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Recommended For You

Three Classes Of Nonlinear Stochastic Partial Differential Equations

by Jie Xiong ...

The study of measure-valued processes in random environments has seen some intensive research activities in recent years whereby interesting nonlinear stochastic partial differential equations (SPDEs) were derived. Due to the nonlinearity and the non-Lipschitz continuity of their coefficients, new techniques and concepts have recently been developed for the study of such SPDEs. These include the ... Read more

RM 115.49

The study of measure-valued processes in random environments has seen some intensive research activities in recent years whereby interesting nonlinear stochastic partial differential equations (SPDEs) were derived. Due to the nonlinearity and the non-Lipschitz continuity of their coefficients, new techniques and concepts have recently been developed for the study of such SPDEs. These include the
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Physics and Finance

by Volker Ziemann ...

Series series Physics and Astronomy (R0)
This book introduces physics students to concepts and methods of finance. Despite being perceived as quite distant from physics, finance shares a number of common methods and ideas, usually related to noise and uncertainties. Juxtaposing the key methods to applications in both physics and finance articulates both differences and common features, this gives students a deeper understanding of the ... Read more

RM 209.59

This book introduces physics students to concepts and methods of finance. Despite being perceived as quite distant from physics, finance shares a number of common methods and ideas, usually related to noise and uncertainties. Juxtaposing the key methods to applications in both physics and finance articulates both differences and common features, this gives students a deeper understanding of the
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Stochastic Systems with Time Delay

Probabilistic and Thermodynamic Descriptions of non-Markovian Processes far From Equilibrium

by Sarah A.M. Loos ...

Series series Mathematics and Statistics (R0)
The nonequilibrium behavior of nanoscopic and biological systems, which are typically strongly fluctuating, is a major focus of current research. Lately, much progress has been made in understanding such systems from a thermodynamic perspective. However, new theoretical challenges emerge when the fluctuating system is additionally subject to time delay, e.g. due to the presence of feedback loops. ... Read more

RM 628.89

The nonequilibrium behavior of nanoscopic and biological systems, which are typically strongly fluctuating, is a major focus of current research. Lately, much progress has been made in understanding such systems from a thermodynamic perspective. However, new theoretical challenges emerge when the fluctuating system is additionally subject to time delay, e.g. due to the presence of feedback loops.
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Handbook of Differential Equations: Evolutionary Equations

Edited by C.M. Dafermos, Eduard Feireisl ...

Series Book 3 - Handbook of Differential Equations: Evolutionary Equations
The material collected in this volume reflects the active present of this area of mathematics, ranging from the abstract theory of gradient flows to stochastic representations of non-linear parabolic PDE's.Articles will highlight the present as well as expected future directions of development of the field with particular emphasis on applications. The article by Ambrosio and Savaré discussesthe ... Read more

RM 917.49

The material collected in this volume reflects the active present of this area of mathematics, ranging from the abstract theory of gradient flows to stochastic representations of non-linear parabolic PDE's.Articles will highlight the present as well as expected future directions of development of the field with particular emphasis on applications. The article by Ambrosio and Savaré discussesthe
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Probabilistic Foundations of Statistical Network Analysis

by Harry Crane ...

Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dynamic network models, network sampling, and network statistics such as sparsity and power law, all of which ... Read more

RM 270.48

Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dynamic network models, network sampling, and network statistics such as sparsity and power law, all of which
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Stochastic Processes: Harmonizable Theory

by Malempati Madhusudana Rao ...

Series Book 12 - Series On Multivariate Analysis
The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass. It also gives the structural and some key applications in detail. These include Levy's Brownian motion, a probabilistic proof of the longstanding Riemann's hypothesis, random fields indexed by LCA and hypergroups, ... Read more

RM 359.99

The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass. It also gives the structural and some key applications in detail. These include Levy's Brownian motion, a probabilistic proof of the longstanding Riemann's hypothesis, random fields indexed by LCA and hypergroups,
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Univariate Families of Distributions

by 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 ... Read more

RM 270.48

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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Random Simplices

From Beta-Type Distributions to High-Dimensional Volumes

by Zakhar Kabluchko, David Albert Steigenberger, Christoph Thäle ...

