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Estimates of Stochastic Processes with Stationary Increments and Cointegrated Sequences

processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with stationary increments. It;

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Estimation of Stochastic Processes with Missing Observations

values of stationary stochastic processes. Estimates are based on observations of the processes with additive stationary noise process. The aim;

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Selected Aspects of Fractional Brownian Motion

, including the stochastic integration with respect to it, the study of its supremum and its appearance as limit of partial sums involving stationary;

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Selected Aspects of Fractional Brownian Motion

, including the stochastic integration with respect to it, the study of its supremum and its appearance as limit of partial sums involving stationary;

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Dynamics of Statistical Experiments

the representation of a stationary Gaussian statistical experiment with the Markov property, as a stochastic difference equation solution;

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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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Stable Non Gaussian Self Similar Processes with Stationary Increments

sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed;

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Stationary Stochastic Processes

details without being pedantic, Stationary Stochastic Processes: Theory and Applications is for the student with some experience with stochastic;

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Introduction to the Theory of Random Processes

, stationary processes, infinitely divisible processes, and Ito stochastic equations. Basics of discrete time martingales are also presented and then;

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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 Analysis & Applications

Contents: On the Large & Small Increments of Fractional Lvy Brownian Fields; On Oblique Reflecting Switched Diffusion Processes; On the;

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Stationary Stochastic Processes for Scientists and Engineers

course, Stationary Stochastic Processes for Scientists and Engineers teaches students how to use these processes efficiently. Carefully balancing;

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Hilbert And Banach Space-valued Stochastic Processes

of infinite-dimensional stationary and nonstationary stochastic processes or time series, based on Hilbert and Banach space-valued second order random;

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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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Stochastic Processes

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

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Student's t-Distribution and Related Stochastic Processes

-dimensional, strictly stationary diffusions with the Student's t-marginal distribution are defined as the unique weak solution for the stochastic;

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Probability on Real Lie Algebras

-commutative couples of random variables, non-commutative stochastic processes with independent increments (quantum Levy processes), and the quantum;

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Generated Dynamics of Markov and Quantum Processes

This book presents Markov and quantum processes as two sides of a coin called generated stochastic processes. It deals with quantum;

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Real Options Analysis

, real option models reflect stochastic underlying processes and flexibility. In this book, the authors present topical research in the study;

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Elements of Applied Stochastic Processes

This 3rd edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and;

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Noncommutative Mathematics for Quantum Systems

of quantum stochastic processes with independent and stationary increments. The second part provides an introduction to quantum dynamical systems;

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Stochastic Models with Power-Law Tails

sequences and random iterative systems. The text gives an introduction to the Kesten-Goldie theory for stochastic recurrence equations of the;

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A First Course in Stochastic Processes

with random sums, stationary stochastic processes, and diffusion theory. ;

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Levy Processes & Stochastic Calculus

Levy processes form a wide and rich class of random process, and have many applications ranging from physics to finance. Stochastic;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Advanced Signal Processing and Digital Noise Reduction

of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical;

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