Modern Problems Of Stochastic Analysis And Statistics

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Modern Problems of Stochastic Analysis and Statistics

Author : Vladimir Panov
Publisher : Springer
ISBN 13 : 331965313X
Total Pages : 506 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Modern Problems of Stochastic Analysis and Statistics by : Vladimir Panov

Download or read book Modern Problems of Stochastic Analysis and Statistics written by Vladimir Panov and published by Springer. This book was released on 2017-11-21 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the latest findings in the area of stochastic analysis and statistics. The individual chapters cover a wide range of topics from limit theorems, Markov processes, nonparametric methods, acturial science, population dynamics, and many others. The volume is dedicated to Valentin Konakov, head of the International Laboratory of Stochastic Analysis and its Applications on the occasion of his 70th birthday. Contributions were prepared by the participants of the international conference of the international conference “Modern problems of stochastic analysis and statistics”, held at the Higher School of Economics in Moscow from May 29 - June 2, 2016. It offers a valuable reference resource for researchers and graduate students interested in modern stochastics.

Handbook of Stochastic Analysis and Applications

Author : D. Kannan
Publisher : CRC Press
ISBN 13 : 1482294702
Total Pages : 808 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Handbook of Stochastic Analysis and Applications by : D. Kannan

Download or read book Handbook of Stochastic Analysis and Applications written by D. Kannan and published by CRC Press. This book was released on 2001-10-23 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to general theories of stochastic processes and modern martingale theory. The volume focuses on consistency, stability and contractivity under geometric invariance in numerical analysis, and discusses problems related to implementation, simulation, variable step size algorithms, and random number generation.

Bauablauf, Kosten, Störungen

Author : Hermann Bauer
Publisher :
ISBN 13 : 9780387567082
Total Pages : 300 pages
Book Rating : 4.5/5 (67 download)

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Book Synopsis Bauablauf, Kosten, Störungen by : Hermann Bauer

Download or read book Bauablauf, Kosten, Störungen written by Hermann Bauer and published by . This book was released on 1994 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Real and Stochastic AnalysisRecent Advances

Author : M.M. Rao
Publisher : CRC Press
ISBN 13 : 9780849380785
Total Pages : 426 pages
Book Rating : 4.3/5 (87 download)

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Book Synopsis Real and Stochastic AnalysisRecent Advances by : M.M. Rao

Download or read book Real and Stochastic AnalysisRecent Advances written by M.M. Rao and published by CRC Press. This book was released on 1997-03-06 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real and Stochastic Analysis: Recent Advances presents a carefully edited collection of research articles written by research mathematicians and highlighting advances in RSA. A balanced blend of both theory and applications, this book covers six aspects of stochastic analysis in depth and detail. The first chapters cover the state of the art in tracers analysis, stochastic modeling as it applies to AIDS epidemiology, and the current state of higher order SDEs. Subsequent chapters present a simple approach to Gaussian dichotomy, an overview of harmonizable processes, and stochastic Fubini and Green theorems. Common to all the chapters, the employment of functional analytic methods creates a unified approach. Each chapter includes detailed proofs. Throughout the book, a substantial amount of new material is presented, much of it for the first time. This forward-looking work presents current accounts of important areas of research, evaluates recent advances, and identifies research frontiers and new challenges.

Theory of Stochastic Processes

Author : Dmytro Gusak
Publisher : Springer Science & Business Media
ISBN 13 : 0387878629
Total Pages : 379 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Theory of Stochastic Processes by : Dmytro Gusak

Download or read book Theory of Stochastic Processes written by Dmytro Gusak and published by Springer Science & Business Media. This book was released on 2010-07-10 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing the necessary materials within a theoretical framework, this volume presents stochastic principles and processes, and related areas. Over 1000 exercises illustrate the concepts discussed, including modern approaches to sample paths and optimal stopping.

Real and Stochastic Analysis

Author : M. M. Rao
Publisher :
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.:/5 (44 download)

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Book Synopsis Real and Stochastic Analysis by : M. M. Rao

Download or read book Real and Stochastic Analysis written by M. M. Rao and published by . This book was released on 1986-07-14 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Very Good,No Highlights or Markup,all pages are intact.

Stochastic Models, Information Theory, and Lie Groups, Volume 2

Author : Gregory S. Chirikjian
Publisher : Springer Science & Business Media
ISBN 13 : 0817649441
Total Pages : 461 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Stochastic Models, Information Theory, and Lie Groups, Volume 2 by : Gregory S. Chirikjian

Download or read book Stochastic Models, Information Theory, and Lie Groups, Volume 2 written by Gregory S. Chirikjian and published by Springer Science & Business Media. This book was released on 2011-11-16 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby building bridges between fields that are rarely studied by the same people. Unlike the many excellent formal treatments available for each of these subjects individually, the emphasis in both of these volumes is on the use of stochastic, geometric, and group-theoretic concepts in the modeling of physical phenomena. Stochastic Models, Information Theory, and Lie Groups will be of interest to advanced undergraduate and graduate students, researchers, and practitioners working in applied mathematics, the physical sciences, and engineering. Extensive exercises, motivating examples, and real-world applications make the work suitable as a textbook for use in courses that emphasize applied stochastic processes or differential geometry.

