Electronic Correlation Mapping

This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions, as well as discussing the related concepts of correlation matrices, partial correlation, canonical correlation, rank correlations, with the corresponding robust and non-robust estimation procedures. Every chapter contains a set of examples with simulated and real-life data. Key features: Makes modern and robust correlation methods readily available and understandable to practitioners, specialists, and consultants working in various fields. Focuses on implementation of methodology and application of robust correlation with R. Introduces the main approaches in robust statistics, such as Huber’s minimax approach and Hampel’s approach based on influence functions. Explores various robust estimates of the correlation coefficient including the minimax variance and bias estimates as well as the most B- and V-robust estimates. Contains applications of robust correlation methods to exploratory data analysis, multivariate statistics, statistics of time series, and to real-life data. Includes an accompanying website featuring computer code and datasets Features exercises and examples throughout the text using both small and large data sets. Theoretical and applied statisticians, specialists in multivariate statistics, robust statistics, robust time series analysis, data analysis and signal processing will benefit from this book. Practitioners who use correlation based methods in their work as well as postgraduate students in statistics will also find this book useful.

Catheter ablation has become a mainstay in the therapy of cardiac arrhythmias. The development of electroanatomical mapping technologies (such as CARTO) has facilitated more complex ablation procedures. This brand new book encompasses cardiac arrhythmias and practical tips for users of electroanatomical mapping, providing a color atlas of different arrhythmias, presented as cases, that have been carefully mapped and correlated with clinical and electrogram data. Including maps from all the major mapping systems such as CARTO, NAVX, ESI, RPM as well as activation maps and voltage maps, this book is an ideal reference book and learning tool for electrophysiologists, electrophysiology fellows and electrophysiology laboratory staff.

This book is intended for applications of online digital mapping, called mashups (or composite application), and to analyze the mapping practices in online socio-technical controversies. The hypothesis put forward is that the ability to create an online map accompanies the formation of online audience and provides support for a position in a debate on the Web. The first part provides a study of the map: – a combination of map and statistical reason – crosses between map theories and CIS theories – recent developments in scanning the map, from Geographic Information Systems (GIS) to Web map. The second part is based on a corpus of twenty «mashup» maps, and offers a techno-semiotic analysis highlighting the «thickness of the mediation» they are in a process of communication on the Web. Map as a device to «make do» is thus replaced through these stages of creation, ranging from digital data in their viewing, before describing the construction of the map as a tool for visual evidence in public debates, and ending with an analysis of the delegation action against Internet users. The third section provides an analysis of these mapping practices in the case study of the controversy over nuclear radiation following the accident at the Fukushima plant on March 11, 2011. Techno-semiotic method applied to this corpus of radiation map is supplemented by an analysis of web graphs, derived from «digital methods» and graph theory, accompanying the analysis of the previous steps maps (creating Geiger data or retrieving files online), but also their movement, once maps are made.

In Volatility and Correlation 2nd edition: The Perfect Hedger and the Fox, Rebonato looks at derivatives pricing from the angle of volatility and correlation. With both practical and theoretical applications, this is a thorough update of the highly successful Volatility & Correlation – with over 80% new or fully reworked material and is a must have both for practitioners and for students. The new and updated material includes a critical examination of the ‘perfect-replication’ approach to derivatives pricing, with special attention given to exotic options; a thorough analysis of the role of quadratic variation in derivatives pricing and hedging; a discussion of the informational efficiency of markets in commonly-used calibration and hedging practices. Treatment of new models including Variance Gamma, displaced diffusion, stochastic volatility for interest-rate smiles and equity/FX options. The book is split into four parts. Part I deals with a Black world without smiles, sets out the author’s ‘philosophical’ approach and covers deterministic volatility. Part II looks at smiles in equity and FX worlds. It begins with a review of relevant empirical information about smiles, and provides coverage of local-stochastic-volatility, general-stochastic-volatility, jump-diffusion and Variance-Gamma processes. Part II concludes with an important chapter that discusses if and to what extent one can dispense with an explicit specification of a model, and can directly prescribe the dynamics of the smile surface. Part III focusses on interest rates when the volatility is deterministic. Part IV extends this setting in order to account for smiles in a financially motivated and computationally tractable manner. In this final part the author deals with CEV processes, with diffusive stochastic volatility and with Markov-chain processes. Praise for the First Edition: “In this book, Dr Rebonato brings his penetrating eye to bear on option pricing and hedging.… The book is a must-read for those who already know the basics of options and are looking for an edge in applying the more sophisticated approaches that have recently been developed.” —Professor Ian Cooper, London Business School “Volatility and correlation are at the very core of all option pricing and hedging. In this book, Riccardo Rebonato presents the subject in his characteristically elegant and simple fashion…A rare combination of intellectual insight and practical common sense.” —Anthony Neuberger, London Business School