Series series Mathematics and Statistics (R0)
This book provides an introduction to the theory of random beta-type simplices and polytopes, exploring their connections to key research areas in stochastic and convex geometry. The random points defining the beta-type simplices, a class of random simplices introduced by Ruben and Miles, follow beta, beta-prime, or Gaussian distributions in the Euclidean space, and need not be identically ... Read more

RM 314.49

This book provides an introduction to the theory of random beta-type simplices and polytopes, exploring their connections to key research areas in stochastic and convex geometry. The random points defining the beta-type simplices, a class of random simplices introduced by Ruben and Miles, follow beta, beta-prime, or Gaussian distributions in the Euclidean space, and need not be identically
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Multiple Stopping Problems

Unilateral and Multilateral Approaches

by Georgy Sofronov, Krzysztof Szajowski ...

This book presents the theory of rational decisions involving the selection of stopping times in observed discrete-time stochastic processes, both by single and multiple decision-makers. Readers will become acquainted with the models, strategies, and applications of these models.It begins with an examination of selected models framed as stochastic optimization challenges, emphasizing the critical ... Read more

RM 250.88

This book presents the theory of rational decisions involving the selection of stopping times in observed discrete-time stochastic processes, both by single and multiple decision-makers. Readers will become acquainted with the models, strategies, and applications of these models.It begins with an examination of selected models framed as stochastic optimization challenges, emphasizing the critical
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Probability on Graphs

Random Processes on Graphs and Lattices

by Geoffrey Grimmett ...

Series Book 8 - Institute of Mathematical Statistics Textbooks
This introduction to some of the principal models in the theory of disordered systems leads the reader through the basics, to the very edge of contemporary research, with the minimum of technical fuss. Topics covered include random walk, percolation, self-avoiding walk, interacting particle systems, uniform spanning tree, random graphs, as well as the Ising, Potts, and random-cluster models for ... Read more

RM 170.39

This introduction to some of the principal models in the theory of disordered systems leads the reader through the basics, to the very edge of contemporary research, with the minimum of technical fuss. Topics covered include random walk, percolation, self-avoiding walk, interacting particle systems, uniform spanning tree, random graphs, as well as the Ising, Potts, and random-cluster models for
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An Introduction to Measure-Theoretic Probability

by George G. Roussas ...

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

RM 338.79

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

From Statistics to Mathematics

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

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

RM 254.80

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

From Discrete to Continuous Time

by Kevin J. Hastings ...

Series series Chapman and Hall/CRC Financial Mathematics Series
Financial Mathematics: From Discrete to Continuous Time is a study of the mathematical ideas and techniques that are important to the two main arms of the area of financial mathematics: portfolio optimization and derivative valuation. The text is authored for courses taken by advanced undergraduates, MBA, or other students in quantitative finance programs.The approach will be mathematically ... Read more

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Financial Mathematics: From Discrete to Continuous Time is a study of the mathematical ideas and techniques that are important to the two main arms of the area of financial mathematics: portfolio optimization and derivative valuation. The text is authored for courses taken by advanced undergraduates, MBA, or other students in quantitative finance programs.The approach will be mathematically
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Stochastic Modeling and Mathematical Statistics

A Text for Statisticians and Quantitative Scientists

by Francisco J. Samaniego ...

Series series Chapman & Hall/CRC Texts in Statistical Science
This book is intended as a text for a two-quarter or two-semester post-calculus introduction to probability and mathematical statistics for undergraduate students in their junior or senior year, and also for graduate students in the quantitative sciences (e.g., agriculture, computer science, ecology, economics, engineering, epidemiology, genetics, psychology, and many others). The book designed to ... Read more

RM 548.88

This book is intended as a text for a two-quarter or two-semester post-calculus introduction to probability and mathematical statistics for undergraduate students in their junior or senior year, and also for graduate students in the quantitative sciences (e.g., agriculture, computer science, ecology, economics, engineering, epidemiology, genetics, psychology, and many others). The book designed to
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Markov Processes

by James R. Kirkwood ...

Series series Advances in Applied Mathematics
Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes. The text is designed to be understandable to students who have taken an undergraduate probability course without needing an instructor to fill in any gaps.Clear, rigorous, and intuitive, the second edition builds on the successful first, used in courses and as a reference for those who ... Read more

RM 380.26

Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes. The text is designed to be understandable to students who have taken an undergraduate probability course without needing an instructor to fill in any gaps.Clear, rigorous, and intuitive, the second edition builds on the successful first, used in courses and as a reference for those who
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Statistical Inference based on the Density Power Divergence

The Robustness Perspective

by Ayanendranath Basu, Abhik Ghosh, Leandro Pardo ...

