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Recommended For You

High Dimensional Probability X

The Będlewo Volume

Edited by Radosław Adamczak, Nathael Gozlan, Karim Lounici, Mokshay Madiman, Florence Merlevède, Elisabeth Werner ...

Series series Springer Nature Proceedings excluding Computer Science
This volume collects selected papers from the Tenth High Dimensional Probability conference, held from June 12 to 16, 2023 in Będlewo, Poland. These papers cover a wide range of topics and demonstrate how high-dimensional probability remains an active area of research with applications across many mathematical disciplines. Topics covered include:The Gram-Schmidt walk algorithm;Variance bounds ... Read more

R3 472,30

This volume collects selected papers from the Tenth High Dimensional Probability conference, held from June 12 to 16, 2023 in Będlewo, Poland. These papers cover a wide range of topics and demonstrate how high-dimensional probability remains an active area of research with applications across many mathematical disciplines. Topics covered include:The Gram-Schmidt walk algorithm;Variance bounds
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An Introduction to Stochastic Processes in Physics

by Don S. Lemons ...

This "lucid, masterfully written introduction to an often difficult subject . . . belongs on the bookshelf of every student of statistical physics" (Dr. Brian J. Albright, Applied Physics Division, Los Alamos National Laboratory).This book provides an accessible introduction to stochastic processes in physics and describes the basic mathematical tools of the trade: probability, random walks, and ... Read more

R259,66 or Free with Kobo Plus

This "lucid, masterfully written introduction to an often difficult subject . . . belongs on the bookshelf of every student of statistical physics" (Dr. Brian J. Albright, Applied Physics Division, Los Alamos National Laboratory).This book provides an accessible introduction to stochastic processes in physics and describes the basic mathematical tools of the trade: probability, random walks, and
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An Introduction to the Theory of Reproducing Kernel Hilbert Spaces

by Vern I. Paulsen, Mrinal Raghupathi ...

Series Book 152 - Cambridge Studies in Advanced Mathematics
Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral operators. This unique text offers a unified overview of the topic, providing detailed examples of applications, as well as covering the fundamental ... Read more

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Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral operators. This unique text offers a unified overview of the topic, providing detailed examples of applications, as well as covering the fundamental
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Analysis and Probability

by Aurel Spataru ...

Probability theory is a rapidly expanding field and is used in many areas of science and technology. Beginning from a basis of abstract analysis, this mathematics book develops the knowledge needed for advanced students to develop a complex understanding of probability. The first part of the book systematically presents concepts and results from analysis before embarking on the study of ... Read more

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Probability theory is a rapidly expanding field and is used in many areas of science and technology. Beginning from a basis of abstract analysis, this mathematics book develops the knowledge needed for advanced students to develop a complex understanding of probability. The first part of the book systematically presents concepts and results from analysis before embarking on the study of
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Mathematical Modeling

Branching Beyond Calculus

by Crista Arangala, Nicolas S. Luke, Karen A. Yokley ...

Series series Textbooks in Mathematics
Mathematical Modeling: Branching Beyond Calculus reveals the versatility of mathematical modeling. The authors present the subject in an attractive manner and flexibley manner. Students will discover that the topic not only focuses on math, but biology, engineering, and both social and physical sciences.The book is written in a way to meet the needs of any modeling course. Each chapter includes ... Read more

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Mathematical Modeling: Branching Beyond Calculus reveals the versatility of mathematical modeling. The authors present the subject in an attractive manner and flexibley manner. Students will discover that the topic not only focuses on math, but biology, engineering, and both social and physical sciences.The book is written in a way to meet the needs of any modeling course. Each chapter includes
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Random Walks in the Quarter Plane

Algebraic Methods, Boundary Value Problems, Applications to Queueing Systems and Analytic Combinatorics

by Guy Fayolle, Roudolf Iasnogorodski, Vadim Malyshev ...

