Автор: Patrick J. Laub

Patrick J. Laub is a mathematician and software engineer who is currently a postdoctoral fellow at the University of Melbourne. He has published works on a variety of subjects in statistics, applied probability, actuarial science, and data science, and is the author of statistical software packages in Python, Stata, and Julia. His Ph D in applied probability was jointly awarded by the University of Queensland and Aarhus University. 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.