Topics in Stochastic Analysis and Nonparametric Estimation

Author : Pao-Liu Chow
Publisher : Springer Science & Business Media
ISBN 13 : 0387751114
Total Pages : 223 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Topics in Stochastic Analysis and Nonparametric Estimation by : Pao-Liu Chow

Download or read book Topics in Stochastic Analysis and Nonparametric Estimation written by Pao-Liu Chow and published by Springer Science & Business Media. This book was released on 2010-07-19 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: To honor Rafail Z. Khasminskii, on his seventy-fifth birthday, for his contributions to stochastic processes and nonparametric estimation theory an IMA participating institution conference entitled "Conference on Asymptotic Analysis in Stochastic Processes, Nonparametric Estimation, and Related Problems" was held. This volume commemorates this special event. Dedicated to Professor Khasminskii, it consists of nine papers on various topics in probability and statistics.

Stochastic Processes: Theory and Methods

Author : D N Shanbhag
Publisher : Elsevier
ISBN 13 : 9780444500144
Total Pages : 996 pages
Book Rating : 4.5/5 (1 download)

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Book Synopsis Stochastic Processes: Theory and Methods by : D N Shanbhag

Download or read book Stochastic Processes: Theory and Methods written by D N Shanbhag and published by Elsevier. This book was released on 2001 with total page 996 pages. Available in PDF, EPUB and Kindle. Book excerpt: J. Neyman, one of the pioneers in laying the foundations of modern statistical theory, stressed the importance of stochastic processes in a paper written in 1960 in the following terms: Currently in the period of dynamic indeterminism in science, there is hardly a serious piece of research, if treated realistically, does not involve operations on stochastic processes. Arising from the need to solve practical problems, several major advances have taken place in the theory of stochastic processes and their applications. Books by Doob (1953; J. Wiley and Sons), Feller (1957, 1966; J. Wiley and Sons) and Loeve (1960; D. van Nostrand and Col., Inc.) among others, have created growing awareness and interest in the use of stochastic processes in scientific and technological studies.The literature on stochastic processes is very extensive and is distributed in several books and journals.

Theory and Statistical Applications of Stochastic Processes

Author : Yuliya Mishura
Publisher : John Wiley & Sons
ISBN 13 : 1119476631
Total Pages : 406 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Theory and Statistical Applications of Stochastic Processes by : Yuliya Mishura

Download or read book Theory and Statistical Applications of Stochastic Processes written by Yuliya Mishura and published by John Wiley & Sons. This book was released on 2017-11-29 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It combines classic topics such as construction of stochastic processes, associated filtrations, processes with independent increments, Gaussian processes, martingales, Markov properties, continuity and related properties of trajectories with contemporary subjects: integration with respect to Gaussian processes, Itȏ integration, stochastic analysis, stochastic differential equations, fractional Brownian motion and parameter estimation in diffusion models.

Stochastic Geometry

Author : David Coupier
Publisher : Springer
ISBN 13 : 3030135470
Total Pages : 232 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Stochastic Geometry by : David Coupier

Download or read book Stochastic Geometry written by David Coupier and published by Springer. This book was released on 2019-04-09 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research. Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures. The first chapter is a historically motivated introduction to Stochastic Geometry which relates four classical problems (the Buffon needle problem, the Bertrand paradox, the Sylvester four-point problem and the bicycle wheel problem) to current topics. The remaining chapters give an application motivated introduction to contemporary Stochastic Geometry, each one devoted to a particular branch of the subject: understanding spatial point patterns through intensity and conditional intensities; stochastic methods for image analysis; random fields and scale invariance; and the theory of Gibbs point processes. Exposing readers to a rich theory, this book will encourage further exploration of the subject and its wide applications.

Numerical Solution of Stochastic Differential Equations with Jumps in Finance

Author : Eckhard Platen
Publisher : Springer Science & Business Media
ISBN 13 : 364213694X
Total Pages : 868 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Numerical Solution of Stochastic Differential Equations with Jumps in Finance by : Eckhard Platen

Download or read book Numerical Solution of Stochastic Differential Equations with Jumps in Finance written by Eckhard Platen and published by Springer Science & Business Media. This book was released on 2010-07-23 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: In financial and actuarial modeling and other areas of application, stochastic differential equations with jumps have been employed to describe the dynamics of various state variables. The numerical solution of such equations is more complex than that of those only driven by Wiener processes, described in Kloeden & Platen: Numerical Solution of Stochastic Differential Equations (1992). The present monograph builds on the above-mentioned work and provides an introduction to stochastic differential equations with jumps, in both theory and application, emphasizing the numerical methods needed to solve such equations. It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability. Furthermore, it includes chapters on exact simulation, estimation and filtering. Besides serving as a basic text on quantitative methods, it offers ready access to a large number of potential research problems in an area that is widely applicable and rapidly expanding. Finance is chosen as the area of application because much of the recent research on stochastic numerical methods has been driven by challenges in quantitative finance. Moreover, the volume introduces readers to the modern benchmark approach that provides a general framework for modeling in finance and insurance beyond the standard risk-neutral approach. It requires undergraduate background in mathematical or quantitative methods, is accessible to a broad readership, including those who are only seeking numerical recipes, and includes exercises that help the reader develop a deeper understanding of the underlying mathematics.

