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Recommended For You

Introduction to Probability, Second Edition

by Joseph K. Blitzstein, Jessica Hwang ...

Series series Chapman & Hall/CRC Texts in Statistical Science
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, ... Read more

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Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics,
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Examples In Markov Decision Processes

by Alexey B Piunovskiy ...

Series Book 2 - Imperial College Press Optimization Series
This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions ... Read more

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This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions
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Modern Time Series Forecasting with Python

Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

by Manu Joseph, Jeffrey Tackes ...

Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesApply ML and global models to improve forecasting accuracy through practical ... Read more

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Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesApply ML and global models to improve forecasting accuracy through practical
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Pandemics: Insurance and Social Protection

Edited by María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin‬‬‬ ...

Series series Springer Actuarial
This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic.Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing ... Read more

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This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic.Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing
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Fundamentals of Computational Neuroscience

Third Edition

by Thomas P. Trappenberg ...

Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the ... Read more

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Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the
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An Introduction to Probability

With MATHEMATICA®

by Edward P C Kao ...

The main objective of this text is to facilitate a student's smooth learning transition from a course on probability to its applications in various areas. To achieve this goal, students are encouraged to experiment numerically with problems requiring computer solutions.Contents:PrefaceNotations and AbbreviationsPermutation and CombinationAxiom of ProbabilityConditional ProbabilityRandom Variables< ... Read more

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The main objective of this text is to facilitate a student's smooth learning transition from a course on probability to its applications in various areas. To achieve this goal, students are encouraged to experiment numerically with problems requiring computer solutions.Contents:PrefaceNotations and AbbreviationsPermutation and CombinationAxiom of ProbabilityConditional ProbabilityRandom Variables<
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Mathematical Methods in Elasticity Imaging

by Habib Ammari, Elie Bretin, Josselin Garnier, Hyeonbae Kang, Hyundae Lee, Abdul Wahab ...

Series series Princeton Series in Applied Mathematics
This book is the first to comprehensively explore elasticity imaging and examines recent, important developments in asymptotic imaging, modeling, and analysis of deterministic and stochastic elastic wave propagation phenomena. It derives the best possible functional images for small inclusions and cracks within the context of stability and resolution, and introduces a topological derivative–based ... Read more

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This book is the first to comprehensively explore elasticity imaging and examines recent, important developments in asymptotic imaging, modeling, and analysis of deterministic and stochastic elastic wave propagation phenomena. It derives the best possible functional images for small inclusions and cracks within the context of stability and resolution, and introduces a topological derivative–based
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Elements of Stochastic Modelling

by 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 ... Read more

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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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Simulating Copulas: Stochastic Models, Sampling Algorithms, And Applications (Second Edition)

by Matthias Scherer, Jan-frederik Mai ...

Series Book 6 - Series In Quantitative Finance
'The book remains a valuable tool both for statisticians who are already familiar with the theory of copulas and just need to develop sampling algorithms, and for practitioners who want to learn copulas and implement the simulation techniques needed to exploit the potential of copulas in applications.'Mathematical ReviewsThe book provides the background on simulating copulas and multivariate ... Read more

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'The book remains a valuable tool both for statisticians who are already familiar with the theory of copulas and just need to develop sampling algorithms, and for practitioners who want to learn copulas and implement the simulation techniques needed to exploit the potential of copulas in applications.'Mathematical ReviewsThe book provides the background on simulating copulas and multivariate
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Nonlinearly Perturbed Semi-Markov Processes

by Dmitrii Silvestrov, Sergei Silvestrov ...

Series series SpringerBriefs in Probability and Mathematical Statistics
The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space screening procedures for sequential phase space reduction of semi-Markov processes combined with the systematical use of operational calculus for Laurent asymptotic expansions. Effective recurrent algorithms are composed for ... Read more

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The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space screening procedures for sequential phase space reduction of semi-Markov processes combined with the systematical use of operational calculus for Laurent asymptotic expansions. Effective recurrent algorithms are composed for
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Perturbed Semi-Markov Type Processes II

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by Dmitrii Silvestrov ...

