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Examples In Markov Decision Processes

by Alexey B Piunovskiy ...

Series Book 2 - Imperial College Press Optimization Series
This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions ... Read more

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This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions
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Fundamentals of Computational Neuroscience

Third Edition

by Thomas P. Trappenberg ...

Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the ... Read more

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Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the
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Modern Time Series Forecasting with Python

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by Manu Joseph, Jeffrey Tackes ...

Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesApply ML and global models to improve forecasting accuracy through practical ... Read more

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Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesApply ML and global models to improve forecasting accuracy through practical
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Pandemics: Insurance and Social Protection

Edited by María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin‬‬‬ ...

Series series Springer Actuarial
This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic.Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing ... Read more

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This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic.Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing
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Introduction to Probability, Second Edition

by Joseph K. Blitzstein, Jessica Hwang ...

Series series Chapman & Hall/CRC Texts in Statistical Science
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, ... Read more

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Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics,
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New Models and Methods in Dynamic Portfolio Optimization

by Lijun Bo, Xiang Yu ...

Series Book 7 - Series in Quantitative Finance
This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the authors' recent progress in their research on several interesting, featured issues of dynamic portfolio optimization problems with default contagion, tracking benchmark, consumption habit, and reinforcement learning.These models include the default contagion model with infinite ... Read more

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This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the authors' recent progress in their research on several interesting, featured issues of dynamic portfolio optimization problems with default contagion, tracking benchmark, consumption habit, and reinforcement learning.These models include the default contagion model with infinite
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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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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

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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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Control of Partial Differential Equations

by Jean-Michel Coron, Tatsien Li, Zhiqiang Wang ...

This book is mainly a collection of lecture notes for the 2021 LIASFMA International Graduate School on Applied Mathematics. It provides the readers some important results on the theory, the methods, and the application in the field of 'Control of Partial Differential Equations'. It is useful for researchers and graduate students in mathematics or control theory, and for mathematicians or ... Read more

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This book is mainly a collection of lecture notes for the 2021 LIASFMA International Graduate School on Applied Mathematics. It provides the readers some important results on the theory, the methods, and the application in the field of 'Control of Partial Differential Equations'. It is useful for researchers and graduate students in mathematics or control theory, and for mathematicians or
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Infinite Dimensional And Finite Dimensional Stochastic Equations And Applications In Physics

by Wilfried Grecksch, Hannelore Lisei ...

This volume contains survey articles on various aspects of stochastic partial differential equations (SPDEs) and their applications in stochastic control theory and in physics.The topics presented in this volume are:This book is intended not only for graduate students in mathematics or physics, but also for mathematicians, mathematical physicists, theoretical physicists, and science researchers ... Read more

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This volume contains survey articles on various aspects of stochastic partial differential equations (SPDEs) and their applications in stochastic control theory and in physics.The topics presented in this volume are:This book is intended not only for graduate students in mathematics or physics, but also for mathematicians, mathematical physicists, theoretical physicists, and science researchers
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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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Nonequilibrium Statistical Mechanics I

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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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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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Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes

by Aleksand Janicki, A. Weron ...

Series series Chapman & Hall/CRC Pure and Applied Mathematics
Presents new computer methods in approximation, simulation, and visualization for a host of alpha-stable stochastic processes. ... Read more

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Presents new computer methods in approximation, simulation, and visualization for a host of alpha-stable stochastic processes.
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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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Developments in Nonstandard Mathematics

by Nigel J Cutland, Vitor Neves, A F Oliveira, Jose Sousa-Pinto ...

Series series Chapman & Hall/CRC Research Notes in Mathematics Series
This book contains expository papers and articles reporting on recent research by leading world experts in nonstandard mathematics, arising from the International Colloquium on Nonstandard Mathematics held at the University of Aveiro, Portugal in July 1994. Nonstandard mathematics originated with Abraham Robinson, and the body of ideas that have developed from this theory of nonstandard analysis ... Read more

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This book contains expository papers and articles reporting on recent research by leading world experts in nonstandard mathematics, arising from the International Colloquium on Nonstandard Mathematics held at the University of Aveiro, Portugal in July 1994. Nonstandard mathematics originated with Abraham Robinson, and the body of ideas that have developed from this theory of nonstandard analysis
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Earthquakes, Tsunamis and Nuclear Risks

Prediction and Assessment Beyond the Fukushima Accident

Edited by Katsuhiro Kamae ...

This book covers seismic probabilistic risk assessment (S-PRA) and related studies which have become more important to increase the safety of nuclear facilities against earthquakes and tsunamis in the face of the many uncertainties after the Fukushima accident. The topics are (1) Active faults and active tectonics important for seismic hazard assessment of nuclear facilities,(2) Seismic source ... Read more

Free

This book covers seismic probabilistic risk assessment (S-PRA) and related studies which have become more important to increase the safety of nuclear facilities against earthquakes and tsunamis in the face of the many uncertainties after the Fukushima accident. The topics are (1) Active faults and active tectonics important for seismic hazard assessment of nuclear facilities,(2) Seismic source
... Read more
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

₹3,700.47

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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Random Toeplitz Functionals and Their Applications

by Mamikon S. Ginovyan ...

Series series Mathematics and Statistics (R0)
This book presents recent findings on central and non-central limit theorems for Toeplitz and tapered Toeplitz random quadratic functionals of stationary processes, with applications in spectral-based statistical inference. It focuses on Gaussian, orthogonal increment-driven, and Lévy-driven linear stationary processes with memory, in both discrete and continuous time.Toeplitz matrices and ... Read more

₹10,761.59

This book presents recent findings on central and non-central limit theorems for Toeplitz and tapered Toeplitz random quadratic functionals of stationary processes, with applications in spectral-based statistical inference. It focuses on Gaussian, orthogonal increment-driven, and Lévy-driven linear stationary processes with memory, in both discrete and continuous time.Toeplitz matrices and
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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

₹5,318.37

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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Recommended For You

Probability eBooks

Examples In Markov Decision Processes

Fundamentals of Computational Neuroscience

Modern Time Series Forecasting with Python

Pandemics: Insurance and Social Protection

Introduction to Probability, Second Edition

New Models and Methods in Dynamic Portfolio Optimization

Methods And Applications Of White Noise Analysis In Interdisciplinary Sciences

Empirical Macroeconomics and Statistical Uncertainty

Introduction to Queueing Systems with Telecommunication Applications

Counterexamples in Markov Decision Processes

Control of Partial Differential Equations

Infinite Dimensional And Finite Dimensional Stochastic Equations And Applications In Physics

Optimization Using Evolutionary Algorithms and Metaheuristics

Commodities, Energy and Environmental Finance

Coin-Turning, Random Walks and Inhomogeneous Markov Chains

Nonequilibrium Statistical Mechanics I

Exercises of Stochastic Processes

Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes

Models for Dependent Time Series

Developments in Nonstandard Mathematics

Earthquakes, Tsunamis and Nuclear Risks

A Course of Stochastic Analysis

Random Toeplitz Functionals and Their Applications

A Basic Course in Measure and Probability