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Enlargement of Filtration with Finance in View

by Monique Jeanblanc, Anna Aksamit ...

Series series SpringerBriefs in Quantitative Finance
This volume presents classical results of the theory of enlargement of filtration. The focus is on the behavior of martingales with respect to the enlarged filtration and related objects. The study is conducted in various contexts including immersion, progressive enlargement with a random time and initial enlargement with a random variable.The aim of this book is to collect the main mathematical ... Read more

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This volume presents classical results of the theory of enlargement of filtration. The focus is on the behavior of martingales with respect to the enlarged filtration and related objects. The study is conducted in various contexts including immersion, progressive enlargement with a random time and initial enlargement with a random variable.The aim of this book is to collect the main mathematical
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Bayesian Model Comparison

Edited by Ivan Jeliazkov, Dale J. Poirier ...

Series Book 34 - Advances in Econometrics
The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian thresholding methods in hierarchical graphical models, adaptive reversible jump MCMC, LASSO estimators, parameter ... Read more

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Advanced Statistical Analysis for Soil Scientists

by Tancredo Souza ...

In the evolving field of soil science, advanced statistical analysis has become essential for understanding complex soil processes. Handbook of Advanced Statistical Analysis Applied offers a comprehensive guide to modern statistical methods such as PERMANOVA, ANOSIM, PCA, NMDS, RDA, and SEM, tailored specifically for soil science research.Through practical examples and case studies, the book ... Read more

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In the evolving field of soil science, advanced statistical analysis has become essential for understanding complex soil processes. Handbook of Advanced Statistical Analysis Applied offers a comprehensive guide to modern statistical methods such as PERMANOVA, ANOSIM, PCA, NMDS, RDA, and SEM, tailored specifically for soil science research.Through practical examples and case studies, the book
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Applied Extreme Value Statistics

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by Arvid Naess ...

Series series Mathematics and Statistics (R0)
This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights into the exact extreme value distribution inherent in the data, and which avoids asymptotics. It therefore differs from currently available texts on extreme value statistics in one very important ... Read more

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This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights into the exact extreme value distribution inherent in the data, and which avoids asymptotics. It therefore differs from currently available texts on extreme value statistics in one very important
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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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Variational Inequalities in Management Science and Finance

Modelling, Analysis, Numerics and Applications

by Andrianos E. Tsekrekos, Athanasios N. Yannacopoulos ...

Series series Business and Management (R0)
This book provides a rigorous introduction to the theory, computation, and applications of variational inequalities (VIs), with a focus on applications in management science and finance. It aims to bridge the gap between the abstract mathematical treatments of the subject and simplistic, non-rigorous approaches often used in financial economics or managerial literature.Building on fundamental ... Read more

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This book provides a rigorous introduction to the theory, computation, and applications of variational inequalities (VIs), with a focus on applications in management science and finance. It aims to bridge the gap between the abstract mathematical treatments of the subject and simplistic, non-rigorous approaches often used in financial economics or managerial literature.Building on fundamental
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Probability and Stochastic Processes

Work Examples

by Odile Pons ...

This volume offers a comprehensive collection of exercises, problems, and fully worked solutions covering the core topics of a first course in probability. Each chapter opens with a concise overview of essential probabilistic tools — such as distributions, transforms, martingales, and Gaussian processes — followed by examples that illustrate key techniques and applications.This substantially ... Read more

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This volume offers a comprehensive collection of exercises, problems, and fully worked solutions covering the core topics of a first course in probability. Each chapter opens with a concise overview of essential probabilistic tools — such as distributions, transforms, martingales, and Gaussian processes — followed by examples that illustrate key techniques and applications.This substantially
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An Introduction to Probability and Stochastic Processes

by James L. Melsa, Andrew P. Sage ...

Series series Dover Books on Mathematics
This text offers students valuable tools for the description and analysis of random effects in complex systems. The treatment emphasizes concepts with practical value and illustrates their application to realistic situations. Geared toward college seniors and first-year graduate students, this volume is designed for a one-semester course in probability and stochastic processes. The sole ... Read more

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This text offers students valuable tools for the description and analysis of random effects in complex systems. The treatment emphasizes concepts with practical value and illustrates their application to realistic situations. Geared toward college seniors and first-year graduate students, this volume is designed for a one-semester course in probability and stochastic processes. The sole
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XIV Symposium on Probability and Stochastic Processes

CIMAT, Mexico, November 20-24, 2023

Edited by Carmen Geraldi Higuera Chan, José Alfredo López Mimbela, Sergio I. López, Carlos G. Pacheco ...

