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おすすめ

MACHINE LEARNING. SUPERVISED LEARNING THROUGH R. SCIKIT LEARN

− César Pérez López ...

The goal of supervised machine learning is to build a model that makes evidence-based predictions in the presence of uncertainty. A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reasonable predictions for the response to new data. Supervised learning uses classification and regression techniques to develop ... もっと見る

1,881 円

The goal of supervised machine learning is to build a model that makes evidence-based predictions in the presence of uncertainty. A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reasonable predictions for the response to new data. Supervised learning uses classification and regression techniques to develop
... もっと見る
Arbitrage, Credit And Informational Risks

− Ying Jiao, Caroline Hillairet, Monique Jeanblanc ...

シリーズ本: 5 - Peking University Series In Mathematics
This book contains a collection of research papers in mathematical finance covering recent advances in arbitrage, credit and asymmetric information risks. These subjects have attracted academic and practical attention, in particular after the international financial crisis. The volume is split into three parts which treat each of these topics. ... もっと見る

3,897 円

This book contains a collection of research papers in mathematical finance covering recent advances in arbitrage, credit and asymmetric information risks. These subjects have attracted academic and practical attention, in particular after the international financial crisis. The volume is split into three parts which treat each of these topics.
... もっと見る
Crowds In Equations: An Introduction To The Microscopic Modeling Of Crowds

− Bertrand Maury, Sylvain Faure ...

シリーズ 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 ... もっと見る

4,098 円

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
... もっと見る
First Look At Stochastic Processes, A

− Jeffrey S Rosenthal ...

This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and ... もっと見る

3,077 円

This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and
... もっと見る
Examples In Markov Decision Processes

− Alexey B Piunovskiy ...

シリーズ本: 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 ... もっと見る

4,103 円

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
... もっと見る
Probability: Theory, Examples, Problems, Simulations

− Hannelore Lisei, Wilfried Grecksch, Mihai Iancu ...

A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical ... もっと見る

4,718 円

A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical
... もっと見る
Limit Theorems For Nonlinear Cointegrating Regression

− Qiying Wang ...

シリーズ本: 5 - Nonlinear Time Series And Chaos
This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression. The topics include weak convergence to a local time process, weak convergence to a mixture of normal distributions and weak convergence to stochastic integrals. This book also investigates estimation and inference theory in nonlinear cointegrating regression.The core context of this ... もっと見る

4,820 円

This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression. The topics include weak convergence to a local time process, weak convergence to a mixture of normal distributions and weak convergence to stochastic integrals. This book also investigates estimation and inference theory in nonlinear cointegrating regression.The core context of this
... もっと見る
SUPERVISED LEARNING TECHNIQUES: REGRESSION AND DYNAMIC MODELS. EXAMPLES WITH EVIEWS

− C. PEREZ ...

In this book, supervised learning techniques (predictive techniques) related to regression will be developed. More specifically, we will go deeper into the linear models multiple regression with all their problems of identification, estimation and diagnosis. Dynamic models and univariate time series models are also contemplated. Almon, Koyck, Klein, and other dynamic models are developed. An ... もっと見る

1,252 円

In this book, supervised learning techniques (predictive techniques) related to regression will be developed. More specifically, we will go deeper into the linear models multiple regression with all their problems of identification, estimation and diagnosis. Dynamic models and univariate time series models are also contemplated. Almon, Koyck, Klein, and other dynamic models are developed. An
... もっと見る
Probability And Randomness: Quantum Versus Classical

− Andrei Yu Khrennikov ...

Creating a rigorous mathematical theory of randomness is far from being complete, even in the classical case. Probability and Randomness: Quantum versus Classical rectifies this and introduces mathematical formalisms of classical and quantum probability and randomness with brief discussion of their interrelation and interpretational and foundational issues. The book presents the essentials of ... もっと見る

4,820 円

Creating a rigorous mathematical theory of randomness is far from being complete, even in the classical case. Probability and Randomness: Quantum versus Classical rectifies this and introduces mathematical formalisms of classical and quantum probability and randomness with brief discussion of their interrelation and interpretational and foundational issues. The book presents the essentials of
... もっと見る
Quantum Techniques In Stochastic Mechanics

− Jacob D Biamonte, John C Baez ...

We introduce the theory of chemical reaction networks and their relation to stochastic Petri nets — important ways of modeling population biology and many other fields. We explain how techniques from quantum mechanics can be used to study these models. This relies on a profound and still mysterious analogy between quantum theory and probability theory, which we explore in detail. We also give a ... もっと見る

8,000 円

We introduce the theory of chemical reaction networks and their relation to stochastic Petri nets — important ways of modeling population biology and many other fields. We explain how techniques from quantum mechanics can be used to study these models. This relies on a profound and still mysterious analogy between quantum theory and probability theory, which we explore in detail. We also give a
... もっと見る
Bayesian Filtering and Smoothing

− Simo Särkkä ...

