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- Sophie Hautphenne
Dr Sophie Hautphenne
Lecturer, Research Fellow
The University of Melbourne
I am a Senior Lecturer at the School of Mathematics and Statistics, University of Melbourne, and a Scientist at the Chair of Statistics, Ecole polythechnique fédérale de Lausanne. Since April 2015, I am holding an ARC Discovery Early Career Researcher Award (DECRA) at the University of Melbourne.
I obtained a PhD in Mathematics from the Université libre de Bruxelles in October 2009. My fields of research are applied probability and stochastic modelling with a particular focus on branching processes, matrix analytic methods and epidemic models. I am particularly interested in biological and ecological applications.
Research Interests:
Applied probability
Applied statistics
branching processes
Modelling of epidemics
Queueing theory
Stochastic models
Qualifications:
PhD in Mathematics
Publications
Invited talks, refereed proceedings and other conference outputs
[Anonymous]
(2019). Matrix-Analytic Methods in Stochastic Models.
(Hautphenne, S., O'Reilly M., & Poloni F., Ed.).The 10th International Conference on Matrix-Analytic Methods in Stochastic Models.
Hautphenne, S., Braunsteins P., & Abril C. Minuesa
(2019). Inference in Population-Size-Dependent Branching Processes.
Seventh Wellington Workshop in Probability and Mathematical Statistics.
Hautphenne, S.
(2019). An introduction to Markovian binary trees and their applications.
Phylomania 2019.
Hautphenne, S.
(2019). The Markovian binary tree applied to demography and conservation biology.
Macquarie University: Departmental colloquium.
Hautphenne, S.
(2016). The lost revenue function of MAP/PH/1/C queues..
StochMod 2016.
Hautphenne, S.
(2016). Fitting Markovian binary trees using global and individual population data.
The Ninth International Conference on Matrix-Analytic Methods in Stochastic Models,.
Hautphenne, S.
(2016). Fitting Markovian binary trees using global and individual population data.
2nd Lausanne CompBio Meeting.
Journal Articles
Hautphenne, S., Massaro M., & Taylor P.
(2017). How old is this bird? The age distribution under some phase sampling schemes.
Journal of Mathematical Biology. 75(6-7), 1319 - 1347. doi: 10.1007/s00285-017-1121-x
Hautphenne, S., & Latouche G.
(2016). Lyapunov exponents for branching processes in a random environment: The effect of information.
Journal of Statistical Physics. 163(2), 393-410. doi: 10.1007/s10955-016-1474-3
Braunsteins, P., Hautphenne S., & Taylor P.
(2016). The roles of coupling and the deviation matrix in determining the value of capacity in M/M/1/C queues.
Queueing Systems. 83(1-2), 157-179. doi: 10.1007/s11134-016-9480-3
Hautphenne, S., & Haviv M.
(2015). THE BIAS OPTIMAL K IN THE M/M/1/K QUEUE: AN APPLICATION OF THE DEVIATION MATRIX.
Probability in the Engineering and Informational Sciences. 30(01), 61-78. doi: 10.1017/S0269964815000285
Hautphenne, S., Kerner Y., Nazarathy Y., & Taylor P.
(2015). The intercept term of the asymptotic variance curve for some queueing output processes.
European Journal of Operational Research. 242(2), 455-464. doi: 10.1016/j.ejor.2014.10.051
Hautphenne, S., Krings G., Delvenne J-C., & Blondel V. D.
(2015). Sensitivity analysis of a branching process evolving on a network with application in epidemiology.
Journal of Complex Networks. 3(4), 606-641. doi: 10.1093/comnet/cnv001
Hautphenne, S.
(2015). A Structured Markov Chain Approach to Branching Processes.
Stochastic Models. 31(3), 403-432. doi: 10.1080/15326349.2015.1022264
