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Structural Health Monitoring for Suspension Bridges

Interpretation of Field Measurements

by Yang Deng, Aiqun Li ...

This book presents extensive information on structural health monitoring for suspension bridges. During the past two decades, there have been significant advances in the sensing technologies employed in long-span bridge health monitoring. However, interpretation of the massive monitoring data is still lagging behind. This book establishes a series of measurement interpretation frameworks that ... Read more

124,01 €

This book presents extensive information on structural health monitoring for suspension bridges. During the past two decades, there have been significant advances in the sensing technologies employed in long-span bridge health monitoring. However, interpretation of the massive monitoring data is still lagging behind. This book establishes a series of measurement interpretation frameworks that
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Random Walk In Random And Non-random Environments (Third Edition)

by Pal Revesz ...

The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results — mostly strong theorems which describe the properties of a random walk. The modern problems of the limit theorems of probability theory are treated in the simple case of coin tossing. Taking advantage of this simplicity, the reader is familiarized ... Read more

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The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results — mostly strong theorems which describe the properties of a random walk. The modern problems of the limit theorems of probability theory are treated in the simple case of coin tossing. Taking advantage of this simplicity, the reader is familiarized
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Doing Data Science

Straight Talk from the Frontline

by Cathy O'Neil, Rachel Schutt ...

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... Read more

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Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter
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Statistical Methods for Spatio-Temporal Systems

Edited by Barbel Finkenstadt, Leonhard Held, Valerie Isham ...

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Contributed by leading researchers in the field, each self-contained chapter starts w ... Read more

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Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Contributed by leading researchers in the field, each self-contained chapter starts w
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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

From Statistics to Mathematics

by Weihua Deng, Xudong Wang, Daxin Nie, Xing Liu ...

This book investigates statistical observables for anomalous and nonergodic dynamics, focusing on the dynamical behaviors of particles modelled by non-Brownian stochastic processes in the complex real-world environment.Statistical observables are widely used for anomalous and nonergodic stochastic systems, thus serving as a key to uncover their dynamics. This study explores the cutting edge of ... Read more

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This book investigates statistical observables for anomalous and nonergodic dynamics, focusing on the dynamical behaviors of particles modelled by non-Brownian stochastic processes in the complex real-world environment.Statistical observables are widely used for anomalous and nonergodic stochastic systems, thus serving as a key to uncover their dynamics. This study explores the cutting edge of
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Modelling with Ordinary Differential Equations

A Comprehensive Approach

by Alfio Borzì ...

Series series Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Modelling with Ordinary Differential Equations: A Comprehensive Approach aims to provide a broad and self-contained introduction to the mathematical tools necessary to investigate and apply ODE models. The book starts by establishing the existence of solutions in various settings and analysing their stability properties. The next step is to illustrate modelling issues arising in the calculus of ... Read more

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Modelling with Ordinary Differential Equations: A Comprehensive Approach aims to provide a broad and self-contained introduction to the mathematical tools necessary to investigate and apply ODE models. The book starts by establishing the existence of solutions in various settings and analysing their stability properties. The next step is to illustrate modelling issues arising in the calculus of
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Applied Stochastic Differential Equations

by Simo Särkkä, Arno Solin ...

Series Book 10 - Institute of Mathematical Statistics Textbooks
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical technology and, in particular, their use in methodologies ... Read more

40,59 €

Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical technology and, in particular, their use in methodologies
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Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE

by Nizar Touzi ...

Series Book 29 - Fields Institute Monographs
This book collects some recent developments in stochastic control theory with applications to financial mathematics. We first address standard stochastic control problems from the viewpoint of the recently developed weak dynamic programming principle. A special emphasis is put on the regularity issues and, in particular, on the behavior of the value function near the boundary. We then provide a ... Read more

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This book collects some recent developments in stochastic control theory with applications to financial mathematics. We first address standard stochastic control problems from the viewpoint of the recently developed weak dynamic programming principle. A special emphasis is put on the regularity issues and, in particular, on the behavior of the value function near the boundary. We then provide a
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An Introduction to Measure-Theoretic Probability

by George G. Roussas ...

