Statistics
for biology: gene regulation networks, Gaussian Graphical
Modeling, massive data sets analysis, genealogical coalescent. Statistics
for biology: gene regulation networks, Gaussian Graphical
Modeling, massive data sets analysis, genealogical coalescent.
Theoretical statistics: Model
Selection, aggregation of estimators, n<<p problems,
non-asymptotic oracle inequalities.
Coalescence - fragmentation:
statistical properties, intermediate asymptotics, branching processes
and related non-linear PDEs.
Interacting
particles: hydrodynamic limits, microscopic models for PDE,
statistical physics.
Stochastic processes: Lévy
processes, Brownian motion, and their path properties.
Burgers turbulence: statistical
properties, regularity properties, chaos.
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