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MACHINE LEARNING. SUPERVISED LEARNING THROUGH R. SCIKIT LEARN

by 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 ... Read more

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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
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Series Book 5 - Peking University Series In Mathematics
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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.
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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 ... Read more

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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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First Look At Stochastic Processes, A

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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 ... Read more

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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
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Examples In Markov Decision Processes

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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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by 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 ... Read more

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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
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Series Book 5 - Nonlinear Time Series And Chaos
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SUPERVISED LEARNING TECHNIQUES: REGRESSION AND DYNAMIC MODELS. EXAMPLES WITH EVIEWS

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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 ... Read more

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Probability And Randomness: Quantum Versus Classical

by 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 ... Read more

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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
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Quantum Techniques In Stochastic Mechanics

by 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 ... Read more

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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
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Bayesian Filtering and Smoothing

by Simo Särkkä ...

Series Book 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 ... Read more

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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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Modelling Non-Markovian Quantum Systems Using Tensor Networks

by Aidan Strathearn ...

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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
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Semigroups of Linear Operators

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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
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Asymptotic Analysis of Random Walks

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by A. A. Borovkov ...

Series Book 176 - Encyclopedia of Mathematics and its Applications
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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
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Series Book 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 ... Read more

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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
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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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by Yannick Lowin, Daniel Lüchow, Stefan Mirsch ...

Studienarbeit aus dem Jahr 2009 im Fachbereich Mathematik - Statistik, Note: 1,7, Georg-August-Universität Göttingen (Institut für Soziologie), Veranstaltung: Statistik II, Sprache: Deutsch, Abstract: Das Grundproblem, mit dem sich die Bundesregierung im Jahre 2002 konfrontiert sah, war die steigende Arbeitslosigkeit. Als wesentliche Quelle dafür wurden Strukturprobleme ausgemacht. Zudem wurden ... Read more

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Studienarbeit aus dem Jahr 2009 im Fachbereich Mathematik - Statistik, Note: 1,7, Georg-August-Universität Göttingen (Institut für Soziologie), Veranstaltung: Statistik II, Sprache: Deutsch, Abstract: Das Grundproblem, mit dem sich die Bundesregierung im Jahre 2002 konfrontiert sah, war die steigende Arbeitslosigkeit. Als wesentliche Quelle dafür wurden Strukturprobleme ausgemacht. Zudem wurden
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Introduction to Stochastic Processes

by Gregory F. Lawler ...

Series 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 ... Read more

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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
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Studying The Iterative Principal Axis Transformation algorithm and its correctness according to X^2-test proposed by Rippe D.D. using R program

by Seyed Amir Beheshti ...

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Bachelor Thesis from the year 2009 in the subject Mathematics - Statistics, grade: 1, Vienna University of Technology, language: English, abstract: 1 What is Factor Analysis? Factor Analysis is a method often used in statistics to examine and analyze the relationship between a larger numbers of variables to find a smaller number of Factors which explain the relationship between the original
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by Peter Freesen ...

Projektarbeit aus dem Jahr 2009 im Fachbereich Mathematik - Statistik, Note: 2,7, Universität Siegen, Veranstaltung: Deskriptive Statistik, Sprache: Deutsch, Abstract: Ziel der Projektarbeit war es, 2 Aktienkurse an zehn aufeinanderfolgenden Tagen zu vergleichen. Eine der Aktien sollte im DAX30 gelistet sein, die zweite nicht. Die verschiedenen Kursverläufe sollten anhand verschiedener ... Read more

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Korrelationsanalyse zwischen der Zahl der Ausländer/HLU-Empfänger und der Häufigkeit begangener Straftaten in Niedersachsen im Jahr 2003

by Stefan Bartels ...

Studienarbeit aus dem Jahr 2005 im Fachbereich Mathematik - Statistik, Note: nicht bewertet, Gottfried Wilhelm Leibniz Universität Hannover (Institut für Politische Wissenschaft), Veranstaltung: Deskriptive Statistik, Sprache: Deutsch, Abstract: Die nachstehende Untersuchung verfolgt grundlegend das Ziel, herauszufinden, ob und inwiefern ein Zusammenhang zwischen der Anzahl der Ausländer, bzw. der ... Read more

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Multiple Non-Linear Regression Analysis

by Markus Schief ...

Project Report from the year 2008 in the subject Mathematics - Statistics, grade: A, University of West Florida, language: English, abstract: Statistical analyses are very important today. In many areas like science or economics, for example, statistical analyses are used to support assumptions and to predict future data. With regards to business administration, modern business statistics can be ... Read more

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Project Report from the year 2008 in the subject Mathematics - Statistics, grade: A, University of West Florida, language: English, abstract: Statistical analyses are very important today. In many areas like science or economics, for example, statistical analyses are used to support assumptions and to predict future data. With regards to business administration, modern business statistics can be
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Stochastic Geometric Analysis with Applications

by 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 ... Read more

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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
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MACHINE LEARNING. SUPERVISED LEARNING THROUGH R. SCIKIT LEARN

Arbitrage, Credit And Informational Risks

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First Look At Stochastic Processes, A

Examples In Markov Decision Processes

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

Probability And Randomness: Quantum Versus Classical

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Semigroups of Linear Operators

Asymptotic Analysis of Random Walks

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Statistische Analysen der Vorschläge der Hartzkommission, ihre Realisierung und ihre Auswirkungen auf dem Arbeitsmarkt

Introduction to Stochastic Processes

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Statistischer Vergleich von zwei Börsenkursen

Korrelationsanalyse zwischen der Zahl der Ausländer/HLU-Empfänger und der Häufigkeit begangener Straftaten in Niedersachsen im Jahr 2003

Multiple Non-Linear Regression Analysis

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