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Diffusion Processes, Jump Processes, and Stochastic Differential Equations

de Wojbor A. Woyczyński ...

Diffusion Processes, Jump Processes, and Stochastic Differential Equations provides a compact exposition of the results explaining interrelations between diﬀusion stochastic processes, stochastic diﬀerential equations and the fractional inﬁnitesimal operators. The draft of this book has been extensively classroom tested by the author at Case Western Reserve University in a course that enrolled ... Leer más

$76,086 CLP

Diffusion Processes, Jump Processes, and Stochastic Differential Equations provides a compact exposition of the results explaining interrelations between diﬀusion stochastic processes, stochastic diﬀerential equations and the fractional inﬁnitesimal operators. The draft of this book has been extensively classroom tested by the author at Case Western Reserve University in a course that enrolled
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High Dimensional Space to Formulate Marriage and Birth Functions

de Shuichirou Ike ...

With the collapse of Demographic Transition Theory, new theories of population must not just be explanations, but should be falsifiable theories which can compute the number of occurrences of marriages and births. This book reviews computable marriage and birth function using dynamic properties. To do that, the functions are defined in high dimensional space. The reaction-diffusion equation of the ... Leer más

$124,316 CLP

With the collapse of Demographic Transition Theory, new theories of population must not just be explanations, but should be falsifiable theories which can compute the number of occurrences of marriages and births. This book reviews computable marriage and birth function using dynamic properties. To do that, the functions are defined in high dimensional space. The reaction-diffusion equation of the
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Crowds In Equations: An Introduction To The Microscopic Modeling Of Crowds

de Bertrand Maury, Sylvain Faure ...

Series series Advanced Textbooks In Mathematics
The book contains self-contained descriptions of existing models, accompanied by critical analyses of their properties both from a theoretical and practical standpoint. It aims to develop 'modeling skills' within the readers, giving them the ability to develop their own models and improve existing ones. Written in connection with a full, open source Python Library, this project also enables ... Leer más

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The book contains self-contained descriptions of existing models, accompanied by critical analyses of their properties both from a theoretical and practical standpoint. It aims to develop 'modeling skills' within the readers, giving them the ability to develop their own models and improve existing ones. Written in connection with a full, open source Python Library, this project also enables
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Point Processes and Their Statistical Inference

de 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, ... Leer más

$78,229 CLP

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,
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Asymptotic Analysis of Random Walks

Light-Tailed Distributions

Traducido por Mikhail Zhitlukhin, V. V. Ulyanov ...

de A. A. Borovkov ...

Series Libro 176 - Encyclopedia of Mathematics and its Applications
This is a companion book to Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions by A.A. Borovkov and K.A. Borovkov. Its self-contained systematic exposition provides a highly useful resource for academic researchers and professionals interested in applications of probability in statistics, ruin theory, and queuing theory. The large deviation principle for random walks was first ... Leer más

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This is a companion book to Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions by A.A. Borovkov and K.A. Borovkov. Its self-contained systematic exposition provides a highly useful resource for academic researchers and professionals interested in applications of probability in statistics, ruin theory, and queuing theory. The large deviation principle for random walks was first
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Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height

de Erik Vanem ...

Series Libro 2 - Ocean Engineering & Oceanography
This book provides an example of a thorough statistical treatment of ocean wave data in space and time. It demonstrates how the flexible framework of Bayesian hierarchical space-time models can be applied to oceanographic processes such as significant wave height in order to describe dependence structures and uncertainties in the data.This monograph is a research book and it is partly cross ... Leer más

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This book provides an example of a thorough statistical treatment of ocean wave data in space and time. It demonstrates how the flexible framework of Bayesian hierarchical space-time models can be applied to oceanographic processes such as significant wave height in order to describe dependence structures and uncertainties in the data.This monograph is a research book and it is partly cross
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Stochastic Simulation Optimization For Discrete Event Systems: Perturbation Analysis, Ordinal Optimization And Beyond

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

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

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

de L.-O. Renftel ...

Fractal geometry allows the description of natural patterns and the establishment and testing of models of pattern formation. In particular, it is a tool for geoscientists. The aim of this volume is to give an overview of the applications of fractal geometry and the theory of dynamic systems in the geosciences. The state of the art is presented and the reader obtains an impression of the variety ... Leer más

$56,180 CLP

Fractal geometry allows the description of natural patterns and the establishment and testing of models of pattern formation. In particular, it is a tool for geoscientists. The aim of this volume is to give an overview of the applications of fractal geometry and the theory of dynamic systems in the geosciences. The state of the art is presented and the reader obtains an impression of the variety
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Large Deviations and Idempotent Probability

de Anatolii Puhalskii ...

