The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines alternative methodological approaches and concepts, including quantile spectra and co-spectra, and explores topics such as non-linear and non-stationary behavior, stochastic...
Web 2.0 architecture opens up an incredible number of options for flexible web design, creative reuse, and easier updates. Along with covering the key languages and techniques of Web 2.0, this unique book introduces you to all of the technologies that make up Web 2.0 at a professional level. Throughout the chapters, you'll find code for several...
Maybe it was the recent Atari 2600 milestone anniversary that fueled nostalgia for the golden days of computer and console gaming. Every Game Boy must ponder his roots from time to time. But whatever is driving the current retro gaming craze, one thing is certain: classic games are back for a big second act, and they're being...
Like Stan Openshaw (1998) in the foreword to the ‘Innovations in GIS 5’, I have never been asked to write a foreword before, and also like him I am concerned that after you read this one (and who reads forewords anyway?) I may never be invited again. But, as readers of this foreword will be probably be sparse and perhaps limited to the...
Unlike wired networks where transmitters have no effect on receivers other than their own, in wireless networks we are limited by interference. The traditional routing methods are not optimal any more when it comes to a wireless medium. The maximum data rate on each link depends not only on the power in that link but also on the transmitted...
Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both...
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...
Beginning XML provides a complete course in the Extensible Markup Language (XML) with an unusually gradual learning curve. In fact, the introduction states that the book is "for people who know that it would be a pretty good idea to learn the language, but aren't 100 percent sure why." Despite its recognition of the...
There are many algorithm texts that provide lots of well-polished code and proofs of correctness. This book is not one of them. Instead, this book presents insights, notations, and analogies to help the novice describe and think about algorithms like an expert. By looking at both the big picture and easy step-by-step methods for developing...
Understand the investment template that dominates the pension industry
Liability-Driven Investment is the practitioner’s guide to this increasingly popular investment template. Already the dominant framework for pension schemes in Europe and the UK, the LDI market is expected to grow significantly...
"This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in...
