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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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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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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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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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Modern Time Series Forecasting with Python

Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

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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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

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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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Evolution Equations

Edited by Gisele Ruiz Goldstein, Rainer Nagel, Silvia Romanelli ...

Series series Lecture Notes in Pure and Applied Mathematics
Celebrating the work of renowned mathematician Jerome A. Goldstein, this reference compiles original research on the theory and application of evolution equations to stochastics, physics, engineering, biology, and finance. The text explores a wide range of topics in linear and nonlinear semigroup theory, operator theory, functional analysis, and li ... Read more

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Celebrating the work of renowned mathematician Jerome A. Goldstein, this reference compiles original research on the theory and application of evolution equations to stochastics, physics, engineering, biology, and finance. The text explores a wide range of topics in linear and nonlinear semigroup theory, operator theory, functional analysis, and li
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Deterministic and Stochastic Optimal Control and Inverse Problems

Edited by Baasansuren Jadamba, Akhtar A. Khan, Stanisław Migórski, Miguel Sama ...

Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant and emerging research area that has found numerous applications. A related problem of paramount importance is the optimal control problem for stochastic differential equations.This edited volume comprises invited contributions from world ... Read more

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Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant and emerging research area that has found numerous applications. A related problem of paramount importance is the optimal control problem for stochastic differential equations.This edited volume comprises invited contributions from world
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Random Summation

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by Boris V. Gnedenko, Victor Yu. Korolev ...

This book provides an introduction to the asymptotic theory of random summation, combining a strict exposition of the foundations of this theory and recent results. It also includes a description of its applications to solving practical problems in hardware and software reliability, insurance, finance, and more. The authors show how practice interacts with theory, and how new mathematical ... Read more

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This book provides an introduction to the asymptotic theory of random summation, combining a strict exposition of the foundations of this theory and recent results. It also includes a description of its applications to solving practical problems in hardware and software reliability, insurance, finance, and more. The authors show how practice interacts with theory, and how new mathematical
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Reliability Assessment of Safety and Production Systems

Analysis, Modelling, Calculations and Case Studies

by Jean-Pierre Signoret, Alain Leroy ...

Series series Engineering (R0)
This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative analysis, modelling, and probabilistic calculations of safety and production systems.Drawing on the authors’ extensive experience within the field of reliability engineering, it addresses and discusses a variety of topics, including:• Background and ... Read more

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This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative analysis, modelling, and probabilistic calculations of safety and production systems.Drawing on the authors’ extensive experience within the field of reliability engineering, it addresses and discusses a variety of topics, including:• Background and
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Intelligent Control

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by Kaushik Das Sharma, Amitava Chatterjee, Anjan Rakshit ...

Series series Cognitive Intelligence and Robotics
This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation ... Read more

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This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation
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An Introduction to Continuous-Time Stochastic Processes

Theory, Models, and Applications to Finance, Biology, and Medicine

by Vincenzo Capasso, David Bakstein ...

Series series Mathematics and Statistics (R0)
This textbook, now in its fourth edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, it features concrete examples of modeling real-world problems from biology, medicine, finance, and insurance using stochastic methods. No previous ... Read more

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This textbook, now in its fourth edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, it features concrete examples of modeling real-world problems from biology, medicine, finance, and insurance using stochastic methods. No previous
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Understanding Behaviour of Distributed Systems Using mCRL2

by Muhammad Atif, Jan Friso Groote ...

Series series Engineering (R0)
This book helps readers easily learn basic model checking by presenting examples, exercises and case studies. The toolset mCRL2 provides a language to specify the behaviour of distributed systems, in particular where there is concurrency with inter-process communication. This language allows us to analyse a distributed system with respect to its functional requirements. For example, biological ... Read more

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This book helps readers easily learn basic model checking by presenting examples, exercises and case studies. The toolset mCRL2 provides a language to specify the behaviour of distributed systems, in particular where there is concurrency with inter-process communication. This language allows us to analyse a distributed system with respect to its functional requirements. For example, biological
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Lectures On Mathematical Finance And Related Topics

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Rigorous mathematical finance relies strongly on two additional fields: optimal stopping and stochastic analysis. This book is the first one which presents not only main results in the mathematical finance but also these 'related topics' with all proofs and in a self-contained form. The book treats both discrete and continuous time mathematical finance. Some topics, such as Israeli (game) ... Read more

