From 984b4904d18085684a9424d63172568f13389a01 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Cl=C3=A9lia=20de=20Mulatier?= Date: Thu, 23 Oct 2025 11:37:18 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fb472ee..4bfda70 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ The best MCM for a given dataset is found by optimising the marginal likelihood The package can be used to analyse datasets with **up to n = 128 random variables** and is limited to **variables that can take up to q=10 different values** (though it was extensively tested only up to q=5). [1] *Bayesian inference of minimally complex models with interactions of arbitrary order*, C. de Mulatier and M. Marsili, [Phys. Rev. E 111, 054307](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.111.054307) ([arXiv:2008.00520](https://arxiv.org/abs/2008.00520))
-[2] *Modeling higher-order interactions in discrete data with maximum entropy models*, A. de Clercq and C. de Mulatier, arxiv (coming soon) +[2] *Modeling higher-order interactions in discrete data with maximum entropy models*, A. de Clercq, M. Moody and C. de Mulatier, arxiv (coming soon) ## General information