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Markov Processes from K. Ito's Perspective (AM-155)

Kolmogorov-Feller theory of Markov processes. Starting with the geometric ideas that guided him, this book gives an account of Ito's program. The;

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Introduction to Stochastic Analysis

and Stratonovich stochastic integrals, Ito s formula; stochastic differential equations (SDEs); solutions of SDEs as Markov processes;

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Theory and Statistical Applications of Stochastic Processes

processes, martingales, Markov properties, continuity and related properties of trajectories with contemporary subjects: integration with respect to;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Stochastic Calculus for Finance

This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to;

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Mastering Mathematical Finance

This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to;

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Stochastic Calculus for Finance

This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to;

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Boundary Value Problems and Markov Processes: Functional Analysis Methods for Markov Processes

processes. It brings these three fields of analysis together, providing a comprehensive study of Markov processes from a broad perspective. The;

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Markov Processes and Potential Theory

This advanced text explores the relationship between Markov processes and potential theory, in addition to aspects of the theory;

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Stochastic Calculus and Differential Equations for Physics and Finance

Brownian motion is thoroughlyanalyzed and contrasted with Ito processes. The Chapman-Kolmogorov and Fokker-Planck equations are shown in theory and;

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The Dynkin Festschrift

. But Dynkin's most famous results in probability concern the theory of Markov processes. Following Kolmogorov, Feller, Doob and Ito, Dynkin;

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Stochastic Systems In Merging Phase Space

space is considered in asymptotic split and merging schemes. Most of the results from semi-Markov processes are new and presented for the first;

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From Measures to Ito Integrals

From Measures to Ito Integrals gives a clear account of measure theory, leading via L2-theory to Brownian motion, Ito integrals and a brief;

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Competitive Markov Decision Processes

This book is intended as a text covering the central concepts and techniques of Competitive Markov Decision Processes. It is an attempt to;

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Competitive Markov Decision Processes

This book is intended as a text covering the central concepts and techniques of Competitive Markov Decision Processes. It is an attempt to;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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Orthogonal Polynomials in the Spectral Analysis of Markov Processes

In pioneering work in the 1950s, S. Karlin and J. McGregor showed that probabilistic aspects of certain Markov processes can be studied by;

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Economic Stagnation in Japan Exploring the Causes and Remedies of Japanization

Japan?s dramatic transformation from economic success to economic stagnation offers important policy lessons to advanced countries;

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Markov Processes

Clear, rigorous, and intuitive, Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic;

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Semi-Dirichlet Forms and Markov Processes

This book deals with analytic treatments of Markov processes. Symmetric Dirichlet forms and their associated Markov processes are important;

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Markov Processes and Applications

diffusion processes, mathematical finance and stochastic calculus.* Applications of Markov processes to various fields, ranging from mathematical;

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First Look At Stochastic Processes, A

martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and;

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First Look At Stochastic Processes, A

martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and;

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Statistical Inference for Piecewise-deterministic Markov Processes

Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance;

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Asymptotic Properties of Permanental Sequences

sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes and;

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Semi-Markov Processes

Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time;

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