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Recommended For You

Methods And Applications Of White Noise Analysis In Interdisciplinary Sciences

by Christopher C Bernido, Maria Victoria Carpio-bernido ...

Analysis, modeling, and simulation for better understanding of diverse complex natural and social phenomena often require powerful tools and analytical methods. Tractable approaches, however, can be developed with mathematics beyond the common toolbox. This book presents the white noise stochastic calculus, originated by T Hida, as a novel and powerful tool in investigating physical and social ... Read more

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Analysis, modeling, and simulation for better understanding of diverse complex natural and social phenomena often require powerful tools and analytical methods. Tractable approaches, however, can be developed with mathematics beyond the common toolbox. This book presents the white noise stochastic calculus, originated by T Hida, as a novel and powerful tool in investigating physical and social
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Empirical Macroeconomics and Statistical Uncertainty

Spatial and Temporal Disaggregation of Regional Economic Indicators

by Mateusz Pipień, Sylwia Roszkowska ...

Series series Routledge Studies in the European Economy
This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation.The empirical analysis focuses mainly on GDP and its growth in the context ... Read more

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This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation.The empirical analysis focuses mainly on GDP and its growth in the context
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Introduction to Queueing Systems with Telecommunication Applications

by Laszlo Lakatos, Laszlo Szeidl, Miklos Telek ...

The book is composed of two main parts: mathematical background and queueing systems with applications. The mathematical background is a self containing introduction to the stochastic processes of the later studies queueing systems. It starts with a quick introduction to probability theory and stochastic processes and continues with chapters on Markov chains and regenerative processes. More recent ... Read more

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The book is composed of two main parts: mathematical background and queueing systems with applications. The mathematical background is a self containing introduction to the stochastic processes of the later studies queueing systems. It starts with a quick introduction to probability theory and stochastic processes and continues with chapters on Markov chains and regenerative processes. More recent
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Optimization Using Evolutionary Algorithms and Metaheuristics

Applications in Engineering

Edited by Kaushik Kumar, J. Paulo Davim ...

Series series Science, Technology, and Management
Recognized as a "Recommended" title by Choice for their April 2021 issue.Choice is a publishing unit at the Association of College & Research Libraries (ACR&L), a division of the American Library Association. Choice has been the acknowledged leader in the provision of objective, high-quality evaluations of nonfiction academic writing.Metaheuristic optimization is a higher-level procedure or ... Read more

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Recognized as a "Recommended" title by Choice for their April 2021 issue.Choice is a publishing unit at the Association of College & Research Libraries (ACR&L), a division of the American Library Association. Choice has been the acknowledged leader in the provision of objective, high-quality evaluations of nonfiction academic writing.Metaheuristic optimization is a higher-level procedure or
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Commodities, Energy and Environmental Finance

Edited by Ronnie Sircar, Michael Ludkovski, René Aïd ...

Series Book 74 - Fields Institute Communications
This volume is a collection of chapters covering the latest developments in applications of financial mathematics and statistics to topics in energy, commodity financial markets and environmental economics. The research presented is based on the presentations and discussions that took place during the Fields Institute Focus Program on Commodities, Energy and Environmental Finance in August 2013. ... Read more

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This volume is a collection of chapters covering the latest developments in applications of financial mathematics and statistics to topics in energy, commodity financial markets and environmental economics. The research presented is based on the presentations and discussions that took place during the Fields Institute Focus Program on Commodities, Energy and Environmental Finance in August 2013.
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Coin-Turning, Random Walks and Inhomogeneous Markov Chains

by János Engländer, Stanislav Volkov ...

This research monograph explores new frontiers in Markov chains. Although time-homogeneous Markov chains are well understood, this is not at all the case with time-inhomogeneous ones. The book, after a review on the classical theory of homogeneous chains, including the electrical network approach, introduces several new models which involve inhomogeneous chains as well as related new types of ... Read more

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This research monograph explores new frontiers in Markov chains. Although time-homogeneous Markov chains are well understood, this is not at all the case with time-inhomogeneous ones. The book, after a review on the classical theory of homogeneous chains, including the electrical network approach, introduces several new models which involve inhomogeneous chains as well as related new types of
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Exercises of Stochastic Processes

by Simone Malacrida ...

In this book, exercises are carried out regarding the following mathematical topics:Markov chains and Markovian stochastic processestime-dependent and time-independent stochastic processesrandom walks and Brownian motionInitial theoretical hints are also presented to make the performance of the exercises understood. ... Read more

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In this book, exercises are carried out regarding the following mathematical topics:Markov chains and Markovian stochastic processestime-dependent and time-independent stochastic processesrandom walks and Brownian motionInitial theoretical hints are also presented to make the performance of the exercises understood.
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Models for Dependent Time Series

by Granville Tunnicliffe Wilson, Marco Reale, John Haywood ...

Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect ... Read more

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Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect
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A Course of Stochastic Analysis

by Alexander Melnikov ...

