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Information Theory Meets Power Laws - Stochastic Processes and Language Models

! Information Theory Meets Power Laws: Stochastic Processes and Language Models presents readers with a novel subtype of a probabilistic approach to;

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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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Stochastic Models, Information Theory, and Lie Groups, Volume 1

This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby;

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Stochastic Models, Information Theory, and Lie Groups, Volume 2: Analytic Methods and Modern Applications

This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby;

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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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Random Summation

, information properties of probability distributions, and asymptotic behavior of doubly stochastic Poisson processes. Random Summation: Limit Theorems;

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Random Summation

, information properties of probability distributions, and asymptotic behavior of doubly stochastic Poisson processes. Random Summation: Limit Theorems;

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Sojourns And Extremes Of Stochastic Processes

Sojourns and Extremes of Stochastic Processes is a research monograph in the area of probability theory. During the past thirty years;

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Sojourns And Extremes of Stochastic Processes

Sojourns and Extremes of Stochastic Processes is a research monograph in the area of probability theory. During the past thirty years;

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Measure, Probability, and Mathematical Finance

Approach presents important concepts and results in measure theory, probability theory, stochastic processes, and stochastic calculus. Measure;

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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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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Introduction to Stochastic Models

This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such;

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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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Generalized Stochastic Processes

in Probability Theory and Spectral Theory of Stochastic Processes plus a well-choosen set of problems and solutions round this compact textbook off.;

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Probability and Stochastic Processes for Physicists

mathematicians when it comes to the topic of probability and stochastic processes. The opening four chapters elucidate the basic concepts of probability;

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Probability and Stochastic Processes for Physicists

mathematicians when it comes to the topic of probability and stochastic processes. The opening four chapters elucidate the basic concepts of probability;

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Stochastic Processes

stochastic processes is indispensable. As well as providing readers with useful reliability studies and applications, Stochastic Processes also;

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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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Optimal Stochastic Scheduling

theory. This book provides a comprehensive and unified coverage of studies in stochastic scheduling. The objective is two-fold: (i) to summarize;

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Qualitative And Asymptotic Analysis Of Differential Equations With Random Perturbations

the theory of random processes and from the classic theory of differential equations.This work focuses on the approach to stochastic equations;

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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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Stochastic Biomathematical Models

systems. Recent advances in stochastic analysis and increasing computing power facilitate the analysis of more biophysically realistic models, and;

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Stochastic Modelling For Systems Biology

, most researchers in the field have limited knowledge of stochastic process theory. The stochastic processes formalism provides a beautiful;

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Optimal Statistical Inference in Financial Engineering

testing hypothesis and discriminant analysis for independent observations. It then explores stochastic processes, many famous time series models;

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Point Process Calculus in Time and Space

) point processes.The applications covered in this text (queueing, information theory, stochastic geometry and signal analysis) have been chosen;

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