# Maximum Likelihood: Normal Linear Model

**URL:** <https://discourse.julialang.org/t/maximum-likelihood-normal-linear-model/11664>\
**Category:** Optimization (Mathematical)\
**Created:** [June 13, 2018, 9:40pm UTC](https://discourse.julialang.org/t/maximum-likelihood-normal-linear-model/11664 "2018-06-13T21:40:24Z")\
**Posts on this page:** 1\
**Showing post:** 20

<div class="post-metadata">

**Author:** ![Donald\_Lacombe](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/donald_lacombe/32/13500_2.png) [@Donald\_Lacombe](https://discourse.julialang.org/u/Donald_Lacombe)\
**Post date:** [June 19, 2018, 1:18pm UTC](https://discourse.julialang.org/t/maximum-likelihood-normal-linear-model/11664/20 "2018-06-19T13:18:20Z")

</div>

Thank you all for the information! I’m eager to learn how to use Literate so I will concentrate on that for the time being. Your examples look straightforward and very helpful. Amazing how it produces such nice output…

Also, the Hessian code you mentioned earlier (i.e. `hessian!`) matched the analytical VC matrix calculation perfectly so that was nice to see (the analytical solution breaks down with increasing `N` so that’s why I use the numerical hessian).

I’ll be in touch once the example is complete.

Thanks!

---

_[View the full topic](https://discourse.julialang.org/t/maximum-likelihood-normal-linear-model/11664)._