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Stochastic Processes and Related Topics

Times. A unique opportunity to read ideas from all the top experts on the subject, Stochastic Processes and Related Topics is intended for;

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Theory and Statistical Applications of Stochastic Processes

This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It;

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Recent Advances in Inverse Scattering, Schur Analysis and Stochastic Processes

The volume is dedicated to Lev Sakhnovich, who made fundamental contributions in operator theory and related topics. Besides bibliographic;

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Recent Advances in Inverse Scattering, Schur Analysis and Stochastic Processes

The volume is dedicated to Lev Sakhnovich, who made fundamental contributions in operator theory and related topics. Besides bibliographic;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and;

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Stochastic Processes

important book is a selection of his brilliant works on stochastic processes and related topics. It contains Tanaka's papers on (i) Brownian motion;

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Potential Analysis of Stable Processes and its Extensions

Stable Levy processes and related stochastic processes play an important role in stochastic modelling in applied sciences, in particular;

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Stochastic Processes and Related Topics

Concerned with stable processes and other infinitely divisible models this volume collates articles covering a range of related topics;

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Numerical Methods For Stochastic Processes

new methods. Topics presented include Monte Carlo and quasi-Monte Carlo methods, the simulation of major stochastic processes and;

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Probability on Real Lie Algebras

classical and quantum stochastic processes on Lie algebras. In the early chapters, focus is placed on concrete examples of the links between;

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Elements Of Stochastic Modelling

of probability theory and then covers the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory;

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Stochastic Models, Statistics and Their Applications

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed;

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Semimartingale Theory and Stochastic Calculus

Semimartingale Theory and Stochastic Calculus presents a systematic and detailed account of the general theory of stochastic processes, the;

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Stochastic Processes

Well-written and accessible, this classic introduction to stochastic processes and related mathematics is appropriate for advanced;

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Combinatorial Stochastic Processes

of combinatorics and stochastic processes. There is particular focus on the theory of random combinatorial structures such as partitions, permutations;

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Stationary Stochastic Processes

Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind;

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Almost Periodic Stochastic Processes

This book lays the foundations for a theory on almost periodic stochastic processes and their applications to various stochastic;

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Advances in Stochastic Structural Dynamics

processes, and sample path behavior of Gaussian processes. For scientists and researchers.;

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Stochastic Processes: Modeling and Simulation

This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme;

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Stochastic Analysis of Mixed Fractional Gaussian Processes

indices. Stochastic integration with respect to these processes is considered, as is the study of the existence and uniqueness of solutions;

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Elements of Stochastic Modelling

of Melbourne. It reviewed the basics of probability theory and then covered the following topics: Markov chains, Markov decision processes, jump Markov;

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Elements Of Stochastic Modelling

of Melbourne. It reviewed the basics of probability theory and then covered the following topics: Markov chains, Markov decision processes, jump Markov;

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Topics in stochastic processes

The notes are based on lectures on stochastic processes given at Scuola Normale Superiore in 1999 and 2000. Some new material was added and;

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An Introduction to Continuous-Time Stochastic Processes

processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, the work features concrete;

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Stochastic Processes - Inference Theory

fundamental memoir on stochastic processes and related inference theory. The present volume gives a substantial account of regression analysis, both;

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Lectures on the Poisson Process

stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point;

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Lectures on the Poisson Process

stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point;

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