# Multivariate Binomial Variable

**URL:** <https://discourse.julialang.org/t/multivariate-binomial-variable/60617>\
**Category:** Probabilistic Programming\
**Tags:** question, turing\
**Created:** [May 6, 2021, 3:22am UTC](https://discourse.julialang.org/t/multivariate-binomial-variable/60617 "2021-05-06T03:22:44Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![ParadaCarleton](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/paradacarleton/32/20005_2.png) [@ParadaCarleton](https://discourse.julialang.org/u/ParadaCarleton)\
**Post date:** [May 6, 2021, 3:22am UTC](https://discourse.julialang.org/t/multivariate-binomial-variable/60617/1 "2021-05-06T03:22:44Z")

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I’m trying to build a model for a situation where I have a vector of binomial trials, all of which are correlated. Stan has a [useful tutorial](https://mc-stan.org/docs/2_18/stan-users-guide/multivariate-outcomes.html) for the special case where the trials are all Bernoulli trials and I want to use the probit link; however, I have a case where the trials are binomial rather than Bernoulli, and I’d like to use a logit link. Is there a way to accomplish this in either Turing or Soss?