Hi, I am trying to apply a method seen in this notebook. I am interested in the first section: Bayesian inference of the parameters of an ODE. My model is written \frac{d X(t)}{dt}=\boldsymbol{f}\big(X(t),\boldsymbol{\theta}\big) with X(t) = (\mu_1(t), \cdots, \mu_{12}(t)), \boldsymbol{\theta}…

Ah sorry I didnt notice that :sweat_smile: The problem is that you have a row of data containing NaNs: 1 3 5 NA NA NA NA NA NA NA NA NA NA NA NA Try excluding this row and rerun your model

ParallelSamplingError: Bad initial energy

Questions

benedict December 9, 2019, 2:27pm 3

Isn’t it what I am already doing here?

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ParallelSamplingError: Bad initial energy

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