Gamut mapping algorithms, implemented by color management systems, are an integral part of the color reproduction process. By adjusting the colors with appropriate algorithms, gamut mapping enables original colors to ‘fit’ inside differently shaped color gamuts and authentically transfers images across a range of media. This book illustrates the range of possible gamut mapping strategies for cross-media color reproduction, evaluates the performance of various options and advises on designing new, improved solutions. Starting with overviews of color science, reproduction and management, the text includes: a detailed survey of 90+ gamut mapping algorithms covering color-by-color reduction and expansion, spatial reduction, spectral reduction and gamut mapping for niche applications; a step-by-step example of a color’s journey from original to reproduction, via a digital workflow; a detailed analysis of color gamut computation, including a comparison of alternative techniques and an illustration of the gamuts of salient color sets and media; a presentation of both measurement-based and psychovisual evaluation of individual color reproductions; an overview of alternative approaches to gamut mapping proposed by the ISO and the CIE including an analysis of the building blocks of gamut mapping algorithms and the factors affecting their performance. Color Gamut Mapping is a comprehensive resource for practicing color and imaging engineers, scientists and researchers working in the development of imaging devices, software and solutions. It is also a valuable reference for students of color and imaging science, as well as photographers, graphic designers and artists.

Crime Mapping Case Studies: From Research to Practice provides a series of key examples from practice and research that demonstrate applications of crime mapping and its effect in many areas of policing and crime reduction. This book brings together case studies that show how crime mapping can be used for analysis, intelligence development, monitoring performance, and crime detection and is written by practitioners for practitioners. Leading researchers in the field describe how crime mapping is developing and exposing analytical methodologies and critiquing current practices. Including global case studies that demonstrate a particular application, analytical technique or new theoretical concept, this text offers a truly global overview of this rapidly growing area of interest. Unlike other texts on this topic, this book identifies mistakes and challenges in this field of enquiry to aid the reader in understanding the basics of this technique, giving them the opportunity to learn further.

Maps and mapping are fundamentally political. Whether they are authoritarian, hegemonic, participatory or critical, they are most often guided by the desire to have control over space, and always involve power relations. This book takes stock of the knowledge acquired and the debates conducted in the field of critical cartography over some thirty years.

The Politics of Mapping includes analyses of recent semiological, social and technological innovations in the production and use of maps and, more generally, geographical information. The chapters are the work of specialists in the field, in the form of a thematic analysis, a theoretical essay, or a reflection on a professional, scientific or militant practice. From mapping issues for modern states to the digital and big data era, from maps produced by Indigenous peoples or migrant–advocacy organizations in Europe, the perspectives are both historical and contemporary.

This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.

Detailed mapping and analysis of the structural features of rocks enable the 3D geometry of their structures to be reconstructed. The resulting evidence of the stresses and movement patterns which rocks have undergone indicates the processes by which they were formed, and allows evaluation of past deformations of the earth’s crust. Written to show how one actually describes, measures and records rock structures such as folds and faults with the emphasis on accuracy, detail and on-going interpretation throughout, this handbook gives students and enthusiasts the practical information and guidance which allows their fieldwork to become vastly more rewarding. «…the author is to be congratulated on producing such an excellent text. The whole range of mapping techniques that an undergraduate student will require are described and the book will still be immense help to post-graduates setting out on their research work. The book represents extremely good value and is thoroughly recommended.» —C.R.L. Friend, Mineralogical Magazine

Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages – such as WinBUGS and MLwiN – are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping. Adopts a practical approach, with many detailed worked examples. Includes introductory material on WinBUGS and MLwiN. Discusses three applications in detail – relative risk estimation, focused clustering, and ecological analysis. Suitable for public health workers and epidemiologists with a sound statistical knowledge. Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.