Probabilistic uncertainty analysis and its applications in option models

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Probabilistic uncertainty analysis and its applications in option models by : Motoi J. Namihira

Download or read book Probabilistic uncertainty analysis and its applications in option models written by Motoi J. Namihira and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Probabilistic Models

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Publisher : Butterworth-Heinemann
ISBN 13 : 0128165464
Total Pages : 590 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Handbook of Probabilistic Models by : Pijush Samui

Download or read book Handbook of Probabilistic Models written by Pijush Samui and published by Butterworth-Heinemann. This book was released on 2019-10-05 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Applied Research in Uncertainty Modeling and Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 0387235507
Total Pages : 547 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Applied Research in Uncertainty Modeling and Analysis by : Bilal M. Ayyub

Download or read book Applied Research in Uncertainty Modeling and Analysis written by Bilal M. Ayyub and published by Springer Science & Business Media. This book was released on 2007-12-29 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . ... pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes.

Uncertainty in Risk Assessment

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Publisher : John Wiley & Sons
ISBN 13 : 1118763068
Total Pages : 152 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Uncertainty in Risk Assessment by : Terje Aven

Download or read book Uncertainty in Risk Assessment written by Terje Aven and published by John Wiley & Sons. This book was released on 2013-12-17 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decision-making situations concerning high-consequence technologies (e.g., nuclear, oil and gas, transport, etc.), the theories and methods studied in Uncertainty in Risk Assessment have wide-ranging applications from engineering and medicine to environmental impacts and natural disasters, security, and financial risk management. The main focus, however, is on engineering applications. While requiring some fundamental background in risk assessment, as well as a basic knowledge of probability theory and statistics, Uncertainty in Risk Assessment can be read profitably by a broad audience of professionals in the field, including researchers and graduate students on courses within risk analysis, statistics, engineering, and the physical sciences. Uncertainty in Risk Assessment: Illustrates the need for seeing beyond probability to represent uncertainties in risk assessment contexts. Provides simple explanations (supported by straightforward numerical examples) of the meaning of different types of probabilities, including interval probabilities, and the fundamentals of possibility theory and evidence theory. Offers guidance on when to use probability and when to use an alternative representation of uncertainty. Presents and discusses methods for the representation and characterization of uncertainty in risk assessment. Uses examples to clearly illustrate ideas and concepts.

Decisions under Uncertainty

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Publisher : Cambridge University Press
ISBN 13 : 1316584038
Total Pages : pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis Decisions under Uncertainty by : Ian Jordaan

Download or read book Decisions under Uncertainty written by Ian Jordaan and published by Cambridge University Press. This book was released on 2005-04-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: To better understand the core concepts of probability and to see how they affect real-world decisions about design and system performance, engineers and scientists might want to ask themselves the following questions: what exactly is meant by probability? What is the precise definition of the 100-year load and how is it calculated? What is an 'extremal' probability distribution? What is the Bayesian approach? How is utility defined? How do games fit into probability theory? What is entropy? How do I apply these ideas in risk analysis? Starting from the most basic assumptions, this 2005 book develops a coherent theory of probability and broadens it into applications in decision theory, design, and risk analysis. This book is written for engineers and scientists interested in probability and risk. It can be used by undergraduates, graduate students, or practicing engineers.

Uncertainty

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Publisher : Springer
ISBN 13 : 3319397567
Total Pages : 258 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Uncertainty by : William Briggs

Download or read book Uncertainty written by William Briggs and published by Springer. This book was released on 2016-07-15 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance." The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.

A Study of Business Decisions Under Uncertainty

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Publisher : Universal-Publishers
ISBN 13 : 1599423499
Total Pages : 408 pages
Book Rating : 4.5/5 (994 download)

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Book Synopsis A Study of Business Decisions Under Uncertainty by : Andreas Stark

