Narsky, Ilya
Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation and Supervised Learning
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.
Keywords: Statistical analysis techniques; particle physics; high-energy physicists; Root; Matlab; StatPatterRecognition; non-parametric density estimation; likelihood fits; neural networks; support vector machines; decision tress; ensembles of classifiers; error estimates, Data Analysis, Applied Mathematics in Science, Data Analysis, Applied Mathematics in Science
- Author(s)
- Narsky, Ilya
- Porter, Frank C.
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2014
- Language
- en
- Edition
- 1
- Page amount
- 459 pages
- Category
- Natural Sciences
- Format
- Ebook
- eISBN (ePUB)
- 9783527677290
- Printed ISBN
- 9783527410866