Series series Mathematics and Statistics (R0)
This thoroughly updated second edition offers a unified, modern pathway from the Kolmogorov foundations of probability to the tools of stochastic calculus—and on to applications in finance, statistics, and risk. With clarity and breadth, it develops martingale and semimartingale theory alongside stochastic differential equations, keeping both discrete- and continuous-time viewpoints in play.What’s ... Read more

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This thoroughly updated second edition offers a unified, modern pathway from the Kolmogorov foundations of probability to the tools of stochastic calculus—and on to applications in finance, statistics, and risk. With clarity and breadth, it develops martingale and semimartingale theory alongside stochastic differential equations, keeping both discrete- and continuous-time viewpoints in play.What’s
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A Basic Course in Measure and Probability

Theory for Applications

by Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras ...

Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in ... Read more

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Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in
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Stochastic Processes

From Applications to Theory

by Pierre Del Moral, Spiridon Penev ...

Series series Chapman & Hall/CRC Texts in Statistical Science
Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such as gambling, finance, physics, signal processing, statistics, fractals, and biology. Written with an important illustrated guide in the beginning, it contains many illustrations, photos and pictures, along with several website links. ... Read more

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Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such as gambling, finance, physics, signal processing, statistics, fractals, and biology. Written with an important illustrated guide in the beginning, it contains many illustrations, photos and pictures, along with several website links.
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Advanced Engineering Mathematics

A Second Course with MatLab

by Dean G. Duffy ...

Series series Advances in Applied Mathematics
Through four previous editions of Advanced Engineering Mathematics with MATLAB, the author presented a wide variety of topics needed by today's engineers. The fifth edition of that book, available now, has been broken into two parts: topics currently needed in mathematics courses and a new stand-alone volume presenting topics not often included in these courses and consequently unknown to ... Read more

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Through four previous editions of Advanced Engineering Mathematics with MATLAB, the author presented a wide variety of topics needed by today's engineers. The fifth edition of that book, available now, has been broken into two parts: topics currently needed in mathematics courses and a new stand-alone volume presenting topics not often included in these courses and consequently unknown to
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Stochastic Networks

by Elena Yudovina, Frank Kelly ...

Series Book 2 - Institute of Mathematical Statistics Textbooks
Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and ... Read more

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Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and
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Generalized Normalizing Flows via Markov Chains

by Paul Lyonel Hagemann, Johannes Hertrich, Gabriele Steidl ...

Series series Elements in Non-local Data Interactions: Foundations and Applications
Normalizing flows, diffusion normalizing flows and variational autoencoders are powerful generative models. This Element provides a unified framework to handle these approaches via Markov chains. The authors consider stochastic normalizing flows as a pair of Markov chains fulfilling some properties, and show how many state-of-the-art models for data generation fit into this framework. Indeed ... Read more

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Normalizing flows, diffusion normalizing flows and variational autoencoders are powerful generative models. This Element provides a unified framework to handle these approaches via Markov chains. The authors consider stochastic normalizing flows as a pair of Markov chains fulfilling some properties, and show how many state-of-the-art models for data generation fit into this framework. Indeed
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Stochastic Modeling of Scientific Data

by Peter Guttorp ...

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, Markov random fields and hidden Markov models in a clear, thoughtful and succinct manner. The distinguishing feature of this work is that, in addition to probability theory, it contains statistical aspects of model fitting and a ... Read more

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Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, Markov random fields and hidden Markov models in a clear, thoughtful and succinct manner. The distinguishing feature of this work is that, in addition to probability theory, it contains statistical aspects of model fitting and a
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The Art Of Probability

by Richard W. Hamming ...

Offering accessible and nuanced coverage, Richard W. Hamming discusses theories of probability with unique clarity and depth. Topics covered include the basic philosophical assumptions, the nature of stochastic methods, and Shannon entropy. One of the best introductions to the topic, The Art of Probability is filled with unique insights and tricks worth knowing. ... Read more

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Offering accessible and nuanced coverage, Richard W. Hamming discusses theories of probability with unique clarity and depth. Topics covered include the basic philosophical assumptions, the nature of stochastic methods, and Shannon entropy. One of the best introductions to the topic, The Art of Probability is filled with unique insights and tricks worth knowing.
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Nonconventional Limit Theorems And Random Dynamics

by Yeor Hafouta, Yuri Kifer ...

The book is devoted to limit theorems for nonconventional sums and arrays. Asymptotic behavior of such sums were first studied in ergodic theory but recently it turned out that main limit theorems of probability theory, such as central, local and Poisson limit theorems can also be obtained for such expressions. In order to obtain sufficiently general local limit theorem, we develop also ... Read more

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The book is devoted to limit theorems for nonconventional sums and arrays. Asymptotic behavior of such sums were first studied in ergodic theory but recently it turned out that main limit theorems of probability theory, such as central, local and Poisson limit theorems can also be obtained for such expressions. In order to obtain sufficiently general local limit theorem, we develop also
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Time Series Analysis

by Henrik Madsen ...

