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- Patrick Laub
Dr Patrick Laub
PhD Student
The University of Queensland
I'm a mathematician & software engineer having recently finished a PhD in applied probability theory. Other areas I'm interested in are finance, stochastic simulation methods, operations research, and software engineering. I have extensive experience in software roles including work at Google & NICTA.
Research Interests:
Applied probability
Asymptotic analysis
Monte Carlo Methods
Qualifications:
Bachelor of Engineering (Software, 1st class Honours) / Science (Mathematics)
Bachelor of Science (Mathematics, 1st class Honours)
PhD in Mathematics
Projects
Prizes, awards and special recognition
2016
Second place in the 2016 Advanced Sampling and Exploration Matlab Competition was awarded to Patrick Laub. Awarded from the ACEMS.
Publications
Invited talks, refereed proceedings and other conference outputs
Journal Articles
Andersen, L. Nørvang, Laub P., & Rojas-Nandayapa L.
(2018). Efficient Simulation for Dependent Rare Events with Applications to Extremes.
Methodology and Computing in Applied Probability. 20(1), 385-409. doi: 10.1007/s11009-017-9557-4
Asmussen, S., Hashorva E., Laub P., & Taimre T.
(2017). Tail asymptotics of light-tailed Weibull-like sums.
Laub, P., Asmussen S., Jensen J. L., & Rojas-Nandayapa L.
(2016). Approximating the Laplace transform of the sum of dependent lognormals.
Advances in Applied Probability. 48(A), 203-215. doi: 10.1017/apr.2016.50
Research links

