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Stochastic Models In The Life Sciences And Their Methods Of Analysis

by Frederic Y M Wan ...

'… the volume is impressively accessible. The result is a book that is valuable and approachable for biologists at all levels, including those interested in deepening their skills in mathematical modeling and those who seek an overview to aid them in communicating with collaborators in mathematics and statistics. The former group of readers may especially appreciate the first chapter, an ... Read more

77,05 €

'… the volume is impressively accessible. The result is a book that is valuable and approachable for biologists at all levels, including those interested in deepening their skills in mathematical modeling and those who seek an overview to aid them in communicating with collaborators in mathematics and statistics. The former group of readers may especially appreciate the first chapter, an
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Random Graphs and Complex Networks

by Remco van der Hofstad ...

Series Book 43 - Cambridge Series in Statistical and Probabilistic Mathematics
This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have ... Read more

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This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have
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Stochastic Processes with R

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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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Classical and Quantum Information Theory for the Physicist

by Harish Parthasarathy ...

This book deals with certain important problems in Classical and Quantum Information TheoryQuantum Information Theory, A Selection of Matrix InequalitiesStochastic Filtering Theory Applied to Electromagnetic Fields and StringsWigner-distributions in Quantum MechanicsQuantization of Classical Field TheoriesStatistical Signal ProcessingQuantum Field Theory, Quantum Stat... ... Read more

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This book deals with certain important problems in Classical and Quantum Information TheoryQuantum Information Theory, A Selection of Matrix InequalitiesStochastic Filtering Theory Applied to Electromagnetic Fields and StringsWigner-distributions in Quantum MechanicsQuantization of Classical Field TheoriesStatistical Signal ProcessingQuantum Field Theory, Quantum Stat...
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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

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

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by Vidyadhar S. Mandrekar, Leszek Gawarecki ...

Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs).The book begins with preliminary results on covariance and associated RKHS ... Read more

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Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs).The book begins with preliminary results on covariance and associated RKHS
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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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Perfect Simulation

by Mark L. Huber ...

Exact sampling, specifically coupling from the past (CFTP), allows users to sample exactly from the stationary distribution of a Markov chain. During its nearly 20 years of existence, exact sampling has evolved into perfect simulation, which enables high-dimensional simulation from interacting distributions.Perfect Simulation illustrates the applic ... Read more

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Exact sampling, specifically coupling from the past (CFTP), allows users to sample exactly from the stationary distribution of a Markov chain. During its nearly 20 years of existence, exact sampling has evolved into perfect simulation, which enables high-dimensional simulation from interacting distributions.Perfect Simulation illustrates the applic
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Models for Dependent Time Series

by Granville Tunnicliffe Wilson, Marco Reale, John Haywood ...

Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect ... Read more

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Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect
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Advances in Queueing Theory, Methods, and Open Problems

by Jewgeni H. Dshalalow ...

Series series Probability and Stochastics Series
The progress of science and technology has placed Queueing Theory among the most popular disciplines in applied mathematics, operations research, and engineering. Although queueing has been on the scientific market since the beginning of this century, it is still rapidly expanding by capturing new areas in technology. Advances in Queueing provides a comprehensive overview of problems in this ... Read more

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The progress of science and technology has placed Queueing Theory among the most popular disciplines in applied mathematics, operations research, and engineering. Although queueing has been on the scientific market since the beginning of this century, it is still rapidly expanding by capturing new areas in technology. Advances in Queueing provides a comprehensive overview of problems in this
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Stability and Stabilization of Nonlinear Systems with Random Structures

by I. Ya Kats, A.A. Martynyuk ...

Series series Stability and Control: Theory, Methods and Applications
Nonlinear systems with random structures arise quite frequently as mathematical models in diverse disciplines. This monograph presents a systematic treatment of stability theory and the theory of stabilization of nonlinear systems with random structure in terms of new developments in the direct Lyapunov's method. The analysis focuses on dynamic systems with random Markov parameters. This high ... Read more

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Nonlinear systems with random structures arise quite frequently as mathematical models in diverse disciplines. This monograph presents a systematic treatment of stability theory and the theory of stabilization of nonlinear systems with random structure in terms of new developments in the direct Lyapunov's method. The analysis focuses on dynamic systems with random Markov parameters. This high
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High-Dimensional Optimization

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by Jack Noonan, Anatoly Zhigljavsky ...

