Monte Carlo statistical methods, Bayesian methods, stochastic dynamical modelling, parameter estimation (inverse problem)
- Fit a mathematical model to pharmacokinetic data.
- Find estimates of model parameters for complex models that are not analytically tractable, e.g. nonlinear, with unobserved components and/or stochastic dynamics.
- Uncertainty quantification of model unknowns using Bayesian methodology.
Contact
Umberto Picchini
Centre for Mathematical Sciences
umberto@maths.lth.se