# Julia vs R vs Python: simple MLE problem

**URL:** <https://discourse.julialang.org/t/julia-vs-r-vs-python-simple-mle-problem/9012>\
**Category:** Optimization (Mathematical)\
**Created:** [February 12, 2018, 1:16pm UTC](https://discourse.julialang.org/t/julia-vs-r-vs-python-simple-mle-problem/9012 "2018-02-12T13:16:37Z")\
**Posts on this page:** 1\
**Showing post:** 28

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**Author:** ![tyleransom](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/tyleransom/32/530_2.png) [@tyleransom](https://discourse.julialang.org/u/tyleransom)\
**Post date:** [February 14, 2018, 9:09pm UTC](https://discourse.julialang.org/t/julia-vs-r-vs-python-simple-mle-problem/9012/28 "2018-02-14T21:09:49Z")

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Sounds good. I’ve been in search of a good interface for Julia to do common econometric MLE problems (stuff that’s not in GLM, e.g. multinomial logit, etc.). I’ve tried implementing in JuMP but the Hessian computation was overly burdensome (in terms of memory usage—see [this discourse](https://discourse.julialang.org/t/jump-excessive-memory-usage/1057/15)). So it seems like using Optim instead of JuMP may be an improvement.

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