Sequential Monte Carlo - Approximate Bayesian Computation - Lotka–Volterra Example

epsilon is the scaling parameter for the distance functions. Once defined by the user, that’s constant. What is gradually reduced, automatically, is the temperature (actually we change the inverse temperature from 0 to 1). Here you can read a few more details and examples 8. Approximate Bayesian Computation — Bayesian Modeling and Computation in Python

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