The theory of branching processes Klebaner, Introduction to stochastic calculus with applications Structural and practical identifiability analysis of partially observed dynamical 474 models by exploiting the profile likelihood Data2dynamics: a modeling environment tailored to parameter estimation 480 in dynamical systems, From Individual Stochastic Processes 461 to Macroscopic Models in Adaptive Evolution, Stoch. Models Stochastic Simulation Service: Bridging 466 the Gap between the Computational Expert and the Biologist Modèles particulaires stochastiques pour desprobì emes d'´ evolution adaptative 483 et pour l'approximation de solutions statistiques, pp.460-462, 1963. ,
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Analysis and calibration of a linear model for structured cell populations with unidirectional motion : Application to the morphogenesis of ovarian follicles. arxiv preprint, pp.1-21, 2017. ,
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, (a) Practical Identifiability for ?(t; p) = (M (j) (t; p)) j?1,J (b) Practical Identifiability for ?(t, SUPPLEMENTARY MATERIALS: CELL DYNAMICS WITH UNIDIRECTIONAL, p.1