Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can...

Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and...

• Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques
• Implement CNN models on image classification, transfer learning, Object Detection,...

Global climate change is typically understood and modeled using global climate models (GCMs), but the outputs of these models in terms of hydrological variables are only available on coarse or large spatial and time scales, while finer spatial and temporal resolutions are needed to reliably assess the hydro-environmental impacts of...

The eighteen months between June 2016 and the end of 2017 saw the victory of Leave in Britain’s EU referendum, the election of Donald Trump as President of the United States, and unprecedented support for Marine Le Pen of the Front National in her campaign for the same office in France. Nearly a decade after the great financial...