Series series Springer Nature Proceedings excluding Computer Science
This volume features a collection of papers and lecture notes from the “XIV Symposium on Probability and Stochastic Processes,” held at the Center for Research in Mathematics (CIMAT), Mexico, in November 2023. Contributions discuss state-of-the-art developments in these fields, encouraging an exchange of ideas between international experts in related disciplines. Specific topics covered include ... Read more

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This volume features a collection of papers and lecture notes from the “XIV Symposium on Probability and Stochastic Processes,” held at the Center for Research in Mathematics (CIMAT), Mexico, in November 2023. Contributions discuss state-of-the-art developments in these fields, encouraging an exchange of ideas between international experts in related disciplines. Specific topics covered include
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Group Inverses of M-Matrices and Their Applications

by Stephen J. Kirkland, Michael Neumann ...

Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes, graph theory, electrical networks, and demographic models. Group Inverses of M-Matrices and Their Applications highlights the importance and utility of the group inverses of M-matrices in several application areas. ... Read more

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Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes, graph theory, electrical networks, and demographic models. Group Inverses of M-Matrices and Their Applications highlights the importance and utility of the group inverses of M-matrices in several application areas.
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Applied Probability and Stochastic Processes

by Frank Beichelt ...

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and stochastic processes with a special emphasis on their applications in science, engineering, finance, computer science, and operations research. It covers the theoretical foundations for modeling time-dependent random phenomena in these areas and illustrates ... Read more

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Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and stochastic processes with a special emphasis on their applications in science, engineering, finance, computer science, and operations research. It covers the theoretical foundations for modeling time-dependent random phenomena in these areas and illustrates
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Backward Stochastic Volterra Integral Equations

by Tianxiao Wang, Jiongmin Yong ...

Series series Mathematics and Statistics (R0)
Backward Stochastic Volterra Integral Equations (BSVIEs) have evolved into one of the most powerful and flexible mathematical frameworks for modeling systems with memory, time‑inconsistency, nonlinear dynamics, and path‑dependent uncertainty. Spanning foundational theory through cutting‑edge research, this comprehensive monograph offers the first unified and rigorous treatment of BSVIEs in their ... Read more

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Backward Stochastic Volterra Integral Equations (BSVIEs) have evolved into one of the most powerful and flexible mathematical frameworks for modeling systems with memory, time‑inconsistency, nonlinear dynamics, and path‑dependent uncertainty. Spanning foundational theory through cutting‑edge research, this comprehensive monograph offers the first unified and rigorous treatment of BSVIEs in their
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Hidden Markov Processes and Adaptive Filtering

by Yury A. Kutoyants ...

Series series Mathematics and Statistics (R0)
This book is devoted to the problem of adaptive filtering for partially observed systems depending on unknown parameters. Adaptive filters are proposed for a wide variety of models: Gaussian and conditionally Gaussian linear models of diffusion processes; some nonlinear models; telegraph signals in white Gaussian noise (all in continuous time); and autoregressive processes observed in white noise ... Read more

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This book is devoted to the problem of adaptive filtering for partially observed systems depending on unknown parameters. Adaptive filters are proposed for a wide variety of models: Gaussian and conditionally Gaussian linear models of diffusion processes; some nonlinear models; telegraph signals in white Gaussian noise (all in continuous time); and autoregressive processes observed in white noise
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Modelling with Ordinary Differential Equations

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by Alfio Borzì ...

Series series Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Modelling with Ordinary Differential Equations: A Comprehensive Approach aims to provide a broad and self-contained introduction to the mathematical tools necessary to investigate and apply ODE models. The book starts by establishing the existence of solutions in various settings and analysing their stability properties. The next step is to illustrate modelling issues arising in the calculus of ... Read more

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Modelling with Ordinary Differential Equations: A Comprehensive Approach aims to provide a broad and self-contained introduction to the mathematical tools necessary to investigate and apply ODE models. The book starts by establishing the existence of solutions in various settings and analysing their stability properties. The next step is to illustrate modelling issues arising in the calculus of
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Bayesian Analysis of Time Series

by Lyle D. Broemeling ...

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain the probabilistic characteristics of these time series and then utilizes the Bayesian approach to make inferences about their parameters. This is done by taking the prior information and via Bayes theorem implementing Bayesian inferences of ... Read more

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In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain the probabilistic characteristics of these time series and then utilizes the Bayesian approach to make inferences about their parameters. This is done by taking the prior information and via Bayes theorem implementing Bayesian inferences of
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Dynamical Biostatistical Models

by Daniel Commenges, Helene Jacqmin-Gadda ...

