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de Boris L. Rozovsky, Sergey V. Lototsky ...

Series Libro 89 - Probability Theory and Stochastic Modelling
This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations.The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal ... Leer más

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This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations.The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal
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Mathematical Mysteries in the Natural World

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Why are there more poor people with small bank accounts than rich people with big bank accounts? Why are there more small planets and stars than big ones in the cosmos? And why are there more small rivers than big rivers, and more harmless tremors than devastating earthquakes? Empirical examinations of real-life data overwhelmingly confirm the existence of such uneven size proportions in favor of ... Leer más

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Why are there more poor people with small bank accounts than rich people with big bank accounts? Why are there more small planets and stars than big ones in the cosmos? And why are there more small rivers than big rivers, and more harmless tremors than devastating earthquakes? Empirical examinations of real-life data overwhelmingly confirm the existence of such uneven size proportions in favor of
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Random Walks and Heat Kernels on Graphs

de Martin T. Barlow ...

Series Libro 438 - London Mathematical Society Lecture Note Series
This introduction to random walks on infinite graphs gives particular emphasis to graphs with polynomial volume growth. It offers an overview of analytic methods, starting with the connection between random walks and electrical resistance, and then proceeding to study the use of isoperimetric and Poincaré inequalities. The book presents rough isometries and looks at the properties of a graph that ... Leer más

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This introduction to random walks on infinite graphs gives particular emphasis to graphs with polynomial volume growth. It offers an overview of analytic methods, starting with the connection between random walks and electrical resistance, and then proceeding to study the use of isoperimetric and Poincaré inequalities. The book presents rough isometries and looks at the properties of a graph that
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The Probability Companion for Engineering and Computer Science

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This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo ... Leer más

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This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo
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Stochastic Geometry for Wireless Networks

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Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated ... Leer más

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Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated
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Stochastics in Fluids

Edición de Tomáš Bodnár, Giovanni P. Galdi, Šárka Nečasová ...

Series series Mathematics and Statistics (R0)
This book explores state-of-the-art developments in theoretical and applied fluid mechanics with a focus on stochastics and their role in mathematical analysis and numerical simulation of different types of flows. Chapters are based on lectures given at the summer school “Stochastics in Fluids,” held in Prague in August 2023. With its accessible and flexible presentation, readers will be motivated ... Leer más

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This book explores state-of-the-art developments in theoretical and applied fluid mechanics with a focus on stochastics and their role in mathematical analysis and numerical simulation of different types of flows. Chapters are based on lectures given at the summer school “Stochastics in Fluids,” held in Prague in August 2023. With its accessible and flexible presentation, readers will be motivated
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Measuring Uncertainty within the Theory of Evidence

de Simona Salicone, Marco Prioli ...

Series series Springer Series in Measurement Science and Technology
This monograph considers the evaluation and expression of measurement uncertainty within the mathematical framework of the Theory of Evidence. With a new perspective on the metrology science, the text paves the way for innovative applications in a wide range of areas. Building on Simona Salicone’s Measurement Uncertainty: An Approach via the Mathematical Theory of Evidence, the material covers ... Leer más

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Monte Carlo and Quasi-Monte Carlo Methods

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Edición de Art B. Owen, Peter W. Glynn ...

Series Libro 241 - Springer Proceedings in Mathematics & Statistics
This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at Stanford University (California) in August 2016. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers.The proceedings include articles based on invited lectures as well as carefully ... Leer más

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This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at Stanford University (California) in August 2016. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers.The proceedings include articles based on invited lectures as well as carefully
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Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE

de Nizar Touzi ...

Series Libro 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 ... Leer más

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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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The Non-uniform Riemann Approach to Stochastic Integration

de Varayu Boonpogkrong, Tuan Seng Chew, Tin Lam Toh ...

Series Libro 16 - Series in Real Analysis
This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers who are familiar with undergraduate calculus and want to have an easy access to the theory of stochastic integral will find most of this book pleasantly readable, especially the first four chapters. The references to the theory of classical stochastic integral and stochastic ... Leer más

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This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers who are familiar with undergraduate calculus and want to have an easy access to the theory of stochastic integral will find most of this book pleasantly readable, especially the first four chapters. The references to the theory of classical stochastic integral and stochastic
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From Probability to Finance

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Series series Mathematical Lectures from Peking University
This volume presents a collection of lecture notes of mini-courses taught at BICMR Summer School of Financial Mathematics, from May 29 to June 9, 2017. Each chapter is self-contained and corresponds to one mini-course which deals with a distinguished topic, such as branching processes, enlargement of filtrations, Hawkes processes, copula models and valuation adjustment analysis, whereas the global ... Leer más

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This volume presents a collection of lecture notes of mini-courses taught at BICMR Summer School of Financial Mathematics, from May 29 to June 9, 2017. Each chapter is self-contained and corresponds to one mini-course which deals with a distinguished topic, such as branching processes, enlargement of filtrations, Hawkes processes, copula models and valuation adjustment analysis, whereas the global
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Analisi Statistica Multivariata

de Stefania Mignani, Angela Montanari ...

