Fix typo

Author: penelopeysm

tutorials/gaussian-mixture-models/index.qmd

@@ -112,7 +112,7 @@ model = gaussian_mixture_model(x);
 ```
 
 We run a MCMC simulation to obtain an approximation of the posterior distribution of the parameters $\mu$ and $w$ and assignments $k$.
-We use a `Gibbs` sampler that combines a [particle Gibbs](https://www.stats.ox.ac.uk/%8Edoucet/andrieu_doucet_holenstein_PMCMC.pdf) sampler for the discrete parameters (assignments $k$) and a Hamiltonian Monte Carlo sampler for the continuous parameters ($\mu$ and $w$).
+We use a `Gibbs` sampler that combines a [particle Gibbs](https://www.stats.ox.ac.uk/%7Edoucet/andrieu_doucet_holenstein_PMCMC.pdf) sampler for the discrete parameters (assignments $k$) and a Hamiltonian Monte Carlo sampler for the continuous parameters ($\mu$ and $w$).
 We generate multiple chains in parallel using multi-threading.
 
 ```{julia}