Estimating parameters from multiple time series of population dynamics using Bayesian inference
B. Rosenbaum, M. Raatz, G. Weithoff, G. F. Fussmann, U. Gaedke
This paper estimates model parameters and their variability from experimental time series data using Bayesian inference and dynamical population models, showing that cyclic dynamics provide more precise parameter estimates than steady states.
bioRxiv · Nov 15, 2018Ecology