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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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Stable Non-Gaussian Random Processes

random variables. It discusses the most basic sample path properties of stable processes, namely sample boundedness and continuity.;

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Non-Gaussian Random Vibration Fatigue Analysis and Accelerated Test

This book discusses the theory, method and application of non-Gaussian random vibration fatigue analysis and test. The main contents;

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Gaussian Random Processes

The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions;

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Statistical Mechanics & Random Walks

; subordinated Gaussian processes; random walk models in biophysical science; non-equilibrium dynamics and diffusion processes; global random walk;

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Gaussian and Non-Gaussian Linear Time Series and Random Fields

with problems of prediction and estimation. New results for nonminimum phase non-Gaussian processes are exposited and open questions are noted;

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Stochastic Analysis & Applications

Increments of a Class of Gaussian Processes; Random Walk Tests & Pseudorandom Number Generators; Increments Theory on Gaussian Processes; The Law;

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Level Sets and Extrema of Random Processes and Fields

. Level Sets and Extrema of Random Processes and Fields is an excellent book for courses on probability theory, spatial statistics, Gaussian;

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Simulation of Stochastic Processes with Given Accuracy and Reliability

reliability in functional spaces. The authors explore analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random;

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Random Processes By Example

. The toolbox includes Gaussian processes, independently scattered measures such as Gaussian white noise and Poisson random measures, stochastic;

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Probability And Stochastic Processes

for random variables and processes: Bernoulli, multinomial, exponential, Gamma, Beta, Dirichlet, Poisson, Gaussian, Chi2, ordered variables;

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Probability And Stochastic Processes

for random variables and processes: Bernoulli, multinomial, exponential, Gamma, Beta, Dirichlet, Poisson, Gaussian, Chi2, ordered variables;

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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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Functional Gaussian Approximation for Dependent Structures

of dependent random variables which satisfy invariance principles, making possible the statistical study of data coming from stochastic processes both;

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Some Random Series of Functions

Hilbert spaces, random Taylor or Fourier series, Brownian motion and other Gaussian processes, plus certain types of random sets and measures. The;

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Advanced Probability Theory for Biomedical Engineers

This is the third in a series of short books on probability theory and random processes for biomedical engineers. This book focuses on;

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Stochastic Dynamics and Control

processes Random vibrations Structural reliability and fatigue, Non-Gaussian fatigue Monte Carlo methods Stochastic calculus;

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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Random Fields for Spatial Data Modeling

representations, perturbation and variational methods). The book also explores links between random fields, Gaussian processes and neural networks used;

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Probability

limiting theorems, Bayesian computational methods, as well as a modern view on sampling and reconstruction of Gaussian and non-Gaussian random;

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Fundamentals of Communications Systems

angle modulation, and random processes. This essential resource then explains noise in bandpass communications systems...bandpass Gaussian;

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Functional Integrals

approximate computation methods of functional integrals on a wide class of measures, including measures generated by homogeneous random processes with;

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Probability and Random Processes for Electrical and Computer Engineers

variables. The later chapters have a more specialized coverage, including random vectors, Gaussian random vectors, random processes, Markov Chains;

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Student's t-Distribution and Related Stochastic Processes

distribution. These results allow us to define and analyse Student-Levy processes as Thorin subordinated Gaussian Levy processes. A broad class of one;

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Modeling Fluctuations in Scattered Waves

statistics. The following chapters describe Gaussian processes and the random walk model, address multiple scattering effects and propagation through;

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