Series series Mathematics and Statistics (R0)
This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematics including computer experiments, optimal experimental design, and global optimization. The bulk of the book is based on several recent papers by the authors but also contains new results. Considering applications, this brief highlights multistart and other methods of global ... Read more

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This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematics including computer experiments, optimal experimental design, and global optimization. The bulk of the book is based on several recent papers by the authors but also contains new results. Considering applications, this brief highlights multistart and other methods of global
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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

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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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Probability and Stochastic Processes

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Edited by Siva Athreya, Abhay G. Bhatt, B. V. Rao ...

Series series Mathematics and Statistics (R0)
The book collects papers on several topics in probability and stochastic processes. These papers have been presented at a conference organised in honour of Professor Rajeeva L. Karandikar who turned 65 in 2021. He was a distinguished researcher and a teacher at the Indian Statistical Institute (ISI), Delhi Centre, for many years. He has been a multi-faceted academician, interacting with the ... Read more

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The book collects papers on several topics in probability and stochastic processes. These papers have been presented at a conference organised in honour of Professor Rajeeva L. Karandikar who turned 65 in 2021. He was a distinguished researcher and a teacher at the Indian Statistical Institute (ISI), Delhi Centre, for many years. He has been a multi-faceted academician, interacting with the
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QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

by Antonius B. Dieker, Steven T. Hackman ...

Series series Springer Series in Operations Research and Financial Engineering
This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accurately generating approximate distributions of system performance over time, offering a robust tool for understanding the dynamics of such systems. QPLEX circumvents the curse of dimensionality by ... Read more

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This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accurately generating approximate distributions of system performance over time, offering a robust tool for understanding the dynamics of such systems. QPLEX circumvents the curse of dimensionality by
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A Course of Stochastic Analysis

by Alexander Melnikov ...

Series series Mathematics and Statistics (R0)
The main subject of the book is stochastic analysis and its various applications to mathematical finance and statistics of random processes. The main purpose of the book is to present, in a short and sufficiently self-contained form, the methods and results of the contemporary theory of stochastic analysis and to show how these methods and results work in mathematical finance and statistics of ... Read more

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The main subject of the book is stochastic analysis and its various applications to mathematical finance and statistics of random processes. The main purpose of the book is to present, in a short and sufficiently self-contained form, the methods and results of the contemporary theory of stochastic analysis and to show how these methods and results work in mathematical finance and statistics of
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Introduction to Banach Spaces: Analysis and Probability: Volume 2

by Daniel Li, Hervé Queffélec ...

Translated by Danièle Gibbons, Greg Gibbons ...

Series Book 167 - Cambridge Studies in Advanced Mathematics
This two-volume text provides a complete overview of the theory of Banach spaces, emphasising its interplay with classical and harmonic analysis (particularly Sidon sets) and probability. The authors give a full exposition of all results, as well as numerous exercises and comments to complement the text and aid graduate students in functional analysis. The book will also be an invaluable reference ... Read more

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This two-volume text provides a complete overview of the theory of Banach spaces, emphasising its interplay with classical and harmonic analysis (particularly Sidon sets) and probability. The authors give a full exposition of all results, as well as numerous exercises and comments to complement the text and aid graduate students in functional analysis. The book will also be an invaluable reference
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Brownian Models of Performance and Control

by J. Michael Harrison ...

Direct and to the point, this book from one of the field's leaders covers Brownian motion and stochastic calculus at the graduate level, and illustrates the use of that theory in various application domains, emphasizing business and economics. The mathematical development is narrowly focused and briskly paced, with many concrete calculations and a minimum of abstract notation. The applications ... Read more

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Direct and to the point, this book from one of the field's leaders covers Brownian motion and stochastic calculus at the graduate level, and illustrates the use of that theory in various application domains, emphasizing business and economics. The mathematical development is narrowly focused and briskly paced, with many concrete calculations and a minimum of abstract notation. The applications
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Stochastic Networks

by Elena Yudovina, Frank Kelly ...

Series Book 2 - Institute of Mathematical Statistics Textbooks
Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and ... Read more

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Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and
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Two-dimensional Product-cubic Systems, Vol.II

Product-quadratic Vector Fields

by Albert C. J. Luo ...

