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Point Processes

This book describes the properties of stochastic probabilistic models and develops the applied mathematics of stochastic point processes;

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Point Processes and Their Statistical Inference

treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;

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Point Processes and Their Statistical Inference

treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;

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Introduction to the Theory of Point Processes

who have reworked their 1988 first edition, it brings together the basic theory of random measures and point processes in a unified setting;

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Introduction to the Theory of Point Processes

who have reworked their 1988 first edition, it brings together the basic theory of random measures and point processes in a unified setting;

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Fractal-Based Point Processes

An integrated approach to fractals and point processes This publication provides a complete and integrated presentation of the fields;

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An Introduction to the Theory of Point Processes: Volume I

Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns, and;

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An Introduction to the Theory of Point Processes

Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns, and;

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Marked Point Processes on the Real Line

This book gives a self-contained introduction to the dynamic martingale approach to marked point processes (MPP). Based on the notion of a;

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Point Processes and Product Densities

Point processes are random processes that are concerned with point events occurring in space or time. A powerful method of analyzing them;

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Defects and Defect Processes in Nonmetallic Solids

point-defect processes. It encompasses electronic, vibrational, and optical properties of defective solids and discusses extended defects such;

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Stationary Stochastic Processes

representations for stationary processes and fields, including a portion on stationary point processes. Features Presents and;

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Dynamical Mechanical Systems Under Random Impulses

of impulses. This particular class of excitations is adequately characterized by stochastic point processes and behaviour of dynamical systems;

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Handbook of Spatial Point-Pattern Analysis in Ecology

extract information hidden in spatial point-pattern data that may point to the underlying processes. The authors focus on point processes and null;

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Multidimensional Diffusion Processes

in Markov processes from a more theoretical point of view. Mathematische Operationsforschung und Statistik;

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Point Process Calculus in Time and Space

This book provides an introduction to the theory and applications of point processes, both in time and in space. Presenting the two;

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Global Beauty, Local Bodies

processes create as the jumping-off point for an examination of what it means to be, have, or aspire to a beautiful body.;

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Limit Theorems for Stochastic Processes

This volume by two international leaders in the field proposes a systematic exposition of convergence in law for stochastic processes from;

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Mixed Poisson Processes

To date, Mixed Poisson processes have been studied by scientists primarily interested in either insurance mathematics or point processes;

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Functional Estimation For Density, Regression Models And Processes

processes. New estimators are defined and their limiting behavior is studied. From a practical point of view, the book expounds on the construction;

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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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Modern Machining Technology

categories: cutting (involving single point or multipoint cutting tools); abrasive processes (including grinding and advanced machining processes;

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Estimations And Tests In Change-point Models

of estimation and test in a wide range of models with changes. They include parametric and nonparametric models for samples, series, point processes and;

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Simulation and Inference for Stochastic Processes with Yuima: A Comprehensive R Framework for Sdes and Other Stochastic Processes

differential equations driven by Wiener process, Levy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The;

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Elliptic Boundary Value Problems and Construction of Lp-Strong Feller Processes with Singular Drift and Reflection

coefficients, as well as on the discussion of point wise and path wise properties of the constructed processes rather than just the quasi-everywhere;

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Validation of Food Preservation Processes based on Novel Technologies

point of the development and validation. Brings science-based validation practices for food processes using novel preservation;

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Membranes

Describes the properties of cellular membranes and their relationship with fundamental biological processes. This book provides insight on;

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