Handbook Of Probabilistic Models

Author : Pijush Samui,Dieu Tien Bui,Subrata Chakraborty,Ravinesh C. Deo
Publisher : Butterworth-Heinemann
Page : 590 pages
File Size : 40,5 Mb
Release : 2019-10-05
Category : Computers
ISBN : 9780128165461

Get Book

Handbook of Probabilistic Models by Pijush Samui,Dieu Tien Bui,Subrata Chakraborty,Ravinesh C. Deo Pdf

Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems

Author : Marloes Maathuis,Mathias Drton,Steffen Lauritzen,Martin Wainwright
Publisher : CRC Press
Page : 666 pages
File Size : 41,6 Mb
Release : 2018-11-12
Category : Mathematics
ISBN : 9780429874239

Get Book

Handbook of Graphical Models by Marloes Maathuis,Mathias Drton,Steffen Lauritzen,Martin Wainwright Pdf

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number of excellent books on graphical models, the field has grown so much that individual authors can hardly cover its entire scope. Moreover, the field is interdisciplinary by nature. Through chapters by leading researchers from different areas, this handbook provides a broad and accessible overview of the state of the art. Key features: * Contributions by leading researchers from a range of disciplines * Structured in five parts, covering foundations, computational aspects, statistical inference, causal inference, and applications * Balanced coverage of concepts, theory, methods, examples, and applications * Chapters can be read mostly independently, while cross-references highlight connections The handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models.

Author : Tamás Rudas
Publisher : SAGE Publications
Page : 488 pages
File Size : 51,8 Mb
Release : 2008-02-21
Category : Social Science
ISBN : 9781483303659

Get Book

Handbook of Probability by Tamás Rudas Pdf

"This is a valuable reference guide for readers interested in gaining a basic understanding of probability theory or its applications in problem solving in the other disciplines." —CHOICE Providing cutting-edge perspectives and real-world insights into the greater utility of probability and its applications, the Handbook of Probability offers an equal balance of theory and direct applications in a non-technical, yet comprehensive, format. Editor Tamás Rudas and the internationally-known contributors present the material in a manner so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding. The wide-ranging applications of probability presented make it useful for scholars who need to make interdisciplinary connections in their work. Key Features Contains contributions from the international who's-who of probability across several disciplines Offers an equal balance of theory and applications Explains the most important concepts of probability theory in a non-technical yet comprehensive way Provides in-depth examples of recent applications in the social and behavioral sciences as well as education, business, and law Intended Audience This Handbook makes an ideal library purchase. In addition, this volume should also be of interest to individual scholars in the social and behavioral sciences.

Author : Alison C. Cullen,H. Christopher Frey,Christopher H. Frey
Publisher : Springer Science & Business
Page : 294 pages
File Size : 45,9 Mb
Release : 1999-07-31
Category : Medical
ISBN : 0306459574

Get Book

Probabilistic Techniques in Exposure Assessment by Alison C. Cullen,H. Christopher Frey,Christopher H. Frey Pdf

In this text, experts provide a complete sourcebook on methods for addressing variability and uncertainty in exposure analysis.

Author : Ionut Florescu,Ciprian A. Tudor
Publisher : John Wiley & Sons
Page : 347 pages
File Size : 50,8 Mb
Release : 2013-10-28
Category : Mathematics
ISBN : 9781118593097

Get Book

Handbook of Probability by Ionut Florescu,Ciprian A. Tudor Pdf

THE COMPLETE COLLECTION NECESSARY FOR A CONCRETE UNDERSTANDING OF PROBABILITY Written in a clear, accessible, and comprehensive manner, the Handbook of Probability presents the fundamentals of probability with an emphasis on the balance of theory, application, and methodology. Utilizing basic examples throughout, the handbook expertly transitions between concepts and practice to allow readers an inclusive introduction to the field of probability. The book provides a useful format with self-contained chapters, allowing the reader easy and quick reference. Each chapter includes an introduction, historical background, theory and applications, algorithms, and exercises. The Handbook of Probability offers coverage of: Probability Space Probability Measure Random Variables Random Vectors in Rn Characteristic Function Moment Generating Function Gaussian Random Vectors Convergence Types Limit Theorems The Handbook of Probability is an ideal resource for researchers and practitioners in numerous fields, such as mathematics, statistics, operations research, engineering, medicine, and finance, as well as a useful text for graduate students.

Author : N. Balakrishnan,Markos V. Koutras,Konstadinos G. Politis
Publisher : John Wiley & Sons
Page : 624 pages
File Size : 55,7 Mb
Release : 2019-04-01
Category : Mathematics
ISBN : 9781118548714

Get Book

Introduction to Probability. by N. Balakrishnan,Markos V. Koutras,Konstadinos G. Politis Pdf

An essential guide to the concepts of probability theory that puts the focus on models and applications Introduction to Probability offers an authoritative text that presents the main ideas and concepts, as well as the theoretical background, models, and applications of probability. The authors—noted experts in the field—include a review of problems where probabilistic models naturally arise, and discuss the methodology to tackle these problems. A wide-range of topics are covered that include the concepts of probability and conditional probability, univariate discrete distributions, univariate continuous distributions, along with a detailed presentation of the most important probability distributions used in practice, with their main properties and applications. Designed as a useful guide, the text contains theory of probability, de finitions, charts, examples with solutions, illustrations, self-assessment exercises, computational exercises, problems and a glossary. This important text: • Includes classroom-tested problems and solutions to probability exercises • Highlights real-world exercises designed to make clear the concepts presented • Uses Mathematica software to illustrate the text’s computer exercises • Features applications representing worldwide situations and processes • Offers two types of self-assessment exercises at the end of each chapter, so that students may review the material in that chapter and monitor their progress. Written for students majoring in statistics, engineering, operations research, computer science, physics, and mathematics, Introduction to Probability: Models and Applications is an accessible text that explores the basic concepts of probability and includes detailed information on models and applications.