In the view of many probabilists, author Anatolii Puhalskii's research results stand among the most significant achievements in the modern theory of large deviations. In fact, his work marked a turning point in the depth of our understanding of the connections between the large deviation principle (LDP) and well-known methods for establishing weak ... Leer más

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In the view of many probabilists, author Anatolii Puhalskii's research results stand among the most significant achievements in the modern theory of large deviations. In fact, his work marked a turning point in the depth of our understanding of the connections between the large deviation principle (LDP) and well-known methods for establishing weak
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Processing Networks

Fluid Models and Stability

de J. G. Dai, J. Michael Harrison ...

This state-of-the-art account unifies material developed in journal articles over the last 35 years, with two central thrusts: It describes a broad class of system models that the authors call 'stochastic processing networks' (SPNs), which include queueing networks and bandwidth sharing networks as prominent special cases; and in that context it explains and illustrates a method for stability ... Leer más

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This state-of-the-art account unifies material developed in journal articles over the last 35 years, with two central thrusts: It describes a broad class of system models that the authors call 'stochastic processing networks' (SPNs), which include queueing networks and bandwidth sharing networks as prominent special cases; and in that context it explains and illustrates a method for stability
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Applied Extreme Value Statistics

With a Special Focus on the ACER Method

de 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 ... Leer más

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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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Counterexamples in Markov Decision Processes

de Alexey Piunovskiy ...

Series Libro 6 - Series on Optimization and its Applications
Markov Decision Processes (MDPs) form a cornerstone of applied probability, with over 50 years of rich research history. Throughout this time, numerous foundational books and thousands of journal articles have shaped the field. The central objective of MDP theory is to identify the optimal control strategy for Markov random processes with discrete time. Interestingly, the best control strategies ... Leer más

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Markov Decision Processes (MDPs) form a cornerstone of applied probability, with over 50 years of rich research history. Throughout this time, numerous foundational books and thousands of journal articles have shaped the field. The central objective of MDP theory is to identify the optimal control strategy for Markov random processes with discrete time. Interestingly, the best control strategies
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Bayesian Filtering and Smoothing

de Simo Särkkä ...

Series Libro 3 - Institute of Mathematical Statistics Textbooks
Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple observational inputs (data). Interest in these methods has exploded in recent years, with numerous applications emerging in fields such as navigation, aerospace engineering, telecommunications and medicine. This compact, informal introduction for graduate students and ... Leer más

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Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple observational inputs (data). Interest in these methods has exploded in recent years, with numerous applications emerging in fields such as navigation, aerospace engineering, telecommunications and medicine. This compact, informal introduction for graduate students and
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Elements of Stochastic Modelling

de Konstantin Borovkov ...

This is a thoroughly revised and expanded third edition of a successful university textbook that provides a broad introduction to key areas of stochastic modelling. The previous edition was developed from lecture notes for two one-semester courses for third-year science and actuarial students at the University of Melbourne.This book reviews the basics of probability theory and presents topics on ... Leer más

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This is a thoroughly revised and expanded third edition of a successful university textbook that provides a broad introduction to key areas of stochastic modelling. The previous edition was developed from lecture notes for two one-semester courses for third-year science and actuarial students at the University of Melbourne.This book reviews the basics of probability theory and presents topics on
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Genealogies Of Interacting Particle Systems

de Matthias Birkner, Rongfeng Sun, Jan M Swart ...

Series Libro 38 - Lecture Notes Series, Institute For Mathematical Sciences, National University Of Singapore
Interacting particle systems are Markov processes involving infinitely many interacting components. Since their introduction in the 1970s, researchers have found many applications in statistical physics and population biology. Genealogies, which follow the origin of the state of a site backwards in time, play an important role in their studies, especially for the biologically motivated systems.The ... Leer más

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Interacting particle systems are Markov processes involving infinitely many interacting components. Since their introduction in the 1970s, researchers have found many applications in statistical physics and population biology. Genealogies, which follow the origin of the state of a site backwards in time, play an important role in their studies, especially for the biologically motivated systems.The
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Die Monte-Carlo-Methode

Beispiele unter Excel VBA

de Harald Nahrstedt ...

Series series essentials
Harald Nahrstedt zeigt hier den pragmatisch technischen und weniger den wissenschaftlichen Ansatz, wie Excel mit seinen Programmiermöglichkeiten sich immer mehr zu einem universellen Arbeitsmittel entwickelt. So ist die Simulation mit Hilfe von Pseudozufallszahlen ein schneller und preiswerter Weg zu fachlichen Aussagen. Den Rahmen dieser Abhandlung bildet der geschichtliche Hintergrund. ... Leer más

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Harald Nahrstedt zeigt hier den pragmatisch technischen und weniger den wissenschaftlichen Ansatz, wie Excel mit seinen Programmiermöglichkeiten sich immer mehr zu einem universellen Arbeitsmittel entwickelt. So ist die Simulation mit Hilfe von Pseudozufallszahlen ein schneller und preiswerter Weg zu fachlichen Aussagen. Den Rahmen dieser Abhandlung bildet der geschichtliche Hintergrund.
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Elliptic Extensions in Statistical and Stochastic Systems

de Makoto Katori ...

