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A Modern Theory of Random Variation

Author: Patrick Muldowney

Publisher: John Wiley & Sons

Published: 2013-04-26

Total Pages: 493

ISBN-13: 1118345940

A ground-breaking and practical treatment of probability and stochastic processes A Modern Theory of Random Variation is a new and radical re-formulation of the mathematical underpinnings of subjects as diverse as investment, communication engineering, and quantum mechanics. Setting aside the classical theory of probability measure spaces, the book utilizes a mathematically rigorous version of the theory of random variation that bases itself exclusively on finitely additive probability distribution functions. In place of twentieth century Lebesgue integration and measure theory, the author uses the simpler concept of Riemann sums, and the non-absolute Riemann-type integration of Henstock. Readers are supplied with an accessible approach to standard elements of probability theory such as the central limmit theorem and Brownian motion as well as remarkable, new results on Feynman diagrams and stochastic integrals. Throughout the book, detailed numerical demonstrations accompany the discussions of abstract mathematical theory, from the simplest elements of the subject to the most complex. In addition, an array of numerical examples and vivid illustrations showcase how the presented methods and applications can be undertaken at various levels of complexity. A Modern Theory of Random Variation is a suitable book for courses on mathematical analysis, probability theory, and mathematical finance at the upper-undergraduate and graduate levels. The book is also an indispensible resource for researchers and practitioners who are seeking new concepts, techniques and methodologies in data analysis, numerical calculation, and financial asset valuation. Patrick Muldowney, PhD, served as lecturer at the Magee Business School of the UNiversity of Ulster for over twenty years. Dr. Muldowney has published extensively in his areas of research, including integration theory, financial mathematics, and random variation.

Modern Theory of Summation of Random Variables

Author: Vladimir M. Zolotarev

Publisher: Walter de Gruyter

Published: 2011-09-06

Total Pages: 429

ISBN-13: 3110936534

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The series is devoted to the publication of high-level monographs and surveys which cover the whole spectrum of probability and statistics. The books of the series are addressed to both experts and advanced students.

Modern Theory of Summation of Random Variables

Author: V. M. Zolotarev

Publisher:

Published:

Total Pages:

ISBN-13: 9783110631241

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A Modern Approach to Probability Theory

Author: Bert E. Fristedt

Publisher: Springer Science & Business Media

Published: 2013-11-21

Total Pages: 775

ISBN-13: 1489928375

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Students and teachers of mathematics and related fields will find this book a comprehensive and modern approach to probability theory, providing the background and techniques to go from the beginning graduate level to the point of specialization in research areas of current interest. The book is designed for a two- or three-semester course, assuming only courses in undergraduate real analysis or rigorous advanced calculus, and some elementary linear algebra. A variety of applications—Bayesian statistics, financial mathematics, information theory, tomography, and signal processing—appear as threads to both enhance the understanding of the relevant mathematics and motivate students whose main interests are outside of pure areas.

Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics

Author: Patrick Muldowney

Publisher: John Wiley & Sons

Published: 2021-04-20

Total Pages: 56

ISBN-13: 1119595495

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GAUGE INTEGRAL STRUCTURES FOR STOCHASTIC CALCULUS AND QUANTUM ELECTRODYNAMICS A stand-alone introduction to specific integration problems in the probabilistic theory of stochastic calculus Picking up where his previous book, A Modern Theory of Random Variation, left off, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics introduces readers to particular problems of integration in the probability-like theory of quantum mechanics. Written as a motivational explanation of the key points of the underlying mathematical theory, and including ample illustrations of the calculus, this book relies heavily on the mathematical theory set out in the author’s previous work. That said, this work stands alone and does not require a reading of A Modern Theory of Random Variation in order to be understandable. Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics takes a gradual, relaxed, and discursive approach to the subject in a successful attempt to engage the reader by exploring a narrower range of themes and problems. Organized around examples with accompanying introductions and explanations, the book covers topics such as: Stochastic calculus, including discussions of random variation, integration and probability, and stochastic processes Field theory, including discussions of gauges for product spaces and quantum electrodynamics Robust and thorough appendices, examples, illustrations, and introductions for each of the concepts discussed within An introduction to basic gauge integral theory (for those unfamiliar with the author’s previous book) The methods employed in this book show, for instance, that it is no longer necessary to resort to unreliable “Black Box” theory in financial calculus; that full mathematical rigor can now be combined with clarity and simplicity. Perfect for students and academics with even a passing interest in the application of the gauge integral technique pioneered by R. Henstock and J. Kurzweil, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics is an illuminating and insightful exploration of the complex mathematical topics contained within.

Random Measures, Theory and Applications

Author: Olav Kallenberg

Publisher: Springer

Published: 2017-04-12

Total Pages: 680

ISBN-13: 3319415980

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Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic properties of Poisson and related processes to the modern theories of convergence, stationarity, Palm measures, conditioning, and compensation. The three large final chapters focus on applications within the areas of stochastic geometry, excursion theory, and branching processes. Although this theory plays a fundamental role in most areas of modern probability, much of it, including the most basic material, has previously been available only in scores of journal articles. The book is primarily directed towards researchers and advanced graduate students in stochastic processes and related areas.

Probability and Stochastics

Author: Erhan Çınlar

Publisher: Springer Science & Business Media

Published: 2011-02-21

Total Pages: 567

ISBN-13: 0387878599

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This text is an introduction to the modern theory and applications of probability and stochastics. The style and coverage is geared towards the theory of stochastic processes, but with some attention to the applications. In many instances the gist of the problem is introduced in practical, everyday language and then is made precise in mathematical form. The first four chapters are on probability theory: measure and integration, probability spaces, conditional expectations, and the classical limit theorems. There follows chapters on martingales, Poisson random measures, Levy Processes, Brownian motion, and Markov Processes. Special attention is paid to Poisson random measures and their roles in regulating the excursions of Brownian motion and the jumps of Levy and Markov processes. Each chapter has a large number of varied examples and exercises. The book is based on the author’s lecture notes in courses offered over the years at Princeton University. These courses attracted graduate students from engineering, economics, physics, computer sciences, and mathematics. Erhan Cinlar has received many awards for excellence in teaching, including the President’s Award for Distinguished Teaching at Princeton University. His research interests include theories of Markov processes, point processes, stochastic calculus, and stochastic flows. The book is full of insights and observations that only a lifetime researcher in probability can have, all told in a lucid yet precise style.

Probability Theory

Author: R.G. Laha

Publisher: Courier Dover Publications

Published: 2020-05-21

Total Pages: 576

ISBN-13: 0486842304

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This comprehensive presentation of the basic concepts of probability theory examines both classical and modern methods. The treatment emphasizes the relationship between probability theory and mathematical analysis, and it stresses applications to statistics as well as to analysis. Topics include: • The laws of large numbers • Distribution and characteristic functions • The central limit problem • Dependence • Random variables taking values in a normed linear space Each chapter features worked examples in addition to problems, and bibliographical references to supplementary reading material enhance the text. For advanced undergraduates and graduate students in mathematics.

Radically Elementary Probability Theory

Author: Edward Nelson

Publisher: Princeton University Press

Published: 1987

Total Pages: 112

ISBN-13: 9780691084749

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Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is made possible by using a small amount of Abraham Robinson's nonstandard analysis and not attempting to convert the results into conventional form.

A Modern Theory of Evolution

Author: Carl J. Becker

Publisher: iUniverse

Published: 2010-04-09

Total Pages: 358

ISBN-13: 1450224504

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While the discoveries of modern academia have deconstructed and replaced all of Victorian science in detail we remain addicted to the Darwinian theory of biological evolution. Darwinists bicker with their dialectical counterpart, Creationism, as if nothing else could possibly exist. Is it not past time for us to evolve into the 21st century and reflect the database of modern science, or is this yet another cultural institution that is too big to fail? Letters of Recommendation I thoroughly enjoy your writing and your play with ideas. Dare I confess that I keep your book on my night table and sample it at the end of the evening to settle my mind for sleep. I am pleased to know you as my former student. Walter J. Freeman III, Department of Molecular and Cell Biology, University of California, Berkeley Thank you for your most enjoyable MS. A lovely piece: scholarly and entertaining, witty-ironic and educational, comic and playful, fine-tuned psychologically and easily flowing-streaming Roland Fischer, Department of Philosophy, University of the Balearic Islands As a microbiologist, I must say that it is impeccable. Mario Vaneechoutte, Department of Clinical Chemistry, University Hospital, Ghent The kind of work you are doing, which has merit in itself, is not appreciated by any run-of-the-mill academic unit in Universities that I know. Roger Hahn, Department of History, University of California, Berkeley