Download or read book A Study of Business Decisions Under Uncertainty written by Andreas Stark and published by Universal-Publishers. This book was released on 2010-07 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation will discuss the uncertainty encountered in the daily operations of businesses. The concepts will be developed by first giving an overview of probability and statistics as used in our everyday activities, such as the basic principles of probability, univariate and multivariate statistics, data clustering and mapping, as well as time sequence and spectral analysis. The examples used will be from the oil and gas exploration industry because the risks taken in this industry are normally quite large and are ideal for showing the application of the various techniques for minimizing risk. Subsequently, the discussion will deal with basic risk analysis, spatial and time variations of risk, geotechnical risk analysis, risk aversion and how it is affected by personal biases, and how to use portfolios to hedge risk together with the application of real options. Next, fractal analysis and its application to economics and risk analysis will be examined, followed by some examples showing the change in the Value at Risk under Fractal Brownian Motions. Finally, a neural network application is shown whereby some of these risks and risk factors will be combined to forecast the best possible outcome given a certain knowledge base. The chapters will discuss: Basic probability techniques and uncertainty principles Analysis and diversification for exploration projects The value and risk of information in the decision process Simulation techniques and modeling of uncertainty Project valuation and project risk return Modeling risk propensity or preference analysis of exploration projects Application of fractals to risk analysis Simultaneous prediction of strategic risk and decision attributes using multivariate statistics and neural networks"

Soft Methods in Probability, Statistics and Data Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 3790817732
Total Pages : 372 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Soft Methods in Probability, Statistics and Data Analysis by : Przemyslaw Grzegorzewski

Download or read book Soft Methods in Probability, Statistics and Data Analysis written by Przemyslaw Grzegorzewski and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approaches utilize concepts and techniques developed in theories such as fuzzy sets theory, rough sets, possibility theory, theory of belief functions and imprecise probabilities, etc. Since interesting mathematical models and methods have been proposed in the frameworks of various theories, this text brings together experts representing different approaches used in soft probability, statistics and data analysis.

Applications of Statistics and Probability in Civil Engineering

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Publisher : CRC Press
ISBN 13 : 0203144791
Total Pages : 938 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis Applications of Statistics and Probability in Civil Engineering by : Michael Faber

Download or read book Applications of Statistics and Probability in Civil Engineering written by Michael Faber and published by CRC Press. This book was released on 2011-07-15 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. A

Biomedical Informatics

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Publisher : Springer Nature
ISBN 13 : 3030587215
Total Pages : 1152 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Biomedical Informatics by : Edward H. Shortliffe

Download or read book Biomedical Informatics written by Edward H. Shortliffe and published by Springer Nature. This book was released on 2021-05-31 with total page 1152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 5th edition of this essential textbook continues to meet the growing demand of practitioners, researchers, educators, and students for a comprehensive introduction to key topics in biomedical informatics and the underlying scientific issues that sit at the intersection of biomedical science, patient care, public health and information technology (IT). Emphasizing the conceptual basis of the field rather than technical details, it provides the tools for study required for readers to comprehend, assess, and utilize biomedical informatics and health IT. It focuses on practical examples, a guide to additional literature, chapter summaries and a comprehensive glossary with concise definitions of recurring terms for self-study or classroom use. Biomedical Informatics: Computer Applications in Health Care and Biomedicine reflects the remarkable changes in both computing and health care that continue to occur and the exploding interest in the role that IT must play in care coordination and the melding of genomics with innovations in clinical practice and treatment. New and heavily revised chapters have been introduced on human-computer interaction, mHealth, personal health informatics and precision medicine, while the structure of the other chapters has undergone extensive revisions to reflect the developments in the area. The organization and philosophy remain unchanged, focusing on the science of information and knowledge management, and the role of computers and communications in modern biomedical research, health and health care.

Probabilistic Accident Consequence Uncertainty Analysis: Main report

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Publisher :
ISBN 13 :
Total Pages : 438 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Probabilistic Accident Consequence Uncertainty Analysis: Main report by :

Download or read book Probabilistic Accident Consequence Uncertainty Analysis: Main report written by and published by . This book was released on 1997 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probability Models for Economic Decisions, second edition

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Publisher : MIT Press
ISBN 13 : 0262043122
Total Pages : 569 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Probability Models for Economic Decisions, second edition by : Roger B. Myerson

