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However, this model is not correct and the blocking time is confusing.
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It is puzzling to model Poisson neurons once one knows that the model is not correct.
If the model is not correct, the best optimization algorithm is also useless.
Consistent with previous work by Greene [ 31, 39] for the case of unaccounted for heterogeneity where the effects show up as inefficiency, the resulting estimates from the spatial stochastic frontier model revealed that the same problem also arises when the model is not corrected for spill over effects.
However, double mutants of che-1 with odr-7 or odr-1 indicate that this "two of three" model is not correct in its simplest form.
This indicates that either the algorithm has achieved the local minimum or the inference model is not correct.
This insensitivity of the deflection solution of a simply supported nonlocal elastic plate with respect to the small length terms of Eringen׳s model is not correct, as already detailed in the literature (for example, see [2] for beam problems).
However, if the assumed model is not correct, the likelihood method may fail.
Probabilistic Boolean networks [ 3] and dynamic Bayesian networks [ 4] can reconstruct longitudinal regulatory networks from a set of mathematical equations if the equations precisely specify the networks, but fail when the underlying model is not correct [ 5].
He calculated the distance from the Sun to the Earth, but his geometric model was not correct.
What guarantees are there we won't see similar failures if the modelling was not correct?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com