Stochastic Processes, Statistical Methods, and Engineering Mathematics

Author : Anatoliy Malyarenko
Publisher : Springer Nature
ISBN 13 : 3031178203
Total Pages : 907 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Stochastic Processes, Statistical Methods, and Engineering Mathematics by : Anatoliy Malyarenko

Download or read book Stochastic Processes, Statistical Methods, and Engineering Mathematics written by Anatoliy Malyarenko and published by Springer Nature. This book was released on 2023-01-26 with total page 907 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the 2019 conference on Stochastic Processes and Algebraic Structures held in SPAS2019, Västerås, Sweden, from September 30th to October 2nd 2019, was to showcase the frontiers of research in several important areas of mathematics, mathematical statistics, and its applications. The conference was organized around the following topics 1. Stochastic processes and modern statistical methods,2. Engineering mathematics,3. Algebraic structures and their applications. The conference brought together a select group of scientists, researchers, and practitioners from the industry who are actively contributing to the theory and applications of stochastic, and algebraic structures, methods, and models. The conference provided early stage researchers with the opportunity to learn from leaders in the field, to present their research, as well as to establish valuable research contacts in order to initiate collaborations in Sweden and abroad. New methods for pricing sophisticated financial derivatives, limit theorems for stochastic processes, advanced methods for statistical analysis of financial data, and modern computational methods in various areas of applied science can be found in this book. The principal reason for the growing interest in these questions comes from the fact that we are living in an extremely rapidly changing and challenging environment. This requires the quick introduction of new methods, coming from different areas of applied science. Advanced concepts in the book are illustrated in simple form with the help of tables and figures. Most of the papers are self-contained, and thus ideally suitable for self-study. Solutions to sophisticated problems located at the intersection of various theoretical and applied areas of the natural sciences are presented in these proceedings.

An Introduction to Continuous-Time Stochastic Processes

Author : Vincenzo Capasso
Publisher : Springer Science & Business Media
ISBN 13 : 0817683461
Total Pages : 438 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis An Introduction to Continuous-Time Stochastic Processes by : Vincenzo Capasso

Download or read book An Introduction to Continuous-Time Stochastic Processes written by Vincenzo Capasso and published by Springer Science & Business Media. This book was released on 2012-07-27 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expanding on the first edition of An Introduction to Continuous-Time Stochastic Processes, this concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using stochastic methods. No previous knowledge of stochastic processes is required.

Stochastic Processes and Applications

Author : Sergei Silvestrov
Publisher : Springer
ISBN 13 : 3030028259
Total Pages : 482 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Stochastic Processes and Applications by : Sergei Silvestrov

Download or read book Stochastic Processes and Applications written by Sergei Silvestrov and published by Springer. This book was released on 2018-12-05 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest advances in stochastic processes, probability theory, mathematical statistics, engineering mathematics and algebraic structures, focusing on mathematical models, structures, concepts, problems and computational methods and algorithms important in modern technology, engineering and natural sciences applications. It comprises selected, high-quality, refereed contributions from various large research communities in modern stochastic processes, algebraic structures and their interplay and applications. The chapters cover both theory and applications, illustrated by numerous figures, schemes, algorithms, tables and research results to help readers understand the material and develop new mathematical methods, concepts and computing applications in the future. Presenting new methods and results, reviews of cutting-edge research, and open problems and directions for future research, the book serves as a source of inspiration for a broad spectrum of researchers and research students in probability theory and mathematical statistics, applied algebraic structures, applied mathematics and other areas of mathematics and applications of mathematics. The book is based on selected contributions presented at the International Conference on “Stochastic Processes and Algebraic Structures – From Theory Towards Applications” (SPAS2017) to mark Professor Dmitrii Silvestrov’s 70th birthday and his 50 years of fruitful service to mathematics, education and international cooperation, which was held at Mälardalen University in Västerås and Stockholm University, Sweden, in October 2017.

An Introduction to Stochastic Modeling

Author : Howard M. Taylor
Publisher : Academic Press
ISBN 13 : 1483269272
Total Pages : 410 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis An Introduction to Stochastic Modeling by : Howard M. Taylor

Download or read book An Introduction to Stochastic Modeling written by Howard M. Taylor and published by Academic Press. This book was released on 2014-05-10 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.

Applied Statistics

Author : Dieter Rasch
Publisher : John Wiley & Sons
ISBN 13 : 1119551528
Total Pages : 509 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Applied Statistics by : Dieter Rasch

Download or read book Applied Statistics written by Dieter Rasch and published by John Wiley & Sons. This book was released on 2019-10-07 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background—taking the lessons learned from there to another level with this book’s addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. Offers a practical over theoretical approach to the subject of applied statistics Provides a pre-experimental as well as post-experimental approach to applied statistics Features classroom tested material Applicable to a wide range of people working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.