Series Book 40 - Probability Theory and Stochastic Modelling
This monograph aims to promote original mathematical methods to determine the invariant measure of two-dimensional random walks in domains with boundaries. Such processes arise in numerous applications and are of interest in several areas of mathematical research, such as Stochastic Networks, Analytic Combinatorics, and Quantum Physics. This second edition consists of two parts.Part I is a revised ... Read more

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This monograph aims to promote original mathematical methods to determine the invariant measure of two-dimensional random walks in domains with boundaries. Such processes arise in numerous applications and are of interest in several areas of mathematical research, such as Stochastic Networks, Analytic Combinatorics, and Quantum Physics. This second edition consists of two parts.Part I is a revised
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The Cramér–Lundberg Model and Its Variants

A Queueing Perspective

by Michel Mandjes, Onno Boxma ...

Series series Mathematics and Statistics (R0)
This book offers a comprehensive examination of the Cramér–Lundberg model, which is the most extensively researched model in ruin theory. It covers the fundamental dynamics of an insurance company's surplus level in great detail, presenting a thorough analysis of the ruin probability and related measures for both the standard model and its variants.Providing a systematic and self-contained ... Read more

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This book offers a comprehensive examination of the Cramér–Lundberg model, which is the most extensively researched model in ruin theory. It covers the fundamental dynamics of an insurance company's surplus level in great detail, presenting a thorough analysis of the ruin probability and related measures for both the standard model and its variants.Providing a systematic and self-contained
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Approximate Iterative Algorithms

by Anthony Louis Almudevar ...

Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation. This volume presents methods for the study of approximate iterative algorithms, providing tools for the derivation of error bounds and convergence rates, and for the optimal design of such ... Read more

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Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation. This volume presents methods for the study of approximate iterative algorithms, providing tools for the derivation of error bounds and convergence rates, and for the optimal design of such
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Reliability Modeling With Applications: Essays In Honor Of Professor Toshio Nakagawa On His 70th Birthday

by Syouji Nakamura, Cun Hua Qian, Mingchih Chen ...

Reliability modeling has been a major concern for engineers and managers engaged in high quality system designs. This book presents the recent advancement in reliability theory and reliability engineering.Starting from maintenance policies, the book introduces reliability analysis to systems using stochastic processes to study their optimization problems. In this book, the authors will illustrate ... Read more

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Reliability modeling has been a major concern for engineers and managers engaged in high quality system designs. This book presents the recent advancement in reliability theory and reliability engineering.Starting from maintenance policies, the book introduces reliability analysis to systems using stochastic processes to study their optimization problems. In this book, the authors will illustrate
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Risk And Stochastics: Ragnar Norberg

by Pauline Barrieu ...

with an autobiography from Ragnar NorbergThe Risk and Stochastics Conference, held at the Royal Statistical Society in April 2015, brought together academics from the worlds of actuarial science, stochastic calculus, finance and statistics to celebrate the achievements of Professor Ragnar Norberg as he turned 70. After the conference, Ragnar Norberg suddenly fell very ill and passed away; this ... Read more

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with an autobiography from Ragnar NorbergThe Risk and Stochastics Conference, held at the Royal Statistical Society in April 2015, brought together academics from the worlds of actuarial science, stochastic calculus, finance and statistics to celebrate the achievements of Professor Ragnar Norberg as he turned 70. After the conference, Ragnar Norberg suddenly fell very ill and passed away; this
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Stochastic Processes with R

An Introduction

by Olga Korosteleva ...

Series series Chapman & Hall/CRC Texts in Statistical Science
Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practical guide to simulated trajectories and real-life applications for stochastic processes. The light yet detailed text provides a solid foundation that is an ideal companion for undergraduate statistics students looking to familiarize themselves with ... Read more

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Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practical guide to simulated trajectories and real-life applications for stochastic processes. The light yet detailed text provides a solid foundation that is an ideal companion for undergraduate statistics students looking to familiarize themselves with
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Truth, Possibility and Probability

New Logical Foundations of Probability and Statistical Inference

by R. Chuaqui ...