All scientists, researchers, and data analysts, who handle real data as part of their scientific explorations, have had, from time to time, to face to the problem of dealing with data which do not exactly conform to the model which was expected to describe these data. Often such non-conformity is manifested through outliers. Classical techniques, which are usually optimal for "pure" data, ... Read more

RM 784.12

All scientists, researchers, and data analysts, who handle real data as part of their scientific explorations, have had, from time to time, to face to the problem of dealing with data which do not exactly conform to the model which was expected to describe these data. Often such non-conformity is manifested through outliers. Classical techniques, which are usually optimal for "pure" data,
... Read more
Applied Stochastic Modelling

by Byron J.T. Morgan ...

Series series Chapman & Hall/CRC Texts in Statistical Science
Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. Along with an updated bibliography and ... Read more

RM 399.86

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. Along with an updated bibliography and
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Introduction to Probability with R

by Kenneth Baclawski ...

Series series Chapman & Hall/CRC Texts in Statistical Science
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they ar ... Read more

RM 262.64

Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they ar
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Modern Survey Sampling

by Arijit Chaudhuri ...

Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. The author lucidly develops and presents numerous approaches. He details recent developments and explores fresh and unseen problems, hitting upon possible solutions.The text covers current research output in a student ... Read more

RM 372.42

Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. The author lucidly develops and presents numerous approaches. He details recent developments and explores fresh and unseen problems, hitting upon possible solutions.The text covers current research output in a student
... Read more
Continuous Stochastic Calculus with Applications to Finance

by Michael Meyer ...

The prolonged boom in the US and European stock markets has led to increased interest in the mathematics of security markets, most notably in the theory of stochastic integration. This text gives a rigorous development of the theory of stochastic integration as it applies to the valuation of derivative securities. It includes all the tools necessar ... Read more

RM 344.97

The prolonged boom in the US and European stock markets has led to increased interest in the mathematics of security markets, most notably in the theory of stochastic integration. This text gives a rigorous development of the theory of stochastic integration as it applies to the valuation of derivative securities. It includes all the tools necessar
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Handbook of Survival Analysis

Edited by John P. Klein, Hans C. van Houwelingen, Joseph G. Ibrahim, Thomas H. Scheike ...

Series series Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian ... Read more

RM 399.86

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian
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A Course on Queueing Models

by Joti Lal Jain, Sri Gopal Mohanty, Walter Böhm ...

The application of engineering principles in divergent fields such as management science and communications as well as the advancement of several approaches in theory and computation have led to growing interest in queueing models, creating the need for a comprehensive text. Emphasizing Markovian structures and the techniques that occur in differen ... Read more

RM 352.82

The application of engineering principles in divergent fields such as management science and communications as well as the advancement of several approaches in theory and computation have led to growing interest in queueing models, creating the need for a comprehensive text. Emphasizing Markovian structures and the techniques that occur in differen
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Introduction to Time Series Modeling with Applications in R

by Genshiro Kitagawa ...

Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Praise for the first edition:[This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework.–Statistics in MedicineWhat distinguishes this book from comparable introductory texts is the use of state-space ... Read more

RM 266.56

Praise for the first edition:[This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework.–Statistics in MedicineWhat distinguishes this book from comparable introductory texts is the use of state-space
... Read more
Point Processes and Their Statistical Inference

by Alan Karr ...

Series series Probability: Pure and Applied
Maintaining the excellent features that made the first edition so popular, this outstanding reference/text presents the only comprehensive treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;,.tial point processes. Thoroughly updated and revised to reflect changes since publication of the firstedition, ... Read more

RM 270.48

Maintaining the excellent features that made the first edition so popular, this outstanding reference/text presents the only comprehensive treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;,.tial point processes. Thoroughly updated and revised to reflect changes since publication of the firstedition,
... Read more

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Recommended For You

Probability eBooks

Three Classes Of Nonlinear Stochastic Partial Differential Equations

Physics and Finance

Stochastic Systems with Time Delay

Handbook of Differential Equations: Evolutionary Equations

Probabilistic Foundations of Statistical Network Analysis

Stochastic Processes: Harmonizable Theory

Univariate Families of Distributions

Random Simplices

Multiple Stopping Problems

Probability on Graphs

An Introduction to Measure-Theoretic Probability

Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

Financial Mathematics

Stochastic Modeling and Mathematical Statistics

Markov Processes

Statistical Inference based on the Density Power Divergence

Applied Stochastic Modelling

Introduction to Probability with R

Modern Survey Sampling

Continuous Stochastic Calculus with Applications to Finance

Handbook of Survival Analysis

A Course on Queueing Models

Introduction to Time Series Modeling with Applications in R

Point Processes and Their Statistical Inference