Foundations of Quantization for Probability Distributions

Foundations of Quantization for Probability Distributions PDF Author: Siegfried Graf
Publisher: Springer
ISBN: 3540455779
Category : Mathematics
Languages : en
Pages : 238

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Book Description
Due to the rapidly increasing need for methods of data compression, quantization has become a flourishing field in signal and image processing and information theory. The same techniques are also used in statistics (cluster analysis), pattern recognition, and operations research (optimal location of service centers). The book gives the first mathematically rigorous account of the fundamental theory underlying these applications. The emphasis is on the asymptotics of quantization errors for absolutely continuous and special classes of singular probabilities (surface measures, self-similar measures) presenting some new results for the first time. Written for researchers and graduate students in probability theory the monograph is of potential interest to all people working in the disciplines mentioned above.

Foundations of Quantization for Probability Distributions

Foundations of Quantization for Probability Distributions PDF Author: Siegfried Graf
Publisher: Springer
ISBN: 3540455779
Category : Mathematics
Languages : en
Pages : 238

Get Book Here

Book Description
Due to the rapidly increasing need for methods of data compression, quantization has become a flourishing field in signal and image processing and information theory. The same techniques are also used in statistics (cluster analysis), pattern recognition, and operations research (optimal location of service centers). The book gives the first mathematically rigorous account of the fundamental theory underlying these applications. The emphasis is on the asymptotics of quantization errors for absolutely continuous and special classes of singular probabilities (surface measures, self-similar measures) presenting some new results for the first time. Written for researchers and graduate students in probability theory the monograph is of potential interest to all people working in the disciplines mentioned above.

Séminaire de Probabilités XLIII

Séminaire de Probabilités XLIII PDF Author: Catherine Donati Martin
Publisher: Springer Science & Business Media
ISBN: 3642152163
Category : Mathematics
Languages : en
Pages : 511

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Book Description
This is a new volume of the Séminaire de Probabilités which is now in its 43rd year. Following the tradition, this volume contains about 20 original research and survey articles on topics related to stochastic analysis. It contains an advanced course of J. Picard on the representation formulae for fractional Brownian motion. The regular chapters cover a wide range of themes, such as stochastic calculus and stochastic differential equations, stochastic differential geometry, filtrations, analysis on Wiener space, random matrices and free probability, as well as mathematical finance. Some of the contributions were presented at the Journées de Probabilités held in Poitiers in June 2009.

Foundations of Computational Mathematics, Budapest 2011

Foundations of Computational Mathematics, Budapest 2011 PDF Author: Society for the Foundation of Computational Mathematics
Publisher: Cambridge University Press
ISBN: 1107604079
Category : Computers
Languages : en
Pages : 249

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Book Description
A diverse collection of articles by leading experts in computational mathematics, written to appeal to established researchers and non-experts.

Numerical Probability

Numerical Probability PDF Author: Gilles Pagès
Publisher: Springer
ISBN: 3319902768
Category : Mathematics
Languages : en
Pages : 591

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Book Description
This textbook provides a self-contained introduction to numerical methods in probability with a focus on applications to finance. Topics covered include the Monte Carlo simulation (including simulation of random variables, variance reduction, quasi-Monte Carlo simulation, and more recent developments such as the multilevel paradigm), stochastic optimization and approximation, discretization schemes of stochastic differential equations, as well as optimal quantization methods. The author further presents detailed applications to numerical aspects of pricing and hedging of financial derivatives, risk measures (such as value-at-risk and conditional value-at-risk), implicitation of parameters, and calibration. Aimed at graduate students and advanced undergraduate students, this book contains useful examples and over 150 exercises, making it suitable for self-study.

