Search results: Found 7

Listing 1 - 7 of 7
Sort by
Bayesian Methods in the Search for MH370

Authors: --- --- --- --- et al.
Book Series: SpringerBriefs in Electrical and Computer Engineering ISSN: 2191-8112 ISBN: 9789811003783 9789811003790 Year: Pages: 114 DOI: 10.1007/978-981-10-0379-0 Language: English
Publisher: Springer Nature
Subject: Statistics
Added to DOAB on : 2017-02-03 18:08:34
License:

Loading...
Export citation

Choose an application

Abstract

This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean.The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.

The Challenge of Chance: A Multidisciplinary Approach from Science and the Humanities

Authors: ---
Book Series: The Frontiers Collection ISSN: 1612-3018 ISBN: 9783319262987 9783319263007 Year: Pages: 276 DOI: 10.1007/978-3-319-26300-7 Language: English
Publisher: Springer Nature
Subject: Statistics
Added to DOAB on : 2017-01-24 17:28:09
License:

Loading...
Export citation

Choose an application

Abstract

This book presents a multidisciplinary perspective on chance, with contributions from distinguished researchers in the areas of biology, cognitive neuroscience, economics, genetics, general history, law, linguistics, logic, mathematical physics, statistics, theology and philosophy. The individual chapters are bound together by a general introduction followed by an opening chapter that surveys 2500 years of linguistic, philosophical, and scientific reflections on chance, coincidence, fortune, randomness, luck and related concepts.A main conclusion that can be drawn is that, even after all this time, we still cannot be sure whether chance is a truly fundamental and irreducible phenomenon, in that certain events are simply uncaused and could have been otherwise, or whether it is always simply a reflection of our ignorance. Other challenges that emerge from this book include a better understanding of the contextuality and perspectival character of chance (including its scale-dependence), and the curious fact that, throughout history (including contemporary science), chance has been used both as an explanation and as a hallmark of the absence of explanation. As such, this book challenges the reader to think about chance in a new way and to come to grips with this endlessly fascinating phenomenon.

An Invitation to Statistics in Wasserstein Space

Authors: ---
Book Series: SpringerBriefs in Probability and Mathematical Statistics ISBN: 9783030384388 Year: Pages: 147 DOI: 10.1007/978-3-030-38438-8 Language: English
Publisher: Springer Nature
Subject: Mathematics
Added to DOAB on : 2020-05-14 09:30:34
License:

Loading...
Export citation

Choose an application

Abstract

This open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures when endowed with the geometry of optimal transportation. Further to reviewing state-of-the-art aspects, it also provides an accessible introduction to the fundamentals of this current topic, as well as an overview that will serve as an invitation and catalyst for further research. Statistics in Wasserstein spaces represents an emerging topic in mathematical statistics, situated at the interface between functional data analysis (where the data are functions, thus lying in infinite dimensional Hilbert space) and non-Euclidean statistics (where the data satisfy nonlinear constraints, thus lying on non-Euclidean manifolds). The Wasserstein space provides the natural mathematical formalism to describe data collections that are best modeled as random measures on Euclidean space (e.g. images and point processes). Such random measures carry the infinite dimensional traits of functional data, but are intrinsically nonlinear due to positivity and integrability restrictions. Indeed, their dominating statistical variation arises through random deformations of an underlying template, a theme that is pursued in depth in this monograph. ; Gives a succinct introduction to necessary mathematical background, focusing on the results useful for statistics from an otherwise vast mathematical literature. Presents an up to date overview of the state of the art, including some original results, and discusses open problems. Suitable for self-study or to be used as a graduate level course text. Open access.

Innovations in Derivatives Markets: Fixed Income Modeling, Valuation Adjustments, Risk Management, and Regulation

Authors: --- --- ---
Book Series: Springer Proceedings in Mathematics & Statistics ISSN: 2194-1009 ISBN: 9783319334455 9783319334462 Year: Volume: 165 Pages: 449 DOI: 10.1007/978-3-319-33446-2 Language: English
Publisher: Springer Nature
Subject: Mechanical Engineering --- Therapeutics --- Biotechnology --- Business and Management --- Chemical Technology
Added to DOAB on : 2017-03-08 12:08:06
License:

