Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation, and Supervised Learning
Ilya Narsky, MathWorks;
Frank C. Porter, California Institute of Technology
Wiley-VCH Verlag GmbH, 2013
ISBN: 978-3-527-41086-6;
Language: English
Written for graduate students and professionals, Statistical Analysis Techniques in Particle Physics provides a practical approach to machine learning techniques used in analysis of particle physics data. Topics include likelihood fits, density estimation, linear transformations, classification, and variable ranking and selection.
MATLAB, Optimization Toolbox, Parallel Computing Toolbox, Statistics and Machine Learning Toolbox are used to solve examples in the book. In addition, a supplemental set of MATLAB code files is available for download.
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