シリーズ本: 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 ... もっと見る

5,863 円

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
... もっと見る
Modelling Non-Markovian Quantum Systems Using Tensor Networks

− Aidan Strathearn ...

シリーズ series Physics and Astronomy (R0)
This thesis presents a revolutionary technique for modelling the dynamics of a quantum system that is strongly coupled to its immediate environment. This is a challenging but timely problem. In particular it is relevant for modelling decoherence in devices such as quantum information processors, and how quantum information moves between spatially separated parts of a quantum system.The key feature ... もっと見る

15,800 円

This thesis presents a revolutionary technique for modelling the dynamics of a quantum system that is strongly coupled to its immediate environment. This is a challenging but timely problem. In particular it is relevant for modelling decoherence in devices such as quantum information processors, and how quantum information moves between spatially separated parts of a quantum system.The key feature
... もっと見る
Semigroups of Linear Operators

With Applications to Analysis, Probability and Physics

− David Applebaum ...

シリーズ本: 93 - London Mathematical Society Student Texts
The theory of semigroups of operators is one of the most important themes in modern analysis. Not only does it have great intellectual beauty, but also wide-ranging applications. In this book the author first presents the essential elements of the theory, introducing the notions of semigroup, generator and resolvent, and establishes the key theorems of Hille–Yosida and Lumer–Phillips that give ... もっと見る

7,228 円

The theory of semigroups of operators is one of the most important themes in modern analysis. Not only does it have great intellectual beauty, but also wide-ranging applications. In this book the author first presents the essential elements of the theory, introducing the notions of semigroup, generator and resolvent, and establishes the key theorems of Hille–Yosida and Lumer–Phillips that give
... もっと見る
Asymptotic Analysis of Random Walks

Light-Tailed Distributions

翻訳 Mikhail Zhitlukhin, V. V. Ulyanov ...

− A. A. Borovkov ...

シリーズ本: 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 ... もっと見る

24,413 円

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
... もっと見る
Ergodic Control of Diffusion Processes

− Ari Arapostathis, Vivek S. Borkar, Mrinal K. Ghosh ...

シリーズ本: 143 - Encyclopedia of Mathematics and its Applications
This comprehensive volume on ergodic control for diffusions highlights intuition alongside technical arguments. A concise account of Markov process theory is followed by a complete development of the fundamental issues and formalisms in control of diffusions. This then leads to a comprehensive treatment of ergodic control, a problem that straddles stochastic control and the ergodic theory of ... もっと見る

19,912 円

This comprehensive volume on ergodic control for diffusions highlights intuition alongside technical arguments. A concise account of Markov process theory is followed by a complete development of the fundamental issues and formalisms in control of diffusions. This then leads to a comprehensive treatment of ergodic control, a problem that straddles stochastic control and the ergodic theory of
... もっと見る
Uniform Central Limit Theorems

− R. M. Dudley ...

シリーズ本: 142 - Cambridge Studies in Advanced Mathematics
In this new edition of a classic work on empirical processes the author, an acknowledged expert, gives a thorough treatment of the subject with the addition of several proved theorems not included in the first edition, including the Bretagnolle–Massart theorem giving constants in the Komlos–Major–Tusnady rate of convergence for the classical empirical process, Massart's form of the Dvoretzky ... もっと見る

9,138 円

In this new edition of a classic work on empirical processes the author, an acknowledged expert, gives a thorough treatment of the subject with the addition of several proved theorems not included in the first edition, including the Bretagnolle–Massart theorem giving constants in the Komlos–Major–Tusnady rate of convergence for the classical empirical process, Massart's form of the Dvoretzky
... もっと見る
Introduction to Banach Spaces: Analysis and Probability: Volume 2

− Daniel Li, Hervé Queffélec ...

翻訳 Danièle Gibbons, Greg Gibbons ...

シリーズ本: 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 ... もっと見る

16,913 円

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
... もっと見る
Introduction to Stochastic Processes

− Gregory F. Lawler ...

シリーズ series Chapman & Hall/CRC Probability Series
Emphasizing fundamental mathematical ideas rather than proofs, Introduction to Stochastic Processes, Second Edition provides quick access to important foundations of probability theory applicable to problems in many fields. Assuming that you have a reasonable level of computer literacy, the ability to write simple programs, and the access to software for linear algebra computations, the author ... もっと見る

23,868 円

Emphasizing fundamental mathematical ideas rather than proofs, Introduction to Stochastic Processes, Second Edition provides quick access to important foundations of probability theory applicable to problems in many fields. Assuming that you have a reasonable level of computer literacy, the ability to write simple programs, and the access to software for linear algebra computations, the author
... もっと見る
Stochastic Geometric Analysis with Applications

− Ovidiu Calin ...

