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Handbook of Time Series Analysis
This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields. It covers recent developments in univariate as well as bivariate and multivariate time series analysis techniques ranging from physics' to life sciences' applications. Each chapter comprises both methodological aspects and applications to real world complex systems, such as the human brain or Earth's climate. Covering an exceptionally broad spectrum of topics, beginners, experts and practitioners who seek to understand the latest developments will profit from this handbook.
Die Künstlerfamilie Winterhalter
Vor 125 Jahren starb in Frankfurt a. M. im Alter von achtundsechzig Jahren der berühmte Portätmaler Franz XaverWinterhalter, der als Sohn armer Eltern am 20. April 1805 in der abgelegenen Schwarzwaldgemeinde Menzen schwand-Hinterdorf geboren wurde. Die Frankfurter Nachrichten informierten damals ihre Leser über den Tod des Künstlers: "Am 8. Juli [l873] abends 6 Uhr, verschied dahier, 68 Jahre alt, der berühmte Maler Franz Xaver Winterhalter am ungewöhnlich rasch verlaufenden Typhus. Die deutsche Kunst verliert an ihm einen ihrer hervorragendsten Meister. Insbesondere reihen sich seine genial aufgefaßten und mit vollkommendster Technik ausgeführten Porträts den bedeutendsten Leistung...
Exploratory Causal Analysis with Time Series Data
Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments. Data analysis techniques are required for identifying causal information and relationships directly from such observational data. This need has led to the development of many different time series causality approaches and tools including transfer entropy, convergent cross-mapping (CCM), and Granger causality statistics. A practicing analyst can explore the literature to find many proposals for identifying drivers and causal connections in time series data sets. Exploratory causal analysis (ECA) provides a framework for exploring potential causal str...
Data Mining Applications in Engineering and Medicine
Data Mining Applications in Engineering and Medicine targets to help data miners who wish to apply different data mining techniques. Data mining generally covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc. In this book, most of the areas are covered by describing different applications. This is why you will find here why and how Data Mining can also be applied to the improvement of project management. Since Data Mining has been widely used in a medical field, this book contains different chapters reffering to some aspects and importance of its use in the mentioned field: Incorporating Domain Knowledge into Medical Image Mining, Data Mining Techniques in Pharmacovigilance, Electronic Documentation of Clinical Pharmacy Interventions in Hospitals etc. We hope that this book will inspire readers to pursue education and research in this emerging field.
World Congress of Medical Physics and Biomedical Engineering 2006
These proceedings of the World Congress 2006, the fourteenth conference in this series, offer a strong scientific program covering a wide range of issues and challenges which are currently present in Medical physics and Biomedical Engineering. About 2,500 peer reviewed contributions are presented in a six volume book, comprising 25 tracks, joint conferences and symposia, and including invited contributions from well known researchers in this field.
VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016
This volume presents the proceedings of the CLAIB 2016, held in Bucaramanga, Santander, Colombia, 26, 27 & 28 October 2016. The proceedings, presented by the Regional Council of Biomedical Engineering for Latin America (CORAL), offer research findings, experiences and activities between institutions and universities to develop Bioengineering, Biomedical Engineering and related sciences. The conferences of the American Congress of Biomedical Engineering are sponsored by the International Federation for Medical and Biological Engineering (IFMBE), Society for Engineering in Biology and Medicine (EMBS) and the Pan American Health Organization (PAHO), among other organizations and international agencies to bring together scientists, academics and biomedical engineers in Latin America and other continents in an environment conducive to exchange and professional growth.
Handbook of Neuroimaging Data Analysis
This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.
Hacia un modelo estocástico eficiente para la valoración de activos financieros basado en el volumen de negociación: fundamentos teóricos e implementación práctica
Mientras que, dentro del Análisis Técnico, el volumen como variable sujeta a estudio ocupa un lugar de especial significación, en el análisis cuantitativo financiero, salvo algunas y remarcables excepciones, su importancia es bastante menor, cuando no marginal. La relativa escasez de fuentes bibliográficas es paralela a la falta de interés casi inherente a la investigación precio-volumen desde sus orígenes. No obstante, siendo ésta la principal razón que justifica el hecho de que no se haya ahondado lo suficiente en su estudio, podemos encontrar otras causas que le han impedido avanzar, causas por otro lado extrapolables a cualquier otra investigación cuantitativa que se sitúe al margen del análisis cuantitativo “convencional”. Entre esas causas destacaríamos: 1. Razones coyunturales y estructurales 2. Estandarización 3. Problemas de orden operativo
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