Series series Mathematics and Statistics (R0)
Hermite's theorem makes it known that there are three levels of mathematical frames in which a simple addition formula is valid. They are rational, q-analogue, and elliptic-analogue. Based on the addition formula and associated mathematical structures, productive studies have been carried out in the process of q-extension of the rational (classical) formulas in enumerative combinatorics, theory of ... Leer más

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Hermite's theorem makes it known that there are three levels of mathematical frames in which a simple addition formula is valid. They are rational, q-analogue, and elliptic-analogue. Based on the addition formula and associated mathematical structures, productive studies have been carried out in the process of q-extension of the rational (classical) formulas in enumerative combinatorics, theory of
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Hidden Markov Models for Time Series

An Introduction Using R, Second Edition

de Walter Zucchini, Iain L. MacDonald, Roland Langrock ...

Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian ... Leer más

Antes $78,229 CLP Ahora $69,655 CLP

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian
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Fundamentals of Stochastic Models

de Zhe George Zhang ...

Series series Operations Research Series
Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable.Fundamentals of Stochastic Models offers many practical examples and ... Leer más

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Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable.Fundamentals of Stochastic Models offers many practical examples and
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Probability and Stochastic Processes

Work Examples

de 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 ... Leer más

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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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From Nonparametric Regression to Statistical Inference for Non-Ergodic Diffusion Processes

de Nicolas Marie ...

Series series Mathematics and Statistics (R0)
This book is about copies-based nonparametric estimation of the drift function in stochastic differential equations (SDEs) driven by Brownian motion, a jump process, or fractional Brownian motion. While the estimators of the drift function in SDEs are classically computed from one long-time observation of the ergodic stationary solution, here the estimation framework – which is part of functional ... Leer más

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This book is about copies-based nonparametric estimation of the drift function in stochastic differential equations (SDEs) driven by Brownian motion, a jump process, or fractional Brownian motion. While the estimators of the drift function in SDEs are classically computed from one long-time observation of the ergodic stationary solution, here the estimation framework – which is part of functional
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Stochastic Processes and Functional Analysis

In Celebration of M.m. Rao's 65th Birthday

Edición de Jerome Goldstein, Neil Gretsky, John Uhl ...

Series series Lecture Notes in Pure and Applied Mathematics
"Covers the areas of modern analysis and probability theory. Presents a collection of papers given at the Festschrift held in honor of the 65 birthday of M. M. Rao, whose prolific published research includes the well-received Marcel Dekker, Inc. books Theory of Orlicz Spaces and Conditional Measures and Applications. Features previously unpublished research articles by a host of internationally ... Leer más

$428,713 CLP

"Covers the areas of modern analysis and probability theory. Presents a collection of papers given at the Festschrift held in honor of the 65 birthday of M. M. Rao, whose prolific published research includes the well-received Marcel Dekker, Inc. books Theory of Orlicz Spaces and Conditional Measures and Applications. Features previously unpublished research articles by a host of internationally
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Stochastic Partial Differential Equations and Applications - VII

Edición de Giuseppe Da Prato, Luciano Tubaro ...

Series series Lecture Notes in Pure and Applied Mathematics
Stochastic Partial Differential Equations and Applications gives an overview of current state-of-the-art stochastic PDEs in several fields, such as filtering theory, stochastic quantization, quantum probability, and mathematical finance. Featuring contributions from leading expert participants at an international conference on the subject, this boo ... Leer más

$444,790 CLP

Stochastic Partial Differential Equations and Applications gives an overview of current state-of-the-art stochastic PDEs in several fields, such as filtering theory, stochastic quantization, quantum probability, and mathematical finance. Featuring contributions from leading expert participants at an international conference on the subject, this boo
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Stochastic Models In The Life Sciences And Their Methods Of Analysis

de 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 ... Leer más

$90,673 CLP

'… 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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eBooks de Probabilidad

Diffusion Processes, Jump Processes, and Stochastic Differential Equations

High Dimensional Space to Formulate Marriage and Birth Functions

Crowds In Equations: An Introduction To The Microscopic Modeling Of Crowds

Point Processes and Their Statistical Inference

Asymptotic Analysis of Random Walks

Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height

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

Fractals and Dynamic Systems in Geoscience

Large Deviations and Idempotent Probability

Processing Networks

Applied Extreme Value Statistics

Counterexamples in Markov Decision Processes

Bayesian Filtering and Smoothing

Elements of Stochastic Modelling

Genealogies Of Interacting Particle Systems

Die Monte-Carlo-Methode

Elliptic Extensions in Statistical and Stochastic Systems

Hidden Markov Models for Time Series

Fundamentals of Stochastic Models

Probability and Stochastic Processes

From Nonparametric Regression to Statistical Inference for Non-Ergodic Diffusion Processes

Stochastic Processes and Functional Analysis

Stochastic Partial Differential Equations and Applications - VII

Stochastic Models In The Life Sciences And Their Methods Of Analysis