Series Book 166 - North-Holland Mathematics Studies
Anyone involved in the philosophy of science is naturally drawn into the study of the foundations of probability. Different interpretations of probability, based on competing philosophical ideas, lead to different statistical techniques, and frequently to mutually contradictory consequences.This unique book presents a new interpretation of probability, rooted in the traditional interpretation that ... Read more

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Anyone involved in the philosophy of science is naturally drawn into the study of the foundations of probability. Different interpretations of probability, based on competing philosophical ideas, lead to different statistical techniques, and frequently to mutually contradictory consequences.This unique book presents a new interpretation of probability, rooted in the traditional interpretation that
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Stochastic Simulation Optimization For Discrete Event Systems: Perturbation Analysis, Ordinal Optimization And Beyond

by Chun-hung Chen, Qing-shan Jia, Loo Hay Lee ...

Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a ... Read more

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Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a
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Stochastic Thermodynamic Treatment of Thermal Anisotropy

by Olga Movilla Miangolarra ...

Series series Physics and Astronomy (R0)
This thesis advances our understanding of how thermal anisotropy can be exploited to extract work through a mechanism that is quite distinct from the classical Carnot heat engine. Anisotropy, the presence of thermal or chemical gradients, is ubiquitous in the real world and powers the cascade of processes that sustain life. The thesis quantifies, for the first time, the maximum amount of power and ... Read more

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This thesis advances our understanding of how thermal anisotropy can be exploited to extract work through a mechanism that is quite distinct from the classical Carnot heat engine. Anisotropy, the presence of thermal or chemical gradients, is ubiquitous in the real world and powers the cascade of processes that sustain life. The thesis quantifies, for the first time, the maximum amount of power and
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Signal Processing

A Mathematical Approach, Second Edition

by Charles L. Byrne ...

Series series Chapman & Hall/CRC Monographs and Research Notes in Mathematics
Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics-including familiarity with Fourier series, matrices, probab ... Read more

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Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics-including familiarity with Fourier series, matrices, probab
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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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Model Theory of Stochastic Processes

Lecture Notes in Logic 14

by Sergio Fajardo, H. Jerome Keisler ...

This book presents new research in probability theory using ideas from mathematical logic. It is a general study of stochastic processes on adapted probability spaces, employing the concept of similarity of stochastic processes based on the notion of adapted distribution. The authors use ideas from model theory and methods from nonstandard analysis ... Read more

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This book presents new research in probability theory using ideas from mathematical logic. It is a general study of stochastic processes on adapted probability spaces, employing the concept of similarity of stochastic processes based on the notion of adapted distribution. The authors use ideas from model theory and methods from nonstandard analysis
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Tropical Intraseasonal Variability and the Stochastic Skeleton Method

by Andrew J. Majda, Samuel N. Stechmann, Shengqian Chen, H. Reed Ogrosky, Sulian Thual ...

Series series SpringerBriefs in Mathematics of Planet Earth
In this text, modern applied mathematics and physical insight are used to construct the simplest and first nonlinear dynamical model for the Madden-Julian oscillation (MJO), i.e. the stochastic skeleton model. This model captures the fundamental features of the MJO and offers a theoretical prediction of its structure, leading to new detailed methods to identify it in observational data. The text ... Read more

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In this text, modern applied mathematics and physical insight are used to construct the simplest and first nonlinear dynamical model for the Madden-Julian oscillation (MJO), i.e. the stochastic skeleton model. This model captures the fundamental features of the MJO and offers a theoretical prediction of its structure, leading to new detailed methods to identify it in observational data. The text
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Mean Field Games

Cetraro, Italy 2019

by Yves Achdou, Pierre Cardaliaguet, François Delarue, Alessio Porretta, Filippo Santambrogio ...

Series series Mathematics and Statistics (R0)
This volume provides an introduction to the theory of Mean Field Games, suggested by J.-M. Lasry and P.-L. Lions in 2006 as a mean-field model for Nash equilibria in the strategic interaction of a large number of agents.Besides giving an accessible presentation of the main features of mean-field game theory, the volume offers an overview of recent developments which explore several important ... Read more

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This volume provides an introduction to the theory of Mean Field Games, suggested by J.-M. Lasry and P.-L. Lions in 2006 as a mean-field model for Nash equilibria in the strategic interaction of a large number of agents.Besides giving an accessible presentation of the main features of mean-field game theory, the volume offers an overview of recent developments which explore several important
... Read more
Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes

Edited by Hermine Biermé ...