This book is a comprehensive exploration of the interplay between Stochastic Analysis, Geometry, and Partial Differential Equations (PDEs). It aims to investigate the influence of geometry on diffusions induced by underlying structures, such as Riemannian or sub-Riemannian geometries, and examine the implications for solving problems in PDEs, mathematical finance, and related fields. The book aims ... もっと見る

16,117 円

This book is a comprehensive exploration of the interplay between Stochastic Analysis, Geometry, and Partial Differential Equations (PDEs). It aims to investigate the influence of geometry on diffusions induced by underlying structures, such as Riemannian or sub-Riemannian geometries, and examine the implications for solving problems in PDEs, mathematical finance, and related fields. The book aims
... もっと見る
Introduction To Differential Equations, An: Stochastic Modeling, Methods And Analysis (Volume 2)

− Anilchandra G Ladde, Gangaram S Ladde ...

6,359 円
Dynamic Markov Bridges and Market Microstructure

Theory and Applications

− Umut Çetin, Albina Danilova ...

シリーズ本: 90 - Probability Theory and Stochastic Modelling
This book undertakes a detailed construction of Dynamic Markov Bridges using a combination of theory and real-world applications to drive home important concepts and methodologies. In Part I, theory is developed using tools from stochastic filtering, partial differential equations, Markov processes, and their interplay. Part II is devoted to the applications of the theory developed in Part I to ... もっと見る

15,800 円

This book undertakes a detailed construction of Dynamic Markov Bridges using a combination of theory and real-world applications to drive home important concepts and methodologies. In Part I, theory is developed using tools from stochastic filtering, partial differential equations, Markov processes, and their interplay. Part II is devoted to the applications of the theory developed in Part I to
... もっと見る
Decision Making under Deep Uncertainty

From Theory to Practice

編集 Vincent A. W. J. Marchau, Warren E. Walker, Pieter J. T. M. Bloemen, Steven W. Popper ...

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools ... もっと見る

無料

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools
... もっと見る
Distribution Dependent Stochastic Differential Equations

− Feng-Yu Wang, Panpan Ren ...

シリーズ本: 5 - World Scientific Series on Probability Theory and Its Applications
Corresponding to the link of Itô's stochastic differential equations (SDEs) and linear parabolic equations, distribution dependent SDEs (DDSDEs) characterize nonlinear Fokker–Planck equations. This type of SDEs is named after McKean–Vlasov due to the pioneering work of H P McKean (1966), where an expectation dependent SDE is proposed to characterize nonlinear PDEs for Maxwellian gas. Moreover, by ... もっと見る

15,106 円

Corresponding to the link of Itô's stochastic differential equations (SDEs) and linear parabolic equations, distribution dependent SDEs (DDSDEs) characterize nonlinear Fokker–Planck equations. This type of SDEs is named after McKean–Vlasov due to the pioneering work of H P McKean (1966), where an expectation dependent SDE is proposed to characterize nonlinear PDEs for Maxwellian gas. Moreover, by
... もっと見る
Decentralized Insurance

Technical Foundation of Business Models

− Runhuan Feng ...

シリーズ series Springer Actuarial
The book offers an introduction to the technical foundation of decentralized insurance models, for advanced undergraduate students, graduate students and practitioners. The book is self-contained and anyone with a basic knowledge of probability and statistics should be able to follow through the entire book. It adopts a minimalist approach to describe the essential elements and first principles so ... もっと見る

15,800 円

The book offers an introduction to the technical foundation of decentralized insurance models, for advanced undergraduate students, graduate students and practitioners. The book is self-contained and anyone with a basic knowledge of probability and statistics should be able to follow through the entire book. It adopts a minimalist approach to describe the essential elements and first principles so
... もっと見る

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おすすめ

確率電子書籍

MACHINE LEARNING. SUPERVISED LEARNING THROUGH R. SCIKIT LEARN

Arbitrage, Credit And Informational Risks

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

First Look At Stochastic Processes, A

Examples In Markov Decision Processes

Probability: Theory, Examples, Problems, Simulations

Limit Theorems For Nonlinear Cointegrating Regression

SUPERVISED LEARNING TECHNIQUES: REGRESSION AND DYNAMIC MODELS. EXAMPLES WITH EVIEWS

Probability And Randomness: Quantum Versus Classical

Quantum Techniques In Stochastic Mechanics

Bayesian Filtering and Smoothing

Modelling Non-Markovian Quantum Systems Using Tensor Networks

Semigroups of Linear Operators

Asymptotic Analysis of Random Walks

Ergodic Control of Diffusion Processes

Uniform Central Limit Theorems

Introduction to Banach Spaces: Analysis and Probability: Volume 2

Introduction to Stochastic Processes

Stochastic Geometric Analysis with Applications

Introduction To Differential Equations, An: Stochastic Modeling, Methods And Analysis (Volume 2)

Dynamic Markov Bridges and Market Microstructure

Decision Making under Deep Uncertainty

Distribution Dependent Stochastic Differential Equations

Decentralized Insurance

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