Hi I am new to Julia and Turing and am trying to fit a forced 0-D box ODE to data, but I get type error when doing sampling. The tutorial ( Bayesian Estimation of Differential Equations ) gives an example for unforced LV model. Following this page ( julia - solve system of ODEs with read in external …

[image] Duo_Chan: predicted = solve(ode_lin, Tsit5(); p=p, saveat=1) You need to do u0 = typeof(α).(ode_lin.u0) to promote it to dual. But I have an idea for how to automate this promotion, so I’ll instead respond with a PR in a second.

TypeError in Julia/Turing when sampling for a forced differential equation

General Usage

ChrisRackauckas June 18, 2022, 4:16pm 5

Yes, just do what I mentioned. Though there’s a fix coming soon as well.

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TypeError in Julia/Turing when sampling for a forced differential equation

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