiple Subjective Probability Measures
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    Chapter 15 Processus D’Ornstein Uhlenbeck Generalise. Mesures Stationnaires dans le cas Gaussien
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    Chapter 16 Application of the Statistical Decision Theory to System Identification
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    Chapter 17 Computing Fixed Points for Fuzzy Mappings
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    Chapter 18 Information Submartingales
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    Chapter 19 О КВАДРАШВСКОЙ МЕРЕ ОТКЛОНЕНИЯ ОЦЕНКИ ЛИНИИ РЕГРЕССИИ
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    Chapter 20 Coupling of Markov Processes and Holley’s Inequalities for Gibbs Measures Statistical Application of Gibbs Measures
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    Chapter 21 An Empirical Power of Some Tests for Linearity
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    Chapter 22 The Optimal Control of Partially Observable Semi-Markov Processes Over the Infinite Horizon: Discounted Costs
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    Chapter 23 Information Methods in Identification
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    Chapter 24 Quantum Stochastic Processes
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    Chapter 25 Symbol Error Rate of Binary Block Codes
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    Chapter 26 Binary Communication over a Channel Subject to Active Interference
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    Chapter 27 Generalizations of the Maximum Entropy Principle and their Applications
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    Chapter 28 A Modification of the Extended Kalman Filter Algorithm with Application in Hydrology
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    Chapter 29 Relations Between the Crude, Factorial and Inverse Factorial Moments
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    Chapter 30 The Bern Stein-von Mises Theorem for Non-Stationary Markov Processes
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    Chapter 31 On Dynamic Min-Max Decision Models
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    Chapter 32 Estimation of Precipitation Characteristics from Time-Integrated Data
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    Chapter 33 The Central Limit Theorem for Statistics of a Spectral Density with Time Shift
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    Chapter 34 On the Martingale Convergence Theorem in Quantum Theory
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    Chapter 35 Some Complexity Considerations Concerning Hypotheses In Multidimensional Contingency Tables
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    Chapter 36 Theorems on Selectors in Topological Spaces I
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    Chapter 37 A Game-Theoretic Arroi-Debreu Model
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    Chapter 38 Asymptotic Results for an Epidemic Process on Random Graphs
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    Chapter 39 Maximum Entropy Spectral Analysis and Arma Processes II
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    Chapter 40 Discrete Finite State Random Fields and their Reduced Versions as Information Sources
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    Chapter 41 Strategical Test — A Generalization of the Wald’s Sequential Test
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    Chapter 42 Sequences of Stochastic Programming Problems with Incomplete Information
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Title
Transactions of the Ninth Prague Conference
Published by
Springer Netherlands, April 2013
DOI 10.1007/978-94-009-7013-7
ISBNs
978-9-40-097015-1, 978-9-40-097013-7
Authors

Kožešnik, J.

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