Nonlinear differential equations (DEs) are used in a wide range of scientific problems to model complex dynamic systems. The often contain unknown parameters that interest, which have be estimated from noisy measurements the system. Generally, there is no closed-form solution for nonlinear DEs, and likelihood surface parameter interest multi-modal very sensitive different values. We propose Bay...

Separating confirmatory and exploratory analyses is vital for ensuring the credibility of research results. Here, we present a two-stage Bayesian sequential procedure that combines maximum freedom in first stage with strictly regimen second stage. It allows flexible sampling schemes statistically coherent carry-over information from to We believe this will facilitate preregistration as well for...