Series series Chapman & Hall/CRC Texts in Statistical Science
With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear models, discusses their theoretical characteristics, and explores the connections among stochastic dynamic models. Emphasizing the time domain description, the author presents theorems to highlight the most ... Read more

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With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear models, discusses their theoretical characteristics, and explores the connections among stochastic dynamic models. Emphasizing the time domain description, the author presents theorems to highlight the most
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Martingales and Markov Chains

Solved Exercises and Elements of Theory

by Paolo Baldi ...

A thorough grounding in Markov chains and martingales is essential in dealing with many problems in applied probability, and is a gateway to the more complex situations encountered in the study of stochastic processes. Exercises are a fundamental and valuable training tool that deepen students' understanding of theoretical principles and prepare th ... Read more

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A thorough grounding in Markov chains and martingales is essential in dealing with many problems in applied probability, and is a gateway to the more complex situations encountered in the study of stochastic processes. Exercises are a fundamental and valuable training tool that deepen students' understanding of theoretical principles and prepare th
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Stochastic Dynamics Of Complex Systems: From Glasses To Evolution

by Paolo Sibani, Henrik Jeldtoft Jensen ...

Series Book 2 - Series On Complexity Science
Dynamical evolution over long time scales is a prominent feature of all the systems we intuitively think of as complex — for example, ecosystems, the brain or the economy. In physics, the term ageing is used for this type of slow change, occurring over time scales much longer than the patience, or indeed the lifetime, of the observer. The main focus of this book is on the stochastic processes ... Read more

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Dynamical evolution over long time scales is a prominent feature of all the systems we intuitively think of as complex — for example, ecosystems, the brain or the economy. In physics, the term ageing is used for this type of slow change, occurring over time scales much longer than the patience, or indeed the lifetime, of the observer. The main focus of this book is on the stochastic processes
... Read more
Phenological Research

Methods for Environmental and Climate Change Analysis

Edited by Irene L. Hudson, Marie R. Keatley ...

As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact.A multidisciplinary science involving many branches of ecology, geography and remote ... Read more

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As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact.A multidisciplinary science involving many branches of ecology, geography and remote
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Chance Encounters: Probability in Education

Edited by M. Borovcnik, R. Kapadia ...

Series Book 12 - Mathematics Education Library
This book has been written to fIll a substantial gap in the current literature in mathemat ical education. Throughout the world, school mathematical curricula have incorporated probability and statistics as new topics. There have been many research papers written on specifIc aspects of teaching, presenting novel and unusual approaches to introducing ideas in the classroom; however, there has been ... Read more

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This book has been written to fIll a substantial gap in the current literature in mathemat ical education. Throughout the world, school mathematical curricula have incorporated probability and statistics as new topics. There have been many research papers written on specifIc aspects of teaching, presenting novel and unusual approaches to introducing ideas in the classroom; however, there has been
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Introduction to Robust Estimation and Hypothesis Testing

by Rand R. Wilcox ...

This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing ... Read more

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This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing
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Applied Linear Algebra, Probability and Statistics

A Volume in Honour of C. R. Rao and Arbind K. Lal

Edited by Ravindra B. Bapat, Manjunatha Prasad Karantha, Stephen J. Kirkland, Samir Kumar Neogy, Sukanta Pati, Simo Puntanen ...

Series series Mathematics and Statistics (R0)
This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in the book feature new findings due to applications of matrix and graph methods. The book also discusses rediscoveries of the subject by using new methods. Dedicated to Prof. Calyampudi Radhakrishna Rao (C.R. Rao) who has completed 100 years of legendary life and continues to ... Read more

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This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in the book feature new findings due to applications of matrix and graph methods. The book also discusses rediscoveries of the subject by using new methods. Dedicated to Prof. Calyampudi Radhakrishna Rao (C.R. Rao) who has completed 100 years of legendary life and continues to
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Recommended For You

Probability eBooks

Methods And Applications Of White Noise Analysis In Interdisciplinary Sciences

Empirical Macroeconomics and Statistical Uncertainty

Introduction to Queueing Systems with Telecommunication Applications

Optimization Using Evolutionary Algorithms and Metaheuristics

Commodities, Energy and Environmental Finance

Coin-Turning, Random Walks and Inhomogeneous Markov Chains

Exercises of Stochastic Processes

Models for Dependent Time Series

A Course of Stochastic Analysis

A Basic Course in Measure and Probability

Stochastic Processes

Advanced Engineering Mathematics

Stochastic Networks

Generalized Normalizing Flows via Markov Chains

Stochastic Modeling of Scientific Data

The Art Of Probability

Nonconventional Limit Theorems And Random Dynamics

Time Series Analysis

Martingales and Markov Chains

Stochastic Dynamics Of Complex Systems: From Glasses To Evolution

Phenological Research

Chance Encounters: Probability in Education

Introduction to Robust Estimation and Hypothesis Testing

Applied Linear Algebra, Probability and Statistics