This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation.The second volume presents a complete classification of ergodic theorems for alternating regenerative processes, including more than twenty ... Read more

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This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation.The second volume presents a complete classification of ergodic theorems for alternating regenerative processes, including more than twenty
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Occupancy Estimation and Modeling

Inferring Patterns and Dynamics of Species Occurrence

by James D. Nichols, James E. Hines, J. Andrew Royle, Kenneth H. Pollock, Darryl I. MacKenzie, Larissa Bailey ...

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of ... Read more

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Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of
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Asymptotic and Methodological Statistics

Festschrift in Honor of Marie Hušková

Edited by Daniel Hlubinka, Šárka Hudecová, Matúš Maciak, Michal Pešta ...

Series series Mathematics and Statistics (R0)
This book on asymptotic and methodological statistics celebrates the distinguished career of Marie Hušková and her foundational work in modern mathematical statistics. It brings together original research contributions from renowned statisticians, focusing on asymptotic theory, methodological innovations, and applications in statistical inference. The volume highlights cutting-edge developments in ... Read more

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This book on asymptotic and methodological statistics celebrates the distinguished career of Marie Hušková and her foundational work in modern mathematical statistics. It brings together original research contributions from renowned statisticians, focusing on asymptotic theory, methodological innovations, and applications in statistical inference. The volume highlights cutting-edge developments in
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Asymptotic Properties of Permanental Sequences

Related to Birth and Death Processes and Autoregressive Gaussian Sequences

by Michael B. Marcus, Jay Rosen ...

Series series SpringerBriefs in Probability and Mathematical Statistics
This SpringerBriefs employs a novel approach to obtain the precise asymptotic behavior at infinity of a large class of permanental sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes and Markov chains.The authors study alpha-permanental processes that are positive infinitely divisible processes determined by ... Read more

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This SpringerBriefs employs a novel approach to obtain the precise asymptotic behavior at infinity of a large class of permanental sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes and Markov chains.The authors study alpha-permanental processes that are positive infinitely divisible processes determined by
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Random Processes

A First Look, Second Edition,

by Syski ...

Series series Statistics: A Series of Textbooks and Monographs
This book develops appreciation of the ingenuity involved in the mathematical treatment of random phenomena, and of the power of the mathematical methods employed in the solution of applied problems. It is intended to students interested in applications of probability to their disciplines. ... Read more

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This book develops appreciation of the ingenuity involved in the mathematical treatment of random phenomena, and of the power of the mathematical methods employed in the solution of applied problems. It is intended to students interested in applications of probability to their disciplines.
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Diffusion Under Confinement

A Journey Through Counterintuition

by Leonardo Dagdug, Jason Peña, Ivan Pompa-García ...

Series series Physics and Astronomy (R0)
This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement. Diffusion is a universal phenomenon that controls a wide range of physical, chemical, and biological processes. The transport of spatially-constrained molecules and small particles is ubiquitous in nature and technology and plays an essential role in different processes. Understanding ... Read more

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This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement. Diffusion is a universal phenomenon that controls a wide range of physical, chemical, and biological processes. The transport of spatially-constrained molecules and small particles is ubiquitous in nature and technology and plays an essential role in different processes. Understanding
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Basics of Probability and Stochastic Processes

by Esra Bas ...

Series series Mathematics and Statistics (R0)
This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a step-by-step manner, and offers remarks and warnings for deeper insights. The chapters include basic examples, which are revisited as the new concepts are introduced. To aid learning, figures and diagrams are used to help ... Read more

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This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a step-by-step manner, and offers remarks and warnings for deeper insights. The chapters include basic examples, which are revisited as the new concepts are introduced. To aid learning, figures and diagrams are used to help
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Conceptual Econometrics Using R

by C.R. Rao, Hrishikesh D. Vinod ...

Series Book 41 - Handbook of Statistics
Conceptual Econometrics Using R, Volume 41 provides state-of-the-art information on important topics in econometrics, including quantitative game theory, multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, ... Read more

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Conceptual Econometrics Using R, Volume 41 provides state-of-the-art information on important topics in econometrics, including quantitative game theory, multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification,
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Multidimensional Signal Processing

by Arni S.R. Srinivasa Rao, Kumar Vijay Mishra, Gonzalo R. Arce ...

