A new Monte-Carlo framework delivers reliable parameter estimation and model selection from coarsely sampled time series without needing analytical solutions —

A new Monte-Carlo framework delivers reliable parameter estimation and model selection from coarsely sampled time series without needing analytical solutions — overcoming obstacles like sparse sampling in inference for stochastic dynamical systems. 🔗 [↧](https://t.co/tw…