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Nov 18, 2021 at 12:23 comment added Scortchi ... the variance function is given by $\frac{\operatorname{d} \mu}{\operatorname{d} \theta} = \frac{\operatorname{d} \mu}{\operatorname{d} \nu}\cdot\frac{\operatorname{d} \nu}{\operatorname{d} \theta}$. The link is canonical when $\nu=\theta$: so in this case the latter derivative is 1 & the variance function given by $\frac{\operatorname{d} \mu}{\operatorname{d} \nu}$.)
Nov 18, 2021 at 11:34 comment added Scortchi The first paragraph's not wrong but could be confusing - as if you were saying "If you want to get the right mean-variance relationship for your model, be sure to use the canonical link". (Letting $\theta$ be the canonical parameter in an exponential dispersion family, as explained in kjetil's answer, ...
Oct 14, 2021 at 15:42 history edited AdamO CC BY-SA 4.0
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Dec 31, 2020 at 19:42 comment added IceCreamToucan Should this say $\mu = \exp( \nu) /(1+\exp(\nu))$?
May 23, 2019 at 19:10 history edited AdamO CC BY-SA 4.0
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May 23, 2019 at 19:05 history answered AdamO CC BY-SA 4.0