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This book constitutes the refereed proceedings of the 11th International Symposium on Static Analysis, SAS 2004, held in Verona, Italy in August 2004. The 23 revised full papers presented with an invited paper and abstracts of 3 invited talks were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections on program and systems verification, security and safety, pointer analysis, abstract interpretation and algorithms, shape analysis, abstract domain and data structures, shape analysis and logic, and termination analysis.
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This book constitutes the refereed proceedings of the International Conference on Emerging Trends in Information and Communication Security, ETRICS 2006, held in Freiburg, Germany, in June 2006. The book presents 36 revised full papers, organized in topical sections on multilateral security; security in service-oriented computing, secure mobile applications; enterprise privacy; privacy, identity, and anonymity; security engineering; security policies; security protocols; intrusion detection; and cryptographic security.
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.
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This is the first book to tackle the diverse styles and multiple histories of popular musics in India. It brings together fourteen of the world's leading scholars on Indian popular music to contribute chapters on a range of topics from the classic songs of Bollywood to contemporary remixes, summarized by a reflective afterword by popular music scholar Timothy Taylor. The chapters in this volume address the impact of media and technology on contemporary music, the variety of industrial developments and contexts for Indian popular music, and historical trends in popular music development both before and after the Indian Independence in 1947. The book identifies new ways of engaging popular mus...
This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.
This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are en...