Dr Patrick Laub

Dr Patrick Laub

Business School
School of Risk and Actuarial Studies

Patrick Laub is a mathematician & software engineer, and is currently a Lecturer in the School of Risk and Actuarial Studies. He is interested in the intersection of mathematics/statistics and computing, and has previously interned at Google & worked for Data61. His recent research topics include the Empirical Dynamic Modelling, Approximate Bayesian Computation, and Hawkes Processes. Patrick's joint PhD in computational applied probability was completed between the University of Queensland and Aarhus University. For further information, see https://pat-laub.github.io/ .

  • Journal articles | 2018
    Parick L; Robert S; Botev Z, 2018, 'Monte Carlo estimation of the density of the sum of dependent random variables', Mathematics and Computers in Simulation, http://dx.doi.org/10.1016/j.matcom.2018.12.001