Probability Companion for Engineering and Computer Science

Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.

List of contents

1. Introduction; 2. Survey of distributions; 3. Monte Carlo; 4. Discrete random variables; 5. The normal distribution; 6. Handling experimental data; 7. Mathematics of random variables; 8. Bayes; 9. Entropy; 10. Collective behavior; 11. Markov chains; 12. Stochastic processes; Appendix A. Answers to exercises; Appendix B. Probability distributions.

About the author

Adam Prügel-Bennett is Professor of Electronics and Computer Science at the University of Southampton. He received his Ph.D. in Statistical Physics at the University of Edinburgh, where he became interested in disordered and complex systems. He currently researches in the area of mathematical modelling, optimisation and machine learning and has published many papers on these subjects.

Summary

This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers.

Product details

• Authors: Adam Prugel-Bennett, Adam (University of Southampton) Prugel-Bennett, Adam Prügel-Bennett
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 31.12.2019
• EAN: 9781108727709
• ISBN: 978-1-108-72770-9
• No. of pages: 470
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Business > Individual industrial sectors, branches; COMPUTERS / Computer Science, BUSINESS & ECONOMICS / Insurance / General, BUSINESS & ECONOMICS / Econometrics, computer science, Economic statistics, Stochastics, Insurance & actuarial studies, Econometrics, Insurance and actuarial studies, Econometrics and economic statistics