Series Book 54 - Handbook of Statistics
Multidimensional Signal Processing, Volume 54 in the Handbook of Statistics series is dedicated to presenting the latest developments and methodologies in multidimensional signal processing. The book aims to provide a comprehensive overview of the theories, models, and methods that form the foundation of this field. Chapters in this new release include Robust Parameter Estimation of Two ... Read more

₹12,187.26

Multidimensional Signal Processing, Volume 54 in the Handbook of Statistics series is dedicated to presenting the latest developments and methodologies in multidimensional signal processing. The book aims to provide a comprehensive overview of the theories, models, and methods that form the foundation of this field. Chapters in this new release include Robust Parameter Estimation of Two
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Mathematics of Computational Finance

by Andrzej Palczewski ...

The book focuses on numerical methods for derivative pricing with an emphasis on their mathematical foundations. It offers the most frequently explored numerical methods of derivative pricing and covers the material of standard courses in computational finance. The book presents the best-known methods of multinomial trees, Monte Carlo simulations for European, American, and exotic options, and ... Read more

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The book focuses on numerical methods for derivative pricing with an emphasis on their mathematical foundations. It offers the most frequently explored numerical methods of derivative pricing and covers the material of standard courses in computational finance. The book presents the best-known methods of multinomial trees, Monte Carlo simulations for European, American, and exotic options, and
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An Introduction to Stochastic Modeling

by Gabriel Lord, Cónall Kelly ...

An Introduction to Stochastic Modeling, Fifth Edition bridges the gap between basic probability and an intermediate level course in stochastic processes, serving as the foundation for either a one-semester or two-semester course in stochastic processes for students familiar with elementary probability theory and calculus. The objectives are to introduce students to the standard concepts and ... Read more

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An Introduction to Stochastic Modeling, Fifth Edition bridges the gap between basic probability and an intermediate level course in stochastic processes, serving as the foundation for either a one-semester or two-semester course in stochastic processes for students familiar with elementary probability theory and calculus. The objectives are to introduce students to the standard concepts and
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Stochastic Neuron Models

by Lawrence M. Ward, Priscilla E. Greenwood ...

Series Book 1.5 - Mathematical Biosciences Institute Lecture Series
This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these ... Read more

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This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these
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Introduction to Probability and Statistics for Engineers

by Milan Holický ...

The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical ... Read more

₹3,360.63

The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical
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Analysis and Approximation of Rare Events

Representations and Weak Convergence Methods

by Amarjit Budhiraja, Paul Dupuis ...

Series Book 94 - Probability Theory and Stochastic Modelling
This book presents broadly applicable methods for the large deviation and moderate deviation analysis of discrete and continuous time stochastic systems. A feature of the book is the systematic use of variational representations for quantities of interest such as normalized logarithms of probabilities and expected values. By characterizing a large deviation principle in terms of Laplace ... Read more

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This book presents broadly applicable methods for the large deviation and moderate deviation analysis of discrete and continuous time stochastic systems. A feature of the book is the systematic use of variational representations for quantities of interest such as normalized logarithms of probabilities and expected values. By characterizing a large deviation principle in terms of Laplace
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Recommended For You

Probability eBooks

Introduction to Probability, Second Edition

Examples In Markov Decision Processes

Modern Time Series Forecasting with Python

Pandemics: Insurance and Social Protection

Fundamentals of Computational Neuroscience

An Introduction to Probability

Mathematical Methods in Elasticity Imaging

Elements of Stochastic Modelling

Simulating Copulas: Stochastic Models, Sampling Algorithms, And Applications (Second Edition)

Nonlinearly Perturbed Semi-Markov Processes

Perturbed Semi-Markov Type Processes II

Occupancy Estimation and Modeling

Asymptotic and Methodological Statistics

Asymptotic Properties of Permanental Sequences

Random Processes

Diffusion Under Confinement

Basics of Probability and Stochastic Processes

Conceptual Econometrics Using R

Multidimensional Signal Processing

Mathematics of Computational Finance

An Introduction to Stochastic Modeling

Stochastic Neuron Models

Introduction to Probability and Statistics for Engineers

Analysis and Approximation of Rare Events