An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching the basics of measure theoretic probability. This book provides in a concise, yet detailed way, the bulk of the probabilistic tools that a student working toward an advanced degree in statistics, probability and other related areas should be equipped with. This edition requires no prior ... Read more

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An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching the basics of measure theoretic probability. This book provides in a concise, yet detailed way, the bulk of the probabilistic tools that a student working toward an advanced degree in statistics, probability and other related areas should be equipped with. This edition requires no prior
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Quantum Fields and Processes

A Combinatorial Approach

by John Gough, Joachim Kupsch ...

Series series Cambridge Studies in Advanced Mathematics
Wick ordering of creation and annihilation operators is of fundamental importance for computing averages and correlations in quantum field theory and, by extension, in the Hudson–Parthasarathy theory of quantum stochastic processes, quantum mechanics, stochastic processes, and probability. This book develops the unified combinatorial framework behind these examples, starting with the simplest ... Read more

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Wick ordering of creation and annihilation operators is of fundamental importance for computing averages and correlations in quantum field theory and, by extension, in the Hudson–Parthasarathy theory of quantum stochastic processes, quantum mechanics, stochastic processes, and probability. This book develops the unified combinatorial framework behind these examples, starting with the simplest
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Hilbert And Banach Space-valued Stochastic Processes

by Yuichiro Kakihara ...

Series Book 13 - Series On Multivariate Analysis
This is a development of the book entitled Multidimensional Second Order Stochastic Processes. It provides a research expository treatment of infinite-dimensional stationary and nonstationary stochastic processes or time series, based on Hilbert and Banach space-valued second order random variables. Stochastic measures and scalar or operator bimeasures are fully discussed to develop integral ... Read more

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This is a development of the book entitled Multidimensional Second Order Stochastic Processes. It provides a research expository treatment of infinite-dimensional stationary and nonstationary stochastic processes or time series, based on Hilbert and Banach space-valued second order random variables. Stochastic measures and scalar or operator bimeasures are fully discussed to develop integral
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Unbounded Experience In Random Walks With Applications, An

by Michael F Shlesinger ...

This volume comprises the author's account of the development of novel results in random walk theory and its applications during the fractal and chaos revolutions. The early history of probability is presented in an engaging manner, and peppered with pitfalls and paradoxes. Readers will find the introduction of Paul Lévy's work via Mandelbrot's Lévy flights which are featured uniquely as ... Read more

50,76 €

This volume comprises the author's account of the development of novel results in random walk theory and its applications during the fractal and chaos revolutions. The early history of probability is presented in an engaging manner, and peppered with pitfalls and paradoxes. Readers will find the introduction of Paul Lévy's work via Mandelbrot's Lévy flights which are featured uniquely as
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Wahrscheinlichkeiten beim Schafkopf

by GRIN Verlag ...

Facharbeit (Schule) aus dem Jahr 2006 im Fachbereich Mathematik - Stochastik, Note: 1,0 (15 Punkte), , Veranstaltung: Mathematik Leistungskurs, Sprache: Deutsch, Abstract: „Schafkopf“ ist eines der ältesten bekannten Kartenspiele und erfreut sich insbesondere im süddeutschen Raum einer großen Beliebtheit. Wie die meisten anderen Kartenspiele stellt es eine Kombination aus Glücks- und ... Read more

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Facharbeit (Schule) aus dem Jahr 2006 im Fachbereich Mathematik - Stochastik, Note: 1,0 (15 Punkte), , Veranstaltung: Mathematik Leistungskurs, Sprache: Deutsch, Abstract: „Schafkopf“ ist eines der ältesten bekannten Kartenspiele und erfreut sich insbesondere im süddeutschen Raum einer großen Beliebtheit. Wie die meisten anderen Kartenspiele stellt es eine Kombination aus Glücks- und
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Nonequilibrium Statistical Mechanics I

Foundations and Modern Applications

by Carlos Mejía-Monasterio, Lamberto Rondoni ...