This book, the sixth of 15 related monographs, discusses singularity and networks of equilibriums and 1-diemsnional flows in product quadratic and cubic systems. The author explains how, in the networks, equilibriums have source, sink and saddles with counter-clockwise and clockwise centers and positive and negative saddles, and the 1-dimensional flows includes source and sink flows, parabola ... Read more

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This book, the sixth of 15 related monographs, discusses singularity and networks of equilibriums and 1-diemsnional flows in product quadratic and cubic systems. The author explains how, in the networks, equilibriums have source, sink and saddles with counter-clockwise and clockwise centers and positive and negative saddles, and the 1-dimensional flows includes source and sink flows, parabola
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Workload Modeling for Computer Systems Performance Evaluation

by Dror G. Feitelson ...

Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap ... Read more

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Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap
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Tychastic Measure of Viability Risk

by Luxi Chen, Jean-Pierre Aubin, Olivier Dordan ...

This book presents a forecasting mechanism of the price intervals for deriving the SCR (solvency capital requirement) eradicating the risk during the exercise period on one hand and measuring the risk by computing the hedging exit time function associating with smaller investments the date until which the value of the portfolio hedges the liabilities on the other. This information, summarized ... Read more

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This book presents a forecasting mechanism of the price intervals for deriving the SCR (solvency capital requirement) eradicating the risk during the exercise period on one hand and measuring the risk by computing the hedging exit time function associating with smaller investments the date until which the value of the portfolio hedges the liabilities on the other. This information, summarized
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Stochastic Flows and Jump-Diffusions

by Hiroshi Kunita ...

Series Book 92 - Probability Theory and Stochastic Modelling
This monograph presents a modern treatment of (1) stochastic differential equations and (2) diffusion and jump-diffusion processes. The simultaneous treatment of diffusion processes and jump processes in this book is unique: Each chapter starts from continuous processes and then proceeds to processes with jumps.In the first part of the book, it is shown that solutions of stochastic differential ... Read more

104,93 €

This monograph presents a modern treatment of (1) stochastic differential equations and (2) diffusion and jump-diffusion processes. The simultaneous treatment of diffusion processes and jump processes in this book is unique: Each chapter starts from continuous processes and then proceeds to processes with jumps.In the first part of the book, it is shown that solutions of stochastic differential
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Logistische Regression - Die Anwendung des Logit- und Probit-Modells

by Manfred Hammerl ...

Studienarbeit aus dem Jahr 2006 im Fachbereich Mathematik - Statistik, Note: 2, Karl-Franzens-Universität Graz (Institut für Statistik und Operations Research), Veranstaltung: Konversatorium Statistik, Sprache: Deutsch, Abstract: In vielen Bereichen der Wissenschaft wie auch der Praxis in Wirtschaft, Politik usw. geht es darum, die Wahrscheinlichkeit für das Eintreten eines bestimmten Ereignisses ... Read more

13,99 €

Studienarbeit aus dem Jahr 2006 im Fachbereich Mathematik - Statistik, Note: 2, Karl-Franzens-Universität Graz (Institut für Statistik und Operations Research), Veranstaltung: Konversatorium Statistik, Sprache: Deutsch, Abstract: In vielen Bereichen der Wissenschaft wie auch der Praxis in Wirtschaft, Politik usw. geht es darum, die Wahrscheinlichkeit für das Eintreten eines bestimmten Ereignisses
... Read more

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Recommended For You

Probability eBooks

Stochastic Models In The Life Sciences And Their Methods Of Analysis

Random Graphs and Complex Networks

Stochastic Processes with R

Classical and Quantum Information Theory for the Physicist

Univariate Families of Distributions

Stochastic Analysis for Gaussian Random Processes and Fields

Dynamical Biostatistical Models

Perfect Simulation

Models for Dependent Time Series

Advances in Queueing Theory, Methods, and Open Problems

Stability and Stabilization of Nonlinear Systems with Random Structures

High-Dimensional Optimization

Physics and Finance

Probability and Stochastic Processes

QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

A Course of Stochastic Analysis

Introduction to Banach Spaces: Analysis and Probability: Volume 2

Brownian Models of Performance and Control

Stochastic Networks

Two-dimensional Product-cubic Systems, Vol.II

Workload Modeling for Computer Systems Performance Evaluation

Tychastic Measure of Viability Risk

Stochastic Flows and Jump-Diffusions

Logistische Regression - Die Anwendung des Logit- und Probit-Modells