Loading...
Export citation

Choose an application

Abstract

This book presents 20 peer-reviewed chapters on current aspects of derivatives markets and derivative pricing. The contributions, written by leading researchers in the field as well as experienced authors from the financial industry, present the state of the art in:• Modeling counterparty credit risk: credit valuation adjustment, debit valuation adjustment, funding valuation adjustment, and wrong way risk.• Pricing and hedging in fixed-income markets and multi-curve interest-rate modeling.• Recent developments concerning contingent convertible bonds, the measuring of basis spreads, and the modeling of implied correlations.The recent financial crisis has cast tremendous doubts on the classical view on derivative pricing. Now, counterparty credit risk and liquidity issues are integral aspects of a prudent valuation procedure and the reference interest rates are represented by a multitude of curves according to their different periods and maturities.A panel discussion included in the book (featuring Damiano Brigo, Christian Fries, John Hull, and Daniel Sommer) on the foundations of modeling and pricing in the presence of counterparty credit risk provides intriguing insights on the debate.

Computer and Information Sciences: 31st International Symposium, ISCIS 2016, Kraków, Poland, October 27–28, 2016, Proceedings

Authors: --- --- ---
Book Series: Communications in Computer and Information Science ISSN: 1865-0929 ISBN: 9783319472164 9783319472171 Year: Volume: 659 Pages: 278 DOI: 10.1007/978-3-319-47217-1 Language: English
Publisher: Springer Nature
Subject: Business and Management --- Transportation --- Manufactures --- Biotechnology --- Therapeutics --- Electrical and Nuclear Engineering
Added to DOAB on : 2017-03-08 12:46:55
License:

Loading...
Export citation

Choose an application

Abstract

This book constitutes the refereed proceedings of the 31st International Symposium on Computer and Information Sciences, ISCIS 2016, held in Krakow, Poland, in October 2016.The 29 revised full papers presented were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on smart algorithms; data classification and processing; stochastic modelling; performance evaluation; queuing systems; wireless networks and security; image processing and computer vision.

Multilevel Modelling for Public Health and Health Services Research

Authors: ---
ISBN: 9783030348014 Year: Pages: 286 DOI: 10.1007/978-3-030-34801-4 Language: English
Publisher: Springer Nature
Subject: Public Health --- Medicine (General) --- Sociology --- Internal medicine --- Mathematics
Added to DOAB on : 2020-06-16 23:58:40
License:

Loading...
Export citation

Choose an application

Abstract

This open access book is a practical introduction to multilevel modelling or multilevel analysis (MLA) – a statistical technique being increasingly used in public health and health services research. The authors begin with a compelling argument for the importance of researchers in these fields having an understanding of MLA to be able to judge not only the growing body of research that uses it, but also to recognise the limitations of research that did not use it. The volume also guides the analysis of real-life data sets by introducing and discussing the use of the multilevel modelling software MLwiN, the statistical package that is used with the example data sets. Importantly, the book also makes the training material accessible for download – not only the datasets analysed within the book, but also a freeware version of MLwiN to allow readers to work with these datasets. The book’s practical review of MLA comprises: Theoretical, conceptual, and methodological background Statistical background The modelling process and presentation of research Tutorials with example datasets Multilevel Modelling for Public Health and Health Services Research: Health in Context is a practical and timely resource for public health and health services researchers, statisticians interested in the relationships between contexts and behaviour, graduate students across these disciplines, and anyone interested in utilising multilevel modelling or multilevel analysis. “Leyland and Groenewegen’s wealth of teaching experience makes this book and its accompanying tutorials especially useful for a practical introduction to multilevel analysis.” ̶ Juan Merlo, Professor of Social Epidemiology, Lund University “Comprehensive and insightful. A must for anyone interested in the applications of multilevel modelling to population health”. ̶ S. (Subu) V. Subramanian, Professor of Population Health and Geography, Harvard University ; For researchers and students with a basic mastery of ordinary least squares and logistic regression Discusses multilevel analysis in context of public health, health services research, and epidemiology Includes an online component where users can download the datasets analyzed in the book, and also a freeware version of the multilevel modelling software MLwiN ​​​​​​​Can be used as part of a course on multilevel modelling, or as a self-training text

On the path to AI

Authors: ---
ISBN: 9783030435820 Year: Pages: 147 DOI: 10.1007/978-3-030-43582-0 Language: English
Publisher: Springer Nature
Subject: Sociology --- Geography --- Law --- Computer Science
Added to DOAB on : 2020-06-17 00:00:13
License:

Loading...
Export citation

Choose an application

Abstract

This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.

Listing 1 - 7 of 7
Sort by
Narrow your search

Publisher

Springer Nature (7)


License

CC by (5)

CC by-nc (2)


Language

english (7)


Year
From To Submit

2020 (3)

2016 (4)