Series series Physics and Astronomy (R0)
This textbook offers a clear, unified introduction to nonequilibrium statistical mechanics. It combines the classical foundations of equilibrium and nonequilibrium thermodynamics with the field's latest advances. Key topics include Brownian motion, fluctuations theory, the Boltzmann equation, and probability measures in phase space. A common mathematical framework links linear-response theory, ... Read more

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This textbook offers a clear, unified introduction to nonequilibrium statistical mechanics. It combines the classical foundations of equilibrium and nonequilibrium thermodynamics with the field's latest advances. Key topics include Brownian motion, fluctuations theory, the Boltzmann equation, and probability measures in phase space. A common mathematical framework links linear-response theory,
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Advances on Methodological and Applied Aspects of Probability and Statistics

Edited by N. Balakrishnan ...

This is one of two volumes that sets forth invited papers presented at the International Indian Statistical Association Conference. This volume emphasizes advancements in methodology and applications of probability and statistics. The chapters, representing the ideas of vanguard researchers on the topic, present several different subspecialties, including applied probability, models and ... Read more

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This is one of two volumes that sets forth invited papers presented at the International Indian Statistical Association Conference. This volume emphasizes advancements in methodology and applications of probability and statistics. The chapters, representing the ideas of vanguard researchers on the topic, present several different subspecialties, including applied probability, models and
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Advanced Classical and Quantum Probability Theory with Quantum Field Theory Applications

by Harish Parthasarathy ...

This book is based on three undergraduate and postgraduate courses taught by the author on Matrix theory, Probability theory and Antenna theory over the past several years.It discusses Matrix theory, Probability theory and Antenna theory with solved problems. It will be useful to undergraduate and postgraduate students of Electronics and Communications Engineering.Print edition not for sale in ... Read more

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This book is based on three undergraduate and postgraduate courses taught by the author on Matrix theory, Probability theory and Antenna theory over the past several years.It discusses Matrix theory, Probability theory and Antenna theory with solved problems. It will be useful to undergraduate and postgraduate students of Electronics and Communications Engineering.Print edition not for sale in
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QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

by Antonius B. Dieker, Steven T. Hackman ...

Series series Springer Series in Operations Research and Financial Engineering
This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accurately generating approximate distributions of system performance over time, offering a robust tool for understanding the dynamics of such systems. QPLEX circumvents the curse of dimensionality by ... Read more

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This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accurately generating approximate distributions of system performance over time, offering a robust tool for understanding the dynamics of such systems. QPLEX circumvents the curse of dimensionality by
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Classical and Spatial Stochastic Processes

With Applications to Biology

by Rinaldo B. Schinazi ...

Series series Mathematics and Statistics (R0)
This textbook provides an accessible approach to concepts and applications of stochastic processes ideal for a wide range of readers. This revised third edition features an intuitive reorganization with concrete topics introduced early on which are then used to demonstrate more abstract concepts in later chapters. The author has kept chapters short and independent from each other, with several of ... Read more

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This textbook provides an accessible approach to concepts and applications of stochastic processes ideal for a wide range of readers. This revised third edition features an intuitive reorganization with concrete topics introduced early on which are then used to demonstrate more abstract concepts in later chapters. The author has kept chapters short and independent from each other, with several of
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Counterexamples in Markov Decision Processes

by Alexey Piunovskiy ...

Series Book 6 - Series on Optimization and its Applications
Markov Decision Processes (MDPs) form a cornerstone of applied probability, with over 50 years of rich research history. Throughout this time, numerous foundational books and thousands of journal articles have shaped the field. The central objective of MDP theory is to identify the optimal control strategy for Markov random processes with discrete time. Interestingly, the best control strategies ... Read more

103,23 €

Markov Decision Processes (MDPs) form a cornerstone of applied probability, with over 50 years of rich research history. Throughout this time, numerous foundational books and thousands of journal articles have shaped the field. The central objective of MDP theory is to identify the optimal control strategy for Markov random processes with discrete time. Interestingly, the best control strategies
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Optimal and Robust Estimation

With an Introduction to Stochastic Control Theory, Second Edition

by Frank L. Lewis, Lihua Xie, Dan Popa ...

