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Recommended For You

Measures, Integrals and Martingales

by René L. Schilling ...

A concise yet elementary introduction to measure and integration theory, which are vital in many areas of mathematics, including analysis, probability, mathematical physics and finance. In this highly successful textbook, core ideas of measure and integration are explored, and martingales are used to develop the theory further. Other topics are also covered such as Jacobi's transformation theorem, ... Read more

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A concise yet elementary introduction to measure and integration theory, which are vital in many areas of mathematics, including analysis, probability, mathematical physics and finance. In this highly successful textbook, core ideas of measure and integration are explored, and martingales are used to develop the theory further. Other topics are also covered such as Jacobi's transformation theorem,
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Stochastic Processes, Finance And Control: A Festschrift In Honor Of Robert J Elliott

by Samuel N Cohen, Dilip B Madan, Tak Kuen Siu, Hailiang Yang ...

Series Book 1 - Advances In Statistics, Probability And Actuarial Science
This book consists of a series of new, peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering. Paper contributors include colleagues, collaborators and former students of Robert Elliott, many of whom are world-leading experts and have made fundamental and significant contributions to these ... Read more

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This book consists of a series of new, peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering. Paper contributors include colleagues, collaborators and former students of Robert Elliott, many of whom are world-leading experts and have made fundamental and significant contributions to these
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Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE

by Nizar Touzi ...

Series Book 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 ... Read more

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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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Selected Contributions on Statistics and Data Science in Latin America

33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1−5

Edited by Isadora Antoniano-Villalobos, Ramsés H. Mena, Manuel Mendoza, Lizbeth Naranjo, Luis E. Nieto-Barajas ...

Series series Springer Nature Proceedings excluding Computer Science
The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as “big ... Read more

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The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as “big
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Order, Disorder And Criticality: Advanced Problems Of Phase Transition Theory - Volume 6

by Yurij Holovatch ...

This book is the sixth volume of reviews on advanced problems of phase transitions and critical phenomena, with the first five volumes appearing in 2004, 2007, 2012, 2015, and 2018. It aims to provide an overview of those aspects of criticality and related topics that have attracted much attention due to the recent contributions. The six chapters discuss criticality of complex systems, where the ... Read more

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This book is the sixth volume of reviews on advanced problems of phase transitions and critical phenomena, with the first five volumes appearing in 2004, 2007, 2012, 2015, and 2018. It aims to provide an overview of those aspects of criticality and related topics that have attracted much attention due to the recent contributions. The six chapters discuss criticality of complex systems, where the
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20th International Probabilistic Workshop

IPW 2024

Edited by José C. Matos, Paulo B. Lourenço, Daniel V. Oliveira, Jorge Branco, Dirk Proske, Rui A. Silva, Hélder S. Sousa ...

Series series Springer Nature Proceedings excluding Computer Science
This volume presents the proceedings of the 20th International Probabilistic Workshop (IPW), which was held in Guimarães, Portugal on May 8-10, 2024. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs ... Read more

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This volume presents the proceedings of the 20th International Probabilistic Workshop (IPW), which was held in Guimarães, Portugal on May 8-10, 2024. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs
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Fundamentals of Stochastic Signals, Systems and Estimation Theory

With Worked Examples

by Branko Kovačević, Željko Đurović, Zoran Banjac ...

Series series Engineering (R0)
Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or ... Read more

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Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or
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Multi-Level Bayesian Models for Environment Perception

by Csaba Benedek ...

This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level interpretation of the observed static or dynamic environment. To ensure a sound theoretical basis of the new models, the surveys and algorithmic ... Read more

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This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level interpretation of the observed static or dynamic environment. To ensure a sound theoretical basis of the new models, the surveys and algorithmic
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The Probability Companion for Engineering and Computer Science

by Adam Prügel-Bennett ...

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 ... Read more

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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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Diffusion in Random Fields

Applications to Transport in Groundwater

by Nicolae Suciu ...

