Computational Methods for Data Analysis

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.

• Introduces mathematical and statistical methods for data analysis, with applications to biology, medicine and economics


• Combines theory and applications in the processing of real-life data


• Algorithms and examples using Matlab are included