The Elements of Hawkes Processes (PDF)
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This book is designed primarily for applied probabilists, statisticians, and machine learners. However, the mathematical prerequisites have been kept to a minimum so that the content will also be of interest to undergraduates in advanced mathematics and statistics, as well as machine learning practitioners. Knowledge of matrix theory with basics of probability theory, including Poisson processes, is considered a prerequisite. Colour-blind-friendly illustrations are included.
Young Lee is a postdoctoral fellow in the Faculty of Arts and Sciences at Harvard University. He is a researcher working in the fields of applied probability, statistics, and machine learning. Dr. Lee has a doctorate in Statistics from the London School of Economics.
Thomas Taimre is a senior lecturer at the School of Mathematics and Physics at the University of Queensland. His research focuses on stochastic modelling and simulation, ranging from theoretical work in probabilistic modelling and stochasticcontrol, to developing efficient simulation techniques, to applying Monte Carlo methods and numerical methods to understand the behavior of laser sensors that rely on optical feedback. Dr. Taimre earned his doctorate in mathematics from the University of Queensland.
- Autoren: Patrick J. Laub , Young Lee , Thomas Taimre
- 2022, 1st ed. 2021, 133 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030846393
- ISBN-13: 9783030846398
- Erscheinungsdatum: 03.01.2022
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- Dateiformat: PDF
- Größe: 3.26 MB
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