Author : Marloes Maathuis,Mathias Drton,Steffen Lauritzen,Martin Wainwright
Publisher : CRC Press
Page : 536 pages
File Size : 43,9 Mb
Release : 2018-11-12
Category : Mathematics
ISBN : 9780429874246

Get Book

Handbook of Graphical Models by Marloes Maathuis,Mathias Drton,Steffen Lauritzen,Martin Wainwright Pdf

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number of excellent books on graphical models, the field has grown so much that individual authors can hardly cover its entire scope. Moreover, the field is interdisciplinary by nature. Through chapters by leading researchers from different areas, this handbook provides a broad and accessible overview of the state of the art. Key features: * Contributions by leading researchers from a range of disciplines * Structured in five parts, covering foundations, computational aspects, statistical inference, causal inference, and applications * Balanced coverage of concepts, theory, methods, examples, and applications * Chapters can be read mostly independently, while cross-references highlight connections The handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models.

Author : Pierre Bremaud
Publisher : Springer Science & Business Media
Page : 222 pages
File Size : 51,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461210467

Get Book

An Introduction to Probabilistic Modeling by Pierre Bremaud Pdf

Introduction to the basic concepts of probability theory: independence, expectation, convergence in law and almost-sure convergence. Short expositions of more advanced topics such as Markov Chains, Stochastic Processes, Bayesian Decision Theory and Information Theory.

Author : Pierre Brémaud
Publisher : Unknown
Page : 207 pages
File Size : 41,7 Mb
Release : 1997
Category : Probabilities
ISBN : OCLC:1193941770

Get Book

An Introduction to Probabilistic Modeling by Pierre Brémaud Pdf

Author : Dariusz Jacek Jakóbczak
Publisher : Engineering Science Reference
Page : 128 pages
File Size : 47,6 Mb
Release : 2020-08
Category : Electronic
ISBN : 1799854930

Get Book

Analyzing Data Through Probabilistic Modeling in Statistics by Dariusz Jacek Jakóbczak Pdf

Author : Edoardo M. Airoldi,David Blei,Elena A. Erosheva,Stephen E. Fienberg
Publisher : CRC Press
Page : 608 pages
File Size : 51,5 Mb
Release : 2014-11-06
Category : Computers
ISBN : 9781466504097

Get Book

Handbook of Mixed Membership Models and Their Applications by Edoardo M. Airoldi,David Blei,Elena A. Erosheva,Stephen E. Fienberg Pdf

In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to uncover hidden patterns in modern high-dim

Author : Richard A. Davis,Scott H. Holan,Robert Lund,Nalini Ravishanker
Publisher : CRC Press
Page : 464 pages
File Size : 54,8 Mb
Release : 2020-06-30
Category : Electronic
ISBN : 0367570394

Get Book

Handbook of Discrete-Valued Time Series by Richard A. Davis,Scott H. Holan,Robert Lund,Nalini Ravishanker Pdf

This handbook presents state-of-the-art methods for modeling time series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. The book examines the advantages and limitations of the various modeling techniques and keeps probabilistic, technical details to a minimum. While

Author : Igor A. Ushakov
Publisher : John Wiley & Sons
Page : 166 pages
File Size : 51,9 Mb
Release : 2012-08-07
Category : Business & Economics
ISBN : 9781118370766

Get Book

Probabilistic Reliability Models by Igor A. Ushakov Pdf

Practical Approaches to Reliability Theory in Cutting-Edge Applications Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation to solve engineering problems. The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineeringrelated applications at the center of model building. The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems. Following an introduction to the topic, subsequent chapters explore key systems and models including: • Unrecoverable objects and recoverable systems • Methods of direct enumeration • Markov models and heuristic models • Performance effectiveness • Time redundancy • System survivability • Aging units and their related systems • Multistate systems Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material. Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels. The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.

Author : Sheldon M Ross
Publisher : Academic Press
Page : 170 pages
File Size : 54,7 Mb
Release : 2010-01-01
Category : Mathematics
ISBN : 0123814367

Get Book

Introduction to Probability Models, Student Solutions Manual (e-only) by Sheldon M Ross Pdf

Introduction to Probability Models, Student Solutions Manual (e-only)

Author : Edmund M. Clarke,Thomas A. Henzinger,Helmut Veith
Publisher : Springer
Page : 0 pages
File Size : 45,9 Mb
Release : 2016-09-10
Category : Computers
ISBN : 3319105744

Get Book

Handbook of Model Checking by Edmund M. Clarke,Thomas A. Henzinger,Helmut Veith Pdf

This book first explores the origins of this idea, grounded in theoretical work on temporal logic and automata. The editors and authors are among the world's leading researchers in this domain, and they contributed 32 chapters representing a thorough view of the development and application of the technique. Topics covered include binary decision diagrams, symbolic model checking, satisfiability modulo theories, partial-order reduction, abstraction, interpolation, concurrency, security protocols, games, probabilistic model checking, and process algebra, and chapters on the transfer of theory to industrial practice, property specification languages for hardware, and verification of real-time systems and hybrid systems. The book will be valuable for researchers and graduate students engaged with the development of formal methods and verification tools.