Update README.rst

README.rst

@@ -77,7 +77,7 @@ where $N_i$ is the sample size for the $i^{th}$ GWAS , $\\mu$  is the intercept
 heterogeneity in statistical power across studies with precision scalar .
 Given $Z = \\{Z_i\\}^n_{i=1}$, and model parameters  $L$, $F$, $\\mu$, $\\tau$, we can compute the likelihood as
 
-$$\\mathcal{L}(L, F, \\mu, \\tau |Z) = \\prod_i \\mathcal{N}_p ( \\sqrt{N_i} (L f_i + \\mu), \\tau^{-1} I_p)$$
+$$\\mathcal{L}(L, F, \\mu, \\tau | Z) = \\prod_i \\mathcal{N}_p ( \\sqrt{N_i} (L f_i + \\mu), \\tau^{-1} I_p)$$
 
 To model our uncertainty in $L$, $F$, $\\mu$, we take a full Bayesian approach in the lower dimension latent space
 similar to a Bayesian PCA model [1]_ as,