Structured Dependence Between Stochastic Processes

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Structured Dependence between Stochastic Processes

Author : Tomasz R. Bielecki
Publisher : Cambridge University Press
ISBN 13 : 1108895379
Total Pages : 280 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Structured Dependence between Stochastic Processes by : Tomasz R. Bielecki

Download or read book Structured Dependence between Stochastic Processes written by Tomasz R. Bielecki and published by Cambridge University Press. This book was released on 2020-08-27 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena.

Time-Dependent Reliability Theory and Its Applications

Author : Chun-Qing Li
Publisher : Elsevier
ISBN 13 : 0323860168
Total Pages : 626 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Time-Dependent Reliability Theory and Its Applications by : Chun-Qing Li

Download or read book Time-Dependent Reliability Theory and Its Applications written by Chun-Qing Li and published by Elsevier. This book was released on 2022-10-23 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time-Dependent Reliability Theory and Its Applications introduces the theory of time-dependent reliability and presents methods to determine the reliability of structures over the lifespan of their services. The book contains state-of-the-art solutions to first passage probability derived from the theory of stochastic processes with different types of probability distribution functions, including Gaussian and non-Gaussian distributions and stationary and non-stationary processes. In addition, it provides various methods to determine the probability of failure over time, considering different failure modes and a methodology to predict the service life of structures. Sections also cover the applications of time-dependent reliability to prediction of service life and development of risk cost-optimized maintenance strategy for existing structures. This new book is for those who wants to know how to predict the service life of a structure (buildings, bridges, aircraft structures, etc.) and how to develop a risk-cost, optimized maintenance strategy for these structures. - Presents the basic knowledge required to predict service life and develop a maintenance strategy for infrastructure - Explains how to predict the remaining safe life of the infrastructure during its lifespan of operation - Describes how to carry out maintenance for an infrastructure to ensure its safe and serviceable operation during the designed service life

Dependence with Complete Connections and its Applications

Author : Marius Iosifescu
Publisher : Cambridge University Press
ISBN 13 : 9780521101806
Total Pages : 0 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Dependence with Complete Connections and its Applications by : Marius Iosifescu

Download or read book Dependence with Complete Connections and its Applications written by Marius Iosifescu and published by Cambridge University Press. This book was released on 2009-01-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dependence with complete connections is a more general type of stochastic process than the well-known Markovian dependence, accounting for a complete history of a stochastic evolution. This book is an authoritative survey of knowledge of the subject, dealing with the basic theoretical understanding and also with applications. These arise in a variety of situations as diverse as stochastic models of learning, branching processes in random environments, continued fractions and dynamical systems. Thus the book will appeal to mathematicians working in probability theory, ergodic theory and number theory, as well as applied mathematicians, engineers, biologists and social scientists interested in applications of stochastic methods.

Equivalents of the Riemann Hypothesis

Author : Kevin Broughan
Publisher : Cambridge University Press
ISBN 13 : 1009384805
Total Pages : 705 pages
Book Rating : 4.0/5 (93 download)

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Book Synopsis Equivalents of the Riemann Hypothesis by : Kevin Broughan

Download or read book Equivalents of the Riemann Hypothesis written by Kevin Broughan and published by Cambridge University Press. This book was released on 2023-09-30 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third volume presents further equivalents to the Riemann hypothesis and explores its decidability.

Equivalents of the Riemann Hypothesis: Volume 3, Further Steps towards Resolving the Riemann Hypothesis

Author : Kevin Broughan
Publisher : Cambridge University Press
ISBN 13 : 1009384775
Total Pages : 706 pages
Book Rating : 4.0/5 (93 download)

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Book Synopsis Equivalents of the Riemann Hypothesis: Volume 3, Further Steps towards Resolving the Riemann Hypothesis by : Kevin Broughan

Download or read book Equivalents of the Riemann Hypothesis: Volume 3, Further Steps towards Resolving the Riemann Hypothesis written by Kevin Broughan and published by Cambridge University Press. This book was released on 2023-09-30 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume work presents the main known equivalents to the Riemann hypothesis, perhaps the most important problem in mathematics. Volume 3 covers new arithmetic and analytic equivalences from numerous studies in the field, such as Rogers and Tao, and presents derivations which show whether the Riemann hypothesis is decidable.

Stochastic Methods In Hydrology: Rain, Landforms And Floods

Author : Ole E Barndorff-nielsen
Publisher : World Scientific
ISBN 13 : 9814496499
Total Pages : 226 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Stochastic Methods In Hydrology: Rain, Landforms And Floods by : Ole E Barndorff-nielsen

Download or read book Stochastic Methods In Hydrology: Rain, Landforms And Floods written by Ole E Barndorff-nielsen and published by World Scientific. This book was released on 1998-03-31 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book communicates some contemporary mathematical and statistical developments in river basin hydrology as they pertain to space-time rainfall, spatial landform and network structures and their role in understanding averages and fluctuations in the hydrologic water balance of river basins. While many of the mathematical and statistical nations have quite classical mathematical roots, the river basin data structure has led to many variations on the problems and theory.

