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Stochastic Processes and Applications

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Cover of 'Stochastic Processes and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Dmitrii S. Silvestrov
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    Chapter 2 A Journey in the World of Stochastic Processes
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    Chapter 3 Individual Ergodic Theorems for Perturbed Alternating Regenerative Processes
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    Chapter 4 On Baxter Type Theorems for Generalized Random Gaussian Fields
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    Chapter 5 Limit Theorems for Quadratic Variations of the Lei–Nualart Process
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    Chapter 6 Parameter Estimation for Gaussian Processes with Application to the Model with Two Independent Fractional Brownian Motions
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    Chapter 7 Application of Limit Theorems for Superposition of Random Functions to Sequential Estimation
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    Chapter 8 On Simulation of a Fractional Ornstein–Uhlenbeck Process of the Second Kind by the Circulant Embedding Method
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    Chapter 9 Constructive Martingale Representation in Functional Itô Calculus: A Local Martingale Extension
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    Chapter 10 Random Fields Related to the Symmetry Classes of Second-Order Symmetric Tensors
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    Chapter 11 Nonlinearly Perturbed Birth-Death-Type Models
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    Chapter 12 Phase-Type Distribution Approximations of the Waiting Time Until Coordinated Mutations Get Fixed in a Population
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    Chapter 13 Characterizing the Initial Phase of Epidemic Growth on Some Empirical Networks
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    Chapter 14 Replication of Wiener-Transformable Stochastic Processes with Application to Financial Markets with Memory
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    Chapter 15 A New Approach to the Modeling of Financial Volumes
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    Chapter 16 PageRank in Evolving Tree Graphs
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    Chapter 17 Traditional and Lazy PageRanks for a Line of Nodes Connected with Complete Graphs
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    Chapter 18 Continuous Approximations of Discrete Choice Models Using Point Process Theory
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    Chapter 19 Nonlinear Dynamics Simulations of Microbial Ecological Processes: Model, Diagnostic Parameters of Deterministic Chaos, and Sensitivity Analysis
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