Mathematical Modelling and Numerical Methods in Finance

Mathematical Modelling and Numerical Methods in Finance PDF Author: Alain Bensoussan
Publisher: Elsevier
ISBN: 0080931006
Category : Mathematics
Languages : en
Pages : 743

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Book Description
Mathematical finance is a prolific scientific domain in which there exists a particular characteristic of developing both advanced theories and practical techniques simultaneously. Mathematical Modelling and Numerical Methods in Finance addresses the three most important aspects in the field: mathematical models, computational methods, and applications, and provides a solid overview of major new ideas and results in the three domains. - Coverage of all aspects of quantitative finance including models, computational methods and applications - Provides an overview of new ideas and results - Contributors are leaders of the field

Riemannian Metrics of Constant Mass and Moduli Spaces of Conformal Structures

Riemannian Metrics of Constant Mass and Moduli Spaces of Conformal Structures PDF Author: Lutz Habermann
Publisher: Springer Science & Business Media
ISBN: 9783540679875
Category : Mathematics
Languages : en
Pages : 136

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Book Description
This monograph deals with recent questions of conformal geometry. It provides in detail an approach to studying moduli spaces of conformal structures, using a new canonical metric for conformal structures. This book is accessible to readers with basic knowledge in differential geometry and global analysis. It addresses graduates and researchers.

Handbook of Computational and Numerical Methods in Finance

Handbook of Computational and Numerical Methods in Finance PDF Author: Svetlozar T. Rachev
Publisher: Springer Science & Business Media
ISBN: 0817681809
Category : Mathematics
Languages : en
Pages : 438

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Book Description
The subject of numerical methods in finance has recently emerged as a new discipline at the intersection of probability theory, finance, and numerical analysis. The methods employed bridge the gap between financial theory and computational practice, and provide solutions for complex problems that are difficult to solve by traditional analytical methods. Although numerical methods in finance have been studied intensively in recent years, many theoretical and practical financial aspects have yet to be explored. This volume presents current research and survey articles focusing on various numerical methods in finance. The book is designed for the academic community and will also serve professional investors.

Fractal Geometry and Stochastics V

Fractal Geometry and Stochastics V PDF Author: Christoph Bandt
Publisher: Birkhäuser
ISBN: 3319186604
Category : Mathematics
Languages : en
Pages : 339

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Book Description
This book collects significant contributions from the fifth conference on Fractal Geometry and Stochastics held in Tabarz, Germany, in March 2014. The book is divided into five topical sections: geometric measure theory, self-similar fractals and recurrent structures, analysis and algebra on fractals, multifractal theory, and random constructions. Each part starts with a state-of-the-art survey followed by papers covering a specific aspect of the topic. The authors are leading world experts and present their topics comprehensibly and attractively. Both newcomers and specialists in the field will benefit from this book.

Applied Analysis, Optimization and Soft Computing

Applied Analysis, Optimization and Soft Computing PDF Author: Tanmoy Som
Publisher: Springer Nature
ISBN: 9819905974
Category : Mathematics
Languages : en
Pages : 425

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Book Description
This book contains select contributions presented at the International Conference on Nonlinear Applied Analysis and Optimization (ICNAAO-2021), held at the Department of Mathematics Sciences, Indian Institute of Technology (BHU) Varanasi, India, from 21–23 December 2021. The book discusses topics in the areas of nonlinear analysis, fixed point theory, dynamical systems, optimization, fractals, applications to differential/integral equations, signal and image processing, and soft computing, and exposes the young talents with the newer dimensions in these areas with their practical approaches and to tackle the real-life problems in engineering, medical and social sciences. Scientists from the U.S.A., Austria, France, Mexico, Romania, and India have contributed their research. All the submissions are peer reviewed by experts in their fields.

Seminaire de Probabilites XXXV

Seminaire de Probabilites XXXV PDF Author: J. Azema
Publisher: Springer Science & Business Media
ISBN: 9783540416593
Category : Mathematics
Languages : en
Pages : 444

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Book Description
Researchers and graduate students in the theory of stochastic processes will find in this 35th volume some thirty articles on martingale theory, martingales and finance, analytical inequalities and semigroups, stochastic differential equations, functionals of Brownian motion and of Lévy processes. Ledoux's article contains a self-contained introduction to the use of semigroups in spectral gaps and logarithmic Sobolev inequalities; the contribution by Emery and Schachermayer includes an exposition for probabilists of Vershik's theory of backward discrete filtrations.