Advancements in Bayesian Methods and Implementations

Author :
Publisher : Academic Press
ISBN 13 : 0323952690
Total Pages : 322 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Advancements in Bayesian Methods and Implementations by :

Download or read book Advancements in Bayesian Methods and Implementations written by and published by Academic Press. This book was released on 2022-10-06 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advancements in Bayesian Methods and Implementation, Volume 47 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Fisher Information, Cramer-Rao and Bayesian Paradigm, Compound beta binomial distribution functions, MCMC for GLMMS, Signal Processing and Bayesian, Mathematical theory of Bayesian statistics where all models are wrong, Machine Learning and Bayesian, Non-parametric Bayes, Bayesian testing, and Data Analysis with humans, Variational inference or Functional horseshoe, Generalized Bayes. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Handbook of Statistics series - Updated release includes the latest information on Advancements in Bayesian Methods and Implementation

Copulas and Stochastic Processes

Author : Volker Schmitz
Publisher :
ISBN 13 : 9783832212780
Total Pages : 110 pages
Book Rating : 4.2/5 (127 download)

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Book Synopsis Copulas and Stochastic Processes by : Volker Schmitz

Download or read book Copulas and Stochastic Processes written by Volker Schmitz and published by . This book was released on 2003 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:

PROBABILITY AND STATISTICS - Volume II

Author : Reinhard Viertl
Publisher : EOLSS Publications
ISBN 13 : 1848260539
Total Pages : 520 pages
Book Rating : 4.8/5 (482 download)

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Book Synopsis PROBABILITY AND STATISTICS - Volume II by : Reinhard Viertl

Download or read book PROBABILITY AND STATISTICS - Volume II written by Reinhard Viertl and published by EOLSS Publications. This book was released on 2009-06-11 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Statistics theme is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme with contributions from distinguished experts in the field, discusses Probability and Statistics. Probability is a standard mathematical concept to describe stochastic uncertainty. Probability and Statistics can be considered as the two sides of a coin. They consist of methods for modeling uncertainty and measuring real phenomena. Today many important political, health, and economic decisions are based on statistics. This theme is structured in five main topics: Probability and Statistics; Probability Theory; Stochastic Processes and Random Fields; Probabilistic Models and Methods; Foundations of Statistics, which are then expanded into multiple subtopics, each as a chapter. These three volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.

Stochastic Processes and Long Range Dependence

Author : Gennady Samorodnitsky
Publisher : Springer
ISBN 13 : 3319455753
Total Pages : 419 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Stochastic Processes and Long Range Dependence by : Gennady Samorodnitsky

Download or read book Stochastic Processes and Long Range Dependence written by Gennady Samorodnitsky and published by Springer. This book was released on 2016-11-09 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is a gateway for researchers and graduate students to explore the profound, yet subtle, world of long-range dependence (also known as long memory). The text is organized around the probabilistic properties of stationary processes that are important for determining the presence or absence of long memory. The first few chapters serve as an overview of the general theory of stochastic processes which gives the reader sufficient background, language, and models for the subsequent discussion of long memory. The later chapters devoted to long memory begin with an introduction to the subject along with a brief history of its development, followed by a presentation of what is currently the best known approach, applicable to stationary processes with a finite second moment. The book concludes with a chapter devoted to the author’s own, less standard, point of view of long memory as a phase transition, and even includes some novel results. Most of the material in the book has not previously been published in a single self-contained volume, and can be used for a one- or two-semester graduate topics course. It is complete with helpful exercises and an appendix which describes a number of notions and results belonging to the topics used frequently throughout the book, such as topological groups and an overview of the Karamata theorems on regularly varying functions.

Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science

Author : Roderick Melnik
Publisher : Springer
ISBN 13 : 1493969692
Total Pages : 437 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science by : Roderick Melnik

Download or read book Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science written by Roderick Melnik and published by Springer. This book was released on 2017-09-05 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is an excellent resource for professionals in various areas of applications of mathematics, modeling, and computational science. It focuses on recent progress and modern challenges in these areas. The volume provides a balance between fundamental theoretical and applied developments, emphasizing the interdisciplinary nature of modern trends and detailing state-of-the-art achievements in Applied Mathematics, Modeling, and Computational Science. The chapters have been authored by international experts in their respective fields, making this book ideal for researchers in academia, practitioners, and graduate students. It can also serve as a reference in the diverse selected areas of applied mathematics, modelling, and computational sciences, and is ideal for interdisciplinary collaborations.