Series series Chapman & Hall/CRC Biostatistics Series
Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be ap ... Read more

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Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be ap
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Conditional Measures and Applications

by M.M. Rao ...

In response to unanswered difficulties in the generalized case of conditional expectation and to treat the topic in a well-deservedly thorough manner, M.M. Rao gave us the highly successful first edition of Conditional Measures and Applications. Until this groundbreaking work, conditional probability was relegated to scattered journal articles and ... Read more

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In response to unanswered difficulties in the generalized case of conditional expectation and to treat the topic in a well-deservedly thorough manner, M.M. Rao gave us the highly successful first edition of Conditional Measures and Applications. Until this groundbreaking work, conditional probability was relegated to scattered journal articles and
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Advanced Classical and Quantum Probability Theory with Quantum Field Theory Applications

by Harish Parthasarathy ...

This book is based on three undergraduate and postgraduate courses taught by the author on Matrix theory, Probability theory and Antenna theory over the past several years.It discusses Matrix theory, Probability theory and Antenna theory with solved problems. It will be useful to undergraduate and postgraduate students of Electronics and Communications Engineering.Print edition not for sale in ... Read more

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This book is based on three undergraduate and postgraduate courses taught by the author on Matrix theory, Probability theory and Antenna theory over the past several years.It discusses Matrix theory, Probability theory and Antenna theory with solved problems. It will be useful to undergraduate and postgraduate students of Electronics and Communications Engineering.Print edition not for sale in
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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

S$ 100.81 SGD

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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Empirical Likelihood

by Art B. Owen ...

Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It al ... Read more

S$ 276.21 SGD

Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It al
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Probability, Statistics, and Stochastic Processes for Engineers and Scientists

by Aliakbar Montazer Haghighi, Indika Wickramasinghe, Emmanuel A. Appiah ...

Series series Engineering Mathematics and Operations Research
2020 Taylor & Francis Award Winner for Outstanding New Textbook!Featuring recent advances in the field, this new textbook presents probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an ... Read more

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2020 Taylor & Francis Award Winner for Outstanding New Textbook!Featuring recent advances in the field, this new textbook presents probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an
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An Introduction to Financial Mathematics

Option Valuation

by Hugo D. Junghenn ...

Series series Chapman and Hall/CRC Financial Mathematics Series
Introduction to Financial Mathematics: Option Valuation, Second Edition is a well-rounded primer to the mathematics and models used in the valuation of financial derivatives.The book consists of ﬁfteen chapters, the ﬁrst ten of which develop option valuation techniques in discrete time, the last ﬁve describing the theory in continuous time.The first half of the textbook develops basic finance and ... Read more

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Introduction to Financial Mathematics: Option Valuation, Second Edition is a well-rounded primer to the mathematics and models used in the valuation of financial derivatives.The book consists of ﬁfteen chapters, the ﬁrst ten of which develop option valuation techniques in discrete time, the last ﬁve describing the theory in continuous time.The first half of the textbook develops basic finance and
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Stationary Stochastic Processes for Scientists and Engineers

by Georg Lindgren, Holger Rootzen, Maria Sandsten ...

Suitable for a one-semester course, this text teaches students how to use stochastic processes efficiently. Carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. Special emphasis is on the interpretation of various statistical models and concepts ... Read more

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Suitable for a one-semester course, this text teaches students how to use stochastic processes efficiently. Carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. Special emphasis is on the interpretation of various statistical models and concepts
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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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Recommended For You

Probability eBooks

Enlargement of Filtration with Finance in View

Bayesian Model Comparison

Advanced Statistical Analysis for Soil Scientists

Applied Extreme Value Statistics

Stochastic Thermodynamic Treatment of Thermal Anisotropy

Variational Inequalities in Management Science and Finance

Probability and Stochastic Processes

An Introduction to Probability and Stochastic Processes

XIV Symposium on Probability and Stochastic Processes

Group Inverses of M-Matrices and Their Applications

Applied Probability and Stochastic Processes

Backward Stochastic Volterra Integral Equations

Hidden Markov Processes and Adaptive Filtering

Modelling with Ordinary Differential Equations

Bayesian Analysis of Time Series

Dynamical Biostatistical Models

Conditional Measures and Applications

Advanced Classical and Quantum Probability Theory with Quantum Field Theory Applications

Statistics for Finance

Empirical Likelihood

Probability, Statistics, and Stochastic Processes for Engineers and Scientists

An Introduction to Financial Mathematics

Stationary Stochastic Processes for Scientists and Engineers

Signal Processing