Series series Geosystems Mathematics
This book presents, in an accessible and self-consistent way, the theory of diffusion in random velocity fields, together with robust numerical simulation approaches. The focus is on transport processes in natural porous media, with applications to contaminant transport in groundwater. Starting from basic information on stochastic processes, more challenging issues are subsequently addressed, such ... Read more

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This book presents, in an accessible and self-consistent way, the theory of diffusion in random velocity fields, together with robust numerical simulation approaches. The focus is on transport processes in natural porous media, with applications to contaminant transport in groundwater. Starting from basic information on stochastic processes, more challenging issues are subsequently addressed, such
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Dirichlet Forms Methods for Poisson Point Measures and Lévy Processes

With Emphasis on the Creation-Annihilation Techniques

by Nicolas Bouleau, Laurent Denis ...

Series Book 76 - Probability Theory and Stochastic Modelling
A simplified approach to Malliavin calculus adapted to Poisson random measures is developed and applied in this book. Called the “lent particle method” it is based on perturbation of the position of particles. Poisson random measures describe phenomena involving random jumps (for instance in mathematical finance) or the random distribution of particles (as in statistical physics). Thanks to the ... Read more

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A simplified approach to Malliavin calculus adapted to Poisson random measures is developed and applied in this book. Called the “lent particle method” it is based on perturbation of the position of particles. Poisson random measures describe phenomena involving random jumps (for instance in mathematical finance) or the random distribution of particles (as in statistical physics). Thanks to the
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Information Geometry

by Arni S.R. Srinivasa Rao, C.R. Rao, Angelo Plastino ...

Series Book 45 - Handbook of Statistics
The subject of information geometry blends several areas of statistics, computer science, physics, and mathematics. The subject evolved from the groundbreaking article published by legendary statistician C.R. Rao in 1945. His works led to the creation of Cramer-Rao bounds, Rao distance, and Rao-Blackawellization. Fisher-Rao metrics and Rao distances play a very important role in geodesics, ... Read more

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The subject of information geometry blends several areas of statistics, computer science, physics, and mathematics. The subject evolved from the groundbreaking article published by legendary statistician C.R. Rao in 1945. His works led to the creation of Cramer-Rao bounds, Rao distance, and Rao-Blackawellization. Fisher-Rao metrics and Rao distances play a very important role in geodesics,
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Studies in the Theory of Random Processes

by A. V. Skorokhod ...

Series series Dover Books on Mathematics
This text is devoted to the development of certain probabilistic methods in the specific field of stochastic differential equations and limit theorems for Markov processes. Specialists, researchers, and students in the field of probability will find it a source of important theorems as well as a remarkable amount of advanced material in compact form.The treatment begins by introducing the basic ... Read more

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This text is devoted to the development of certain probabilistic methods in the specific field of stochastic differential equations and limit theorems for Markov processes. Specialists, researchers, and students in the field of probability will find it a source of important theorems as well as a remarkable amount of advanced material in compact form.The treatment begins by introducing the basic
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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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Applied Probability and Stochastic Processes

Edited by V. C. Joshua, S. R. S. Varadhan, Vladimir M. Vishnevsky ...

Series series Infosys Science Foundation Series
This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7–10 January 2019. It showcases high-quality research conducted in the field of applied probability and stochastic processes by focusing on techniques for the modelling and analysis of systems evolving with time. Further, it ... Read more

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This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7–10 January 2019. It showcases high-quality research conducted in the field of applied probability and stochastic processes by focusing on techniques for the modelling and analysis of systems evolving with time. Further, it
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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

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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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Statistics for Finance

by Erik Lindström, Henrik Madsen, Jan Nygaard Nielsen ...

Series series Chapman & Hall/CRC Texts in Statistical Science
Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover ... Read more

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Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover
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Asymptotics, Nonparametrics, and Time Series

Edited by Subir Ghosh ...

"Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models." ... Read more

R1 821,33

"Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models."
... Read more
Stochastic Methods in Scientific Computing

From Foundations to Advanced Techniques

by Massimo D'Elia, Kurt Langfeld, Biagio Lucini ...

Series series Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable ... Read more

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Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable
... Read more
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

R1 872,64

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
Set-Indexed Martingales

by Ely Merzbach, Gail Ivanoff ...

Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Set-Indexed Martingales offers a unique, comprehensive development of a general theory of Martingales indexed by a family of sets. The authors establish-for the first time-an appropriate framework that provides a suitable structure for a theory of Martingales with enough generality to include many interesting examples. Developed from first principles, the theory brings together the theories of ... Read more

R1 513,46

Set-Indexed Martingales offers a unique, comprehensive development of a general theory of Martingales indexed by a family of sets. The authors establish-for the first time-an appropriate framework that provides a suitable structure for a theory of Martingales with enough generality to include many interesting examples. Developed from first principles, the theory brings together the theories of
... Read more
Regularity Theory and Stochastic Flows for Parabolic ISPDES

by Franco Flandoli ...

The book treats two topics in the theory of stochastic partial differential equations: space-regularity of solutions and existence of stochastic flows. The equations considered in the book are linear parabolic with multiplicative noise, like those arising in non-linear filtering or diffusion models in randomly moving media. Regularity theory in Sobolev spaces is extensively investigated, for ... Read more

R1 975,27

The book treats two topics in the theory of stochastic partial differential equations: space-regularity of solutions and existence of stochastic flows. The equations considered in the book are linear parabolic with multiplicative noise, like those arising in non-linear filtering or diffusion models in randomly moving media. Regularity theory in Sobolev spaces is extensively investigated, for
... Read more
Probability Theory and Stochastic Processes

by B. Prabhakara Rao, T.S.R. Murthy ...

The focus of this book is to understand the concepts of probability theory and stochastic processes and the techniques are exposed to analyze the situations arise from time to time in the academic and advanced fields of Science and Technology. It aims at acquainting the reader with the mainstream of present day of thinking. This book is useful for students at both the undergraduate and the post ... Read more

R1 828,16 or Free with Kobo Plus

The focus of this book is to understand the concepts of probability theory and stochastic processes and the techniques are exposed to analyze the situations arise from time to time in the academic and advanced fields of Science and Technology. It aims at acquainting the reader with the mainstream of present day of thinking. This book is useful for students at both the undergraduate and the post
... Read more
Random Walk, Brownian Motion, and Martingales

by Rabi Bhattacharya, Edward C. Waymire ...

Series series Mathematics and Statistics (R0)
This textbook offers an approachable introduction to stochastic processes that explores the four pillars of random walk, branching processes, Brownian motion, and martingales. Building from simple examples, the authors focus on developing context and intuition before formalizing the theory of each topic. This inviting approach illuminates the key ideas and computations in the proofs, forming an ... Read more

R1 246,82

This textbook offers an approachable introduction to stochastic processes that explores the four pillars of random walk, branching processes, Brownian motion, and martingales. Building from simple examples, the authors focus on developing context and intuition before formalizing the theory of each topic. This inviting approach illuminates the key ideas and computations in the proofs, forming an
... Read more

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Recommended For You

Probability eBooks

Measures, Integrals and Martingales

Stochastic Processes, Finance And Control: A Festschrift In Honor Of Robert J Elliott

Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE

Selected Contributions on Statistics and Data Science in Latin America

Order, Disorder And Criticality: Advanced Problems Of Phase Transition Theory - Volume 6

20th International Probabilistic Workshop

Fundamentals of Stochastic Signals, Systems and Estimation Theory

Multi-Level Bayesian Models for Environment Perception

The Probability Companion for Engineering and Computer Science

Diffusion in Random Fields

Dirichlet Forms Methods for Poisson Point Measures and Lévy Processes

Information Geometry

Studies in the Theory of Random Processes

Risk And Stochastics: Ragnar Norberg

Applied Probability and Stochastic Processes

Stochastic Modeling and Mathematical Statistics

Statistics for Finance

Asymptotics, Nonparametrics, and Time Series

Stochastic Methods in Scientific Computing

Modern Survey Sampling

Set-Indexed Martingales

Regularity Theory and Stochastic Flows for Parabolic ISPDES

Probability Theory and Stochastic Processes

Random Walk, Brownian Motion, and Martingales