Series series Automation and Control Engineering
More than a decade ago, world-renowned control systems authority Frank L. Lewis introduced what would become a standard textbook on estimation, under the title Optimal Estimation, used in top universities throughout the world. The time has come for a new edition of this classic text, and Lewis enlisted the aid of two accomplished experts to bring the book completely up to date with the estimation ... Read more

210,05 €

More than a decade ago, world-renowned control systems authority Frank L. Lewis introduced what would become a standard textbook on estimation, under the title Optimal Estimation, used in top universities throughout the world. The time has come for a new edition of this classic text, and Lewis enlisted the aid of two accomplished experts to bring the book completely up to date with the estimation
... Read more
Invariant Markov Processes Under Lie Group Actions

by Ming Liao ...

The purpose of this monograph is to provide a theory of Markov processes that are invariant under the actions of Lie groups, focusing on ways to represent such processes in the spirit of the classical Lévy-Khinchin representation. It interweaves probability theory, topology, and global analysis on manifolds to present the most recent results in a developing area of stochastic analysis. The author ... Read more

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The purpose of this monograph is to provide a theory of Markov processes that are invariant under the actions of Lie groups, focusing on ways to represent such processes in the spirit of the classical Lévy-Khinchin representation. It interweaves probability theory, topology, and global analysis on manifolds to present the most recent results in a developing area of stochastic analysis. The author
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Dynamics of Democratic Elections

A Mathematical Approach to Political Science

by Johannes Müller, Volker Hösel, Aurélien Tellier, Christoph Mohamad-Klotzbach ...

Dynamics of Democratic Elections explores modeling approaches to democratic elections and opinion dynamics at the intersection of mathematics, political science, and computational modeling. The book focuses on relatively simple models, their analysis, and how they perform in real-world applications. In order to make the book easy to navigate, the material is divided into three major parts ... Read more

Was 80,59 € Now 72,05 €

Dynamics of Democratic Elections explores modeling approaches to democratic elections and opinion dynamics at the intersection of mathematics, political science, and computational modeling. The book focuses on relatively simple models, their analysis, and how they perform in real-world applications. In order to make the book easy to navigate, the material is divided into three major parts
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Dynamical Biostatistical Models

by Daniel Commenges, Helene Jacqmin-Gadda ...

Series series Chapman & Hall/CRC Biostatistics Series
Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be ap ... Read more

65,94 €

Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be ap
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Stochastic Neuron Models

by Lawrence M. Ward, Priscilla E. Greenwood ...

Series Book 1.5 - Mathematical Biosciences Institute Lecture Series
This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these ... Read more

47,69 €

This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these
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Recommended For You

Probability eBooks

Structural Health Monitoring for Suspension Bridges

Random Walk In Random And Non-random Environments (Third Edition)

Doing Data Science

Statistical Methods for Spatio-Temporal Systems

Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

Modelling with Ordinary Differential Equations

Applied Stochastic Differential Equations

Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE

An Introduction to Measure-Theoretic Probability

Quantum Fields and Processes

Hilbert And Banach Space-valued Stochastic Processes

Unbounded Experience In Random Walks With Applications, An

Wahrscheinlichkeiten beim Schafkopf

Nonequilibrium Statistical Mechanics I

Advances on Methodological and Applied Aspects of Probability and Statistics

Advanced Classical and Quantum Probability Theory with Quantum Field Theory Applications

QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

Classical and Spatial Stochastic Processes

Counterexamples in Markov Decision Processes

Optimal and Robust Estimation

Invariant Markov Processes Under Lie Group Actions

Dynamics of Democratic Elections

Dynamical Biostatistical Models

Stochastic Neuron Models