Series series Mathematics and Statistics (R0)
This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes. Based on lectures given at the Stochastic Geometry Days held by the Stochastic Geometry Research Group from 2019 to 2022, the book opens with an introduction to Russo–Seymour–Welsh theory for the study of percolation, before going on to explore random ... Read more

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This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes. Based on lectures given at the Stochastic Geometry Days held by the Stochastic Geometry Research Group from 2019 to 2022, the book opens with an introduction to Russo–Seymour–Welsh theory for the study of percolation, before going on to explore random
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Free Probability and Random Matrices

by James A. Mingo, Roland Speicher ...

Series Book 35 - Fields Institute Monographs
This volume opens the world of free probability to a wide variety of readers. From its roots in the theory of operator algebras, free probability has intertwined with non-crossing partitions, random matrices, applications in wireless communications, representation theory of large groups, quantum groups, the invariant subspace problem, large deviations, subfactors, and beyond. This book puts a ... Read more

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This volume opens the world of free probability to a wide variety of readers. From its roots in the theory of operator algebras, free probability has intertwined with non-crossing partitions, random matrices, applications in wireless communications, representation theory of large groups, quantum groups, the invariant subspace problem, large deviations, subfactors, and beyond. This book puts a
... Read more
Ejercicios de Procesos Estocásticos

by Simone Malacrida ...

En este libro se realizan ejercicios sobre los siguientes temas matemáticos:Cadenas de Markov y procesos estocásticos markovianosprocesos estocásticos dependientes e independientes del tiempopaseos aleatorios y movimiento brownianoTambién se presentan indicaciones teóricas iniciales para que se comprenda la realización de los ejercicios. ... Read more

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En este libro se realizan ejercicios sobre los siguientes temas matemáticos:Cadenas de Markov y procesos estocásticos markovianosprocesos estocásticos dependientes e independientes del tiempopaseos aleatorios y movimiento brownianoTambién se presentan indicaciones teóricas iniciales para que se comprenda la realización de los ejercicios.
... Read more
Introduction to Probability Models

by Sheldon M. Ross ...

Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic and nonrigorous, and attempts to develop in students an intuitive feel for the subject that enables him or her to think probabilistically. The other approach attempts a rigorous ... Read more

R1 770,61

Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic and nonrigorous, and attempts to develop in students an intuitive feel for the subject that enables him or her to think probabilistically. The other approach attempts a rigorous
... Read more
Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control

by Serkan Eryilmaz ...

Discrete stochastic models are tools that allow us to understand, control, and optimize engineering systems and processes. This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications.The book describes discrete stochastic models along ... Read more

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Discrete stochastic models are tools that allow us to understand, control, and optimize engineering systems and processes. This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications.The book describes discrete stochastic models along
... Read more

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Recommended For You

Probability eBooks

High Dimensional Probability X

An Introduction to Stochastic Processes in Physics

An Introduction to the Theory of Reproducing Kernel Hilbert Spaces

Analysis and Probability

Mathematical Modeling

Random Walks in the Quarter Plane

The Cramér–Lundberg Model and Its Variants

Approximate Iterative Algorithms

Reliability Modeling With Applications: Essays In Honor Of Professor Toshio Nakagawa On His 70th Birthday

Risk And Stochastics: Ragnar Norberg

Stochastic Processes with R

Truth, Possibility and Probability

Stochastic Simulation Optimization For Discrete Event Systems: Perturbation Analysis, Ordinal Optimization And Beyond

Stochastic Thermodynamic Treatment of Thermal Anisotropy

Signal Processing

Nonequilibrium Statistical Mechanics I

Model Theory of Stochastic Processes

Tropical Intraseasonal Variability and the Stochastic Skeleton Method

Mean Field Games

Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes

Free Probability and Random Matrices

Ejercicios de Procesos Estocásticos

Introduction to Probability Models

Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control