# How to implement implicit likelihood model in Edward?

**URL:** <https://discourse.edwardlib.org/t/how-to-implement-implicit-likelihood-model-in-edward/865>\
**Category:** General\
**Created:** [July 19, 2018, 3:57am UTC](https://discourse.edwardlib.org/t/how-to-implement-implicit-likelihood-model-in-edward/865 "2018-07-19T03:57:02Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![pswpswpsw](https://yyz1.discourse-cdn.com/flex035/user_avatar/discourse.edwardlib.org/pswpswpsw/32/332_2.png) [@pswpswpsw](https://discourse.edwardlib.org/u/pswpswpsw)\
**Post date:** [July 19, 2018, 3:57am UTC](https://discourse.edwardlib.org/t/how-to-implement-implicit-likelihood-model-in-edward/865/1 "2018-07-19T03:57:02Z")

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Hi all,

Say P(D|W) = N(w_x + w_x\*x - e^x; 0, I)

So given W as model parameters, we can determine the likelihood of data D as x.

But, it seems that tutorial of Edward only support **explicit** likelihood model such as

x = N(f(w), I)

Has anyone done this before? Thanks in advance!