Probabilistic Methods in Structural Engineering

Author : Guiliano Augusti
Publisher : CRC Press
ISBN 13 : 1482267454
Total Pages : 585 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Probabilistic Methods in Structural Engineering by : Guiliano Augusti

Download or read book Probabilistic Methods in Structural Engineering written by Guiliano Augusti and published by CRC Press. This book was released on 1984-07-19 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most important applications of probablistic and statistical approaches and procedures to structural engineering.

Review of Marketing Research

Author : Naresh Malhotra
Publisher : Routledge
ISBN 13 : 1351550926
Total Pages : 358 pages
Book Rating : 4.3/5 (515 download)

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Book Synopsis Review of Marketing Research by : Naresh Malhotra

Download or read book Review of Marketing Research written by Naresh Malhotra and published by Routledge. This book was released on 2017-10-19 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2017. Routledge is an imprint of Taylor & Francis, an Informa company.

Probability Theory and Statistical Inference

Author : Aris Spanos
Publisher : Cambridge University Press
ISBN 13 : 9780521424080
Total Pages : 848 pages
Book Rating : 4.4/5 (24 download)

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Book Synopsis Probability Theory and Statistical Inference by : Aris Spanos

Download or read book Probability Theory and Statistical Inference written by Aris Spanos and published by Cambridge University Press. This book was released on 1999-09-02 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major new textbook is intended for students taking introductory courses in Probability Theory and Statistical Inference. The primary objective of this book is to establish the framework for the empirical modelling of observational (non-experimental) data. The text is extremely student-friendly, with pathways designed for semester usage, and although aimed primarily at students at second-year undergraduate level and above studying econometrics and economics, Probability Theory and Statistical Inference will also be useful for students in other disciplines which make extensive use of observational data, including Finance, Biology, Sociology and Psychology.

Stochastic Processes and Applications

Author : Grigorios A. Pavliotis
Publisher : Springer
ISBN 13 : 1493913239
Total Pages : 345 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Stochastic Processes and Applications by : Grigorios A. Pavliotis

Download or read book Stochastic Processes and Applications written by Grigorios A. Pavliotis and published by Springer. This book was released on 2014-11-19 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sciences. The main focus is analytical methods, although numerical methods and statistical inference methodologies for studying diffusion processes are also presented. The goal is the development of techniques that are applicable to a wide variety of stochastic models that appear in physics, chemistry and other natural sciences. Applications such as stochastic resonance, Brownian motion in periodic potentials and Brownian motors are studied and the connection between diffusion processes and time-dependent statistical mechanics is elucidated. The book contains a large number of illustrations, examples, and exercises. It will be useful for graduate-level courses on stochastic processes for students in applied mathematics, physics and engineering. Many of the topics covered in this book (reversible diffusions, convergence to equilibrium for diffusion processes, inference methods for stochastic differential equations, derivation of the generalized Langevin equation, exit time problems) cannot be easily found in textbook form and will be useful to both researchers and students interested in the applications of stochastic processes.

Bayesian Theory and Applications

Author : Paul Damien
Publisher : OUP Oxford
ISBN 13 : 0191647004
Total Pages : 717 pages
Book Rating : 4.1/5 (916 download)

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Book Synopsis Bayesian Theory and Applications by : Paul Damien

Download or read book Bayesian Theory and Applications written by Paul Damien and published by OUP Oxford. This book was released on 2013-01-24 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics. This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances in this field. The book has a unique format. There is an explanatory chapter devoted to each conceptual advance followed by journal-style chapters that provide applications or further advances on the concept. Thus, the volume is both a textbook and a compendium of papers covering a vast range of topics. It is appropriate for a well-informed novice interested in understanding the basic approach, methods and recent applications. Because of its advanced chapters and recent work, it is also appropriate for a more mature reader interested in recent applications and developments, and who may be looking for ideas that could spawn new research. Hence, the audience for this unique book would likely include academicians/practitioners, and could likely be required reading for undergraduate and graduate students in statistics, medicine, engineering, scientific computation, business, psychology, bio-informatics, computational physics, graphical models, neural networks, geosciences, and public policy. The book honours the contributions of Sir Adrian F. M. Smith, one of the seminal Bayesian researchers, with his papers on hierarchical models, sequential Monte Carlo, and Markov chain Monte Carlo and his mentoring of numerous graduate students -the chapters are authored by prominent statisticians influenced by him. Bayesian Theory and Applications should serve the dual purpose of a reference book, and a textbook in Bayesian Statistics.

Review of Marketing Research

Author : Naresh K. Malhotra
Publisher : Emerald Group Publishing
ISBN 13 : 0857247263
Total Pages : 223 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Review of Marketing Research by : Naresh K. Malhotra

Download or read book Review of Marketing Research written by Naresh K. Malhotra and published by Emerald Group Publishing. This book was released on 2008-01-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides articles by the marketing field's leading researchers and academicians. This work includes chapters that are not only theoretically rigorous but also offer detail, including literature reviews, advanced methodologies, empirical studies, emerging trends, international developments, and guidelines for implementation.