Download or read book Probability Models for Economic Decisions, second edition written by Roger B. Myerson and published by MIT Press. This book was released on 2019-12-17 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the use of probability models for analyzing risk and economic decisions, using spreadsheets to represent and simulate uncertainty. This textbook offers an introduction to the use of probability models for analyzing risks and economic decisions. It takes a learn-by-doing approach, teaching the student to use spreadsheets to represent and simulate uncertainty and to analyze the effect of such uncertainty on an economic decision. Students in applied business and economics can more easily grasp difficult analytical methods with Excel spreadsheets. The book covers the basic ideas of probability, how to simulate random variables, and how to compute conditional probabilities via Monte Carlo simulation. The first four chapters use a large collection of probability distributions to simulate a range of problems involving worker efficiency, market entry, oil exploration, repeated investment, and subjective belief elicitation. The book then covers correlation and multivariate normal random variables; conditional expectation; optimization of decision variables, with discussions of the strategic value of information, decision trees, game theory, and adverse selection; risk sharing and finance; dynamic models of growth; dynamic models of arrivals; and model risk. New material in this second edition includes two new chapters on additional dynamic models and model risk; new sections in every chapter; many new end-of-chapter exercises; and coverage of such topics as simulation model workflow, models of probabilistic electoral forecasting, and real options. The book comes equipped with Simtools, an open-source, free software used througout the book, which allows students to conduct Monte Carlo simulations seamlessly in Excel.

Modeling Uncertainty

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Publisher : Springer
ISBN 13 : 0306481022
Total Pages : 770 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Modeling Uncertainty by : Moshe Dror

Download or read book Modeling Uncertainty written by Moshe Dror and published by Springer. This book was released on 2019-11-05 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.

Whys and Hows in Uncertainty Modelling

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Publisher : Springer
ISBN 13 : 3709125014
Total Pages : 391 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Whys and Hows in Uncertainty Modelling by : Isaac Elishakoff

Download or read book Whys and Hows in Uncertainty Modelling written by Isaac Elishakoff and published by Springer. This book was released on 2014-05-04 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents, as a single package, three semingly contradictory and often competitive approaches to deal with ever present uncertainty in science and engineering. The book describes, as a unique view, probabilistic, fuzzy sets based and antioptimization based approaches, in order to remedy the present "tower ob Babel” situation, in which researchers in competing fields do not communicate. Integrative approach will attract scientists and engineers alike and provide a strong impetus towards integrative, hybrid approaches.

Probability Methods for Cost Uncertainty Analysis

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Publisher : CRC Press
ISBN 13 : 148221976X
Total Pages : 526 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Probability Methods for Cost Uncertainty Analysis by : Paul R. Garvey

Download or read book Probability Methods for Cost Uncertainty Analysis written by Paul R. Garvey and published by CRC Press. This book was released on 2016-01-06 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to

Pharmacogenetics: Making cancer treatment safer and more effective

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Publisher : Springer Science & Business Media
ISBN 13 : 9048186188
Total Pages : 190 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Pharmacogenetics: Making cancer treatment safer and more effective by : William G. Newman

Download or read book Pharmacogenetics: Making cancer treatment safer and more effective written by William G. Newman and published by Springer Science & Business Media. This book was released on 2010-07-20 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemotherapy has made a dramatic difference to improved survival in patients with cancer. However, not all patients respond and some experience serious side effects. "Pharmacogenetics: Making cancer treatment safer and more effective" is an up to date summary of the exciting new field of how genetic testing can tailor more effective prescription in oncology. It is targeted at oncologists and professionals involved in the treatment of patients with cancer. It provides a core background in genetics and pharmacological principles before providing chapters from acknowledged experts in the field on genetic tests in specific cancer types, including breast, bowel and lung cancer. Clinical cases are used to illustrate the practical application of this knowledge. Chapters on ethics, health economics and the industry aspects of pharmacogenetics set out the challenges and opportunities afforded by this new science.

Probability Methods for Cost Uncertainty Analysis

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Publisher : CRC Press
ISBN 13 : 9780824789664
Total Pages : 432 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis Probability Methods for Cost Uncertainty Analysis by : Paul R. Garvey

Download or read book Probability Methods for Cost Uncertainty Analysis written by Paul R. Garvey and published by CRC Press. This book was released on 2000-01-03 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: A careful blend of theory and practice, this book presents a comprehensive approach to assessing the impact of unplanned events on the cost of engineering complex systems. It illustrates how probability theory is applied to model, measure, and manage risk in the cost of a systems engineering project. The book contains numerous mathematical and professional anecdotes, case studies, results, observations, and interpretations that clarify the challenges in cost risk analysis. It includes references, equations, and illustrations, provides theoretical and applied exercises, and uses examples and case discussions derived from systems engineering projects to describe key concepts.