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Infinite Dimensional Analysis, Quantum Probability and Applications

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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 ... Leer más

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Optimisation in Synchromodal Logistics

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Series series Business and Management (R0)
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Markov-Modulated Brownian Motion

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Series series Mathematics and Statistics (R0)
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This book explores regime-switching Brownian motion, a class of stochastic processes widely used in fields such as mathematical finance, risk theory, queueing theory, and epidemiological modeling. These processes are studied within the Markovian regime-switching framework, which captures dynamic environments characterized by shifts between different states or "regimes"—for example, economic cycles
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Tensor Methods in Statistics

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A pioneering monograph on tensor methods applied to distributional problems arising in statistics, this work constitutes a valuable reference for graduate students and professional statisticians. Prerequisites include some knowledge of linear algebra, eigenvalue decompositions, and linear models as well as likelihood functions and likelihood ratio statistics.Index notation is the favored mode of
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Stochastic Processes

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de 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. ... Leer más

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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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Statistical Methods for Spatial Data Analysis

de Oliver Schabenberger, Carol A. Gotway ...

Series series Chapman & Hall/CRC Texts in Statistical Science
Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers ... Leer más

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Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers
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Understanding Behaviour of Distributed Systems Using mCRL2

de 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 ... Leer más

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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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Optimal and Robust Estimation

With an Introduction to Stochastic Control Theory, Second Edition

de 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 ... Leer más

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Numerical Methods for Extreme Responses of Dynamical Systems

Finite Dimensional Models

de Mircea D. Grigoriu ...

Series series Mathematics and Statistics (R0)
This book constructs input finite dimensional (FD) models that are amendable for numerical calculations and provides accurate representations for responses of dynamical systems to these inputs, i.e., numerical solutions of stochastic equations. It establishes conditions under which numerical solutions of these equations deliver accurate estimates of extreme responses of dynamical systems that are ... Leer más

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This book constructs input finite dimensional (FD) models that are amendable for numerical calculations and provides accurate representations for responses of dynamical systems to these inputs, i.e., numerical solutions of stochastic equations. It establishes conditions under which numerical solutions of these equations deliver accurate estimates of extreme responses of dynamical systems that are
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Urn Models and Their Applications in Finance

de Masato Hisakado ...

Series series Business and Management (R0)
This fascinating book begins with fundamental definitions and notations of urn models before moving on to stochastic processes and applications of urn models in the field of finance. The Pólya urn model is simple but has rich content and diverse applications because it includes correlations. Applications of Pólya models such as phase transitions in nonlinear Pólya models are studied here, and the ... Leer más

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This fascinating book begins with fundamental definitions and notations of urn models before moving on to stochastic processes and applications of urn models in the field of finance. The Pólya urn model is simple but has rich content and diverse applications because it includes correlations. Applications of Pólya models such as phase transitions in nonlinear Pólya models are studied here, and the
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Structured Stochastic Matrices of M/G/1 Type and Their Applications

de Marcel F. Neuts ...

Series series Probability: Pure and Applied
This book deals with Markov chains and Markov renewal processes (M/G/1 type). It discusses numerical difficulties which are apparently inherent in the classical analysis of a variety of stochastic models by methods of complex analysis. ... Leer más

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This book deals with Markov chains and Markov renewal processes (M/G/1 type). It discusses numerical difficulties which are apparently inherent in the classical analysis of a variety of stochastic models by methods of complex analysis.
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Univariate Families of Distributions

de Muhammad Qaiser Shahbaz, Saman Hanif Shahbaz, Mohammad Ahsanullah ...

This book offers a comprehensive exploration of popular continuous distribution families, including Exponentiated, Beta, Kumaraswamy, T-X, and Transmuted. It details methods for developing new distribution families, their properties, and inference. Practical applications of the members of families are enhanced by R code for maximum likelihood estimation.This resource is invaluable for studies into ... Leer más

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This book offers a comprehensive exploration of popular continuous distribution families, including Exponentiated, Beta, Kumaraswamy, T-X, and Transmuted. It details methods for developing new distribution families, their properties, and inference. Practical applications of the members of families are enhanced by R code for maximum likelihood estimation.This resource is invaluable for studies into
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eBooks de Probabilidad

Stochastic Evolution Systems

Mathematical Mysteries in the Natural World

Random Walks and Heat Kernels on Graphs

The Probability Companion for Engineering and Computer Science

Stochastic Geometry for Wireless Networks

Stochastics in Fluids

Measuring Uncertainty within the Theory of Evidence

Monte Carlo and Quasi-Monte Carlo Methods

Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE

The Non-uniform Riemann Approach to Stochastic Integration

From Probability to Finance

Analisi Statistica Multivariata

Infinite Dimensional Analysis, Quantum Probability and Applications

Optimisation in Synchromodal Logistics

Markov-Modulated Brownian Motion

Tensor Methods in Statistics

Stochastic Processes

Statistical Methods for Spatial Data Analysis

Understanding Behaviour of Distributed Systems Using mCRL2

Optimal and Robust Estimation

Numerical Methods for Extreme Responses of Dynamical Systems

Urn Models and Their Applications in Finance

Structured Stochastic Matrices of M/G/1 Type and Their Applications

Univariate Families of Distributions