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This issue deals with the choice of likelihood. Let the data be Y_t and and let the solution to the ode be mu(t).
Y_t
mu(t)
We can either say that
Y_t ~ negative_binomial(mu(t), sigma)
or
Y_t ~ lognormal(log(mu(t)), sigma)
We should test (a) if these make a difference in terms of parameter estimates and ESSs and (b) whether one runs faster than the other.
The text was updated successfully, but these errors were encountered:
marciomacielbastos
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This issue deals with the choice of likelihood. Let the data be
Y_t
and and let the solution to the ode bemu(t)
.We can either say that
or
We should test (a) if these make a difference in terms of parameter estimates and ESSs and (b) whether one runs faster than the other.
The text was updated successfully, but these errors were encountered: