Setting: I have a single dataset from a simulation that appears to demonstrate bimodality. The dataset is composed of N measurements calculated at n different times and is two dimensional (N by n). At time $t_{end}$ the data visually appears to be bimodal. At time $t_{start}$, the data is drawn from a single distribution (initial conditions set by me). From $t_{start}$ to $t_{end}$ the system interacts in a complex manner to end up looking bimodal. No part of the final distribution looks anything like the initial distribution.

Problem: I believe the bimodality is hinting at two distinct populations that underwent different dynamical evolution during the course of the simulation. I would like to verify the bimodality and split the final dataset into two different populations in a statistically rigorous manner. How do I go about doing this?


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.