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Semimartingales and their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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Semimartingales and Their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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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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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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Stochastic Processes: Theory and Methods

J. Neyman, one of the pioneers in laying the foundations of modern statistical theory, stressed the importance of stochastic processes;

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Topics in stochastic processes

measure theory and functional analysis. They might be used for more advanced courses on stochastic processes.;

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Statistical Inference in Stochastic Processes

Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and;

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Stochastic Models, Statistics and Their Applications

analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design;

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Mathematical Physics at Saint-Flour

Gross, Leonard: Thermodynamics, statistical mechanics, and random fields.-Foellmer, Hans: Random fields and diffusion processes.- Nelson;

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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 in Cell Biology

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. In the second edition the;

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Elements of Applied Stochastic Processes

statistical inference in stochastic processes. * Integration of theory and application offers improved teachability * Provides a comprehensive;

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Ambit Stochastics

Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes which depend on both time and space. This;

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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic;

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Applied Stochastic Processes

This book uses a distinctly applied framework to present the most important topics in stochastic processes, including Gaussian and;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

modelled by non-Brownian stochastic processes in the complex real-world environment. Statistical observables are widely used for anomalous and;

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Statistical Inference for Fractional Diffusion Processes

economics. In model building, statistical inference for stochastic processes is of great importance from both a theoretical and an applications;

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Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and;

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Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and;

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The Statistical Physics of Fixation and Equilibration in Individual-Based Models

theory and applications of stochastic population dynamics, and the use of techniques from statistical physics in their analysis. The thesis then;

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Stationary Stochastic Processes for Scientists and Engineers

Stochastic processes are indispensable tools for development and research in signal and image processing, automatic control, oceanography;

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Stochastic Processes in Cell Biology

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. A wide range;

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Selfsimilar Processes

. Though the text uses the mathematical language of the theory of stochastic processes, researchers and end-users from such diverse fields as;

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Encyclopedia of Mathematics and its Applications

. Stochastic parabolic and hyperbolic equations on domains of arbitrary dimensions are studied, and applications to statistical and fluid mechanics and;

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Probability

development of distribution theory while also introducing the reader to basic statistical inference. In this way, the major stochastic processes are;

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Optional Processes

. Optional Processes: Theory and Applications seeks to delve into the existing theory, new developments and applications of optional processes on;

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Stochastic Geometry for Wireless Networks

Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will;

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