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Nonequilibrium and Irreversibility

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Series series Physics and Astronomy (R0)
This 2nd edition of the book focuses on the properties of stationary states in chaotic systems of particles or fluids, setting aside the theory of how these states are achieved. The second edition has been thoroughly revised and includes numerous corrections. It incorporates recent findings, with particular emphasis on the equivalence between irreversible and reversible equations. The ongoing ... Read more

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This 2nd edition of the book focuses on the properties of stationary states in chaotic systems of particles or fluids, setting aside the theory of how these states are achieved. The second edition has been thoroughly revised and includes numerous corrections. It incorporates recent findings, with particular emphasis on the equivalence between irreversible and reversible equations. The ongoing
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Dynamic Random Walks

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by Nadine Guillotin-Plantard, Rene Schott ...

The aim of this book is to report on the progress realized in probability theory in the field of dynamic random walks and to present applications in computer science, mathematical physics and finance. Each chapter contains didactical material as well as more advanced technical sections. Few appendices will help refreshing memories (if necessary!).· New probabilistic model, new results in ... Read more

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The aim of this book is to report on the progress realized in probability theory in the field of dynamic random walks and to present applications in computer science, mathematical physics and finance. Each chapter contains didactical material as well as more advanced technical sections. Few appendices will help refreshing memories (if necessary!).· New probabilistic model, new results in
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Probability and Random Processes

With Applications to Signal Processing and Communications

by Scott Miller ...

Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry. The book includes unique chapters on narrowband random processes and simulation techniques. It also describes applications in digital communications, information theory, coding ... Read more

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Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry. The book includes unique chapters on narrowband random processes and simulation techniques. It also describes applications in digital communications, information theory, coding
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Dirichlet Forms and Related Topics

In Honor of Masatoshi Fukushima’s Beiju, IWDFRT 2022, Osaka, Japan, August 22–26

Edited by Zhen-Qing Chen, Masayoshi Takeda, Toshihiro Uemura ...

Series series Springer Nature Proceedings excluding Computer Science
This conference proceeding contains 27 peer-reviewed invited papers from leading experts as well as young researchers all over the world in the related fields that Professor Fukushima has made important contributions to.These 27 papers cover a wide range of topics in probability theory, ranging from Dirichlet form theory, Markov processes, heat kernel estimates, entropy on Wiener spaces, analysis ... Read more

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This conference proceeding contains 27 peer-reviewed invited papers from leading experts as well as young researchers all over the world in the related fields that Professor Fukushima has made important contributions to.These 27 papers cover a wide range of topics in probability theory, ranging from Dirichlet form theory, Markov processes, heat kernel estimates, entropy on Wiener spaces, analysis
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Infinite Dimensional Analysis, Quantum Probability and Applications

QP41 Conference, Al Ain, UAE, March 28–April 1, 2021

Edited by Luigi Accardi, Farrukh Mukhamedov, Ahmed Al Rawashdeh ...

Series series Springer Nature Proceedings excluding Computer Science
This proceedings volume gathers selected, peer-reviewed papers presented at the 41st International Conference on Infinite Dimensional Analysis, Quantum Probability and Related Topics (QP41) that was virtually held at the United Arab Emirates University (UAEU) in Al Ain, Abu Dhabi, from March 28th to April 1st, 2021. The works cover recent developments in quantum probability and infinite ... Read more

₹10,100.79

This proceedings volume gathers selected, peer-reviewed papers presented at the 41st International Conference on Infinite Dimensional Analysis, Quantum Probability and Related Topics (QP41) that was virtually held at the United Arab Emirates University (UAEU) in Al Ain, Abu Dhabi, from March 28th to April 1st, 2021. The works cover recent developments in quantum probability and infinite
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Infinite-dimensional Analysis: Operators In Hilbert Space; Stochastic Calculus Via Representations, And Duality Theory

by Palle Jorgensen, James Tian ...

The purpose of this book is to make available to beginning graduate students, and to others, some core areas of analysis which serve as prerequisites for new developments in pure and applied areas. We begin with a presentation (Chapters 1 and 2) of a selection of topics from the theory of operators in Hilbert space, algebras of operators, and their corresponding spectral theory. This is a ... Read more

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The purpose of this book is to make available to beginning graduate students, and to others, some core areas of analysis which serve as prerequisites for new developments in pure and applied areas. We begin with a presentation (Chapters 1 and 2) of a selection of topics from the theory of operators in Hilbert space, algebras of operators, and their corresponding spectral theory. This is a
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Bad Science

Die dunkle Seite der Statistik

by Florian Meinfelder, Rebekka Kluge ...

DIE SENSIBILITÄT FÜR DEN MISSBRAUCH STATISTISCHER METHODEN ERHÖHENUnter dem Begriff „Bad Science“ verstehen die Autoren und Herausgeber dieses Bandes sowohl schlampiges Vorgehen beim wissenschaftlichen Arbeiten, als auch auf Grund von Vorurteilen zu einseitig geratene Untersuchungen, bis hin zum Fälschen von Ergebnissen.Die Beiträge dieses Sammelbandes basieren auf Seminararbeiten des ... Read more

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DIE SENSIBILITÄT FÜR DEN MISSBRAUCH STATISTISCHER METHODEN ERHÖHENUnter dem Begriff „Bad Science“ verstehen die Autoren und Herausgeber dieses Bandes sowohl schlampiges Vorgehen beim wissenschaftlichen Arbeiten, als auch auf Grund von Vorurteilen zu einseitig geratene Untersuchungen, bis hin zum Fälschen von Ergebnissen.Die Beiträge dieses Sammelbandes basieren auf Seminararbeiten des
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Stochastic Optimization in Insurance

A Dynamic Programming Approach

by Pablo Azcue, Nora Muler ...

Series series SpringerBriefs in Quantitative Finance
The main purpose of the book is to show how a viscosity approach can be used to tackle control problems in insurance. The problems covered are the maximization of survival probability as well as the maximization of dividends in the classical collective risk model. The authors consider the possibility of controlling the risk process by reinsurance as well as by investments. They show that optimal ... Read more

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The main purpose of the book is to show how a viscosity approach can be used to tackle control problems in insurance. The problems covered are the maximization of survival probability as well as the maximization of dividends in the classical collective risk model. The authors consider the possibility of controlling the risk process by reinsurance as well as by investments. They show that optimal
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Problems and Solutions in Stochastic Calculus with Applications

by Patrik Albin, Kais Hamza, Fima C Klebaner ...

Problems and Solutions in Stochastic Calculus with Applications exposes readers to simple ideas and proofs in stochastic calculus and its applications. It is intended as a companion to the successful original title Introduction to Stochastic Calculus with Applications (Third Edition) by Fima Klebaner. The current book is authored by three active researchers in the fields of probability, stochastic ... Read more

₹4,624.64

Problems and Solutions in Stochastic Calculus with Applications exposes readers to simple ideas and proofs in stochastic calculus and its applications. It is intended as a companion to the successful original title Introduction to Stochastic Calculus with Applications (Third Edition) by Fima Klebaner. The current book is authored by three active researchers in the fields of probability, stochastic
... Read more
Optimizing Engineering Problems through Heuristic Techniques

by Kaushik Kumar, Divya Zindani, J. Paulo Davim ...

Series series Science, Technology, and Management
This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of ... Read more

₹7,385.52

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of
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Recommended For You

Probability eBooks

Fundamentals of Computational Neuroscience

Examples In Markov Decision Processes

Introduction to Probability, Second Edition

Pandemics: Insurance and Social Protection

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Dynamics of Democratic Elections

Evolution Equations

Deterministic and Stochastic Optimal Control and Inverse Problems

Random Summation

Reliability Assessment of Safety and Production Systems

Intelligent Control

An Introduction to Continuous-Time Stochastic Processes

Understanding Behaviour of Distributed Systems Using mCRL2

Lectures On Mathematical Finance And Related Topics

Nonequilibrium and Irreversibility

Dynamic Random Walks

Probability and Random Processes

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Infinite Dimensional Analysis, Quantum Probability and Applications

Infinite-dimensional Analysis: Operators In Hilbert Space; Stochastic Calculus Via Representations, And Duality Theory

Bad Science

Stochastic Optimization in Insurance

Problems and Solutions in Stochastic Calculus with Applications

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