diff --git a/src/Numerics/Statistics/MCMC/MCMCSampler.cs b/src/Numerics/Statistics/MCMC/MCMCSampler.cs
index dcd9bf4d..87870a80 100644
--- a/src/Numerics/Statistics/MCMC/MCMCSampler.cs
+++ b/src/Numerics/Statistics/MCMC/MCMCSampler.cs
@@ -97,7 +97,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
         protected int mSamples;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="AbstractRandomNumberGenerator"/> class.
+        /// Initializes a new instance of the <see cref="McmcSampler"/> class.
         /// </summary>
         /// <remarks>Thread safe instances are two and half times slower than non-thread
         /// safe classes.</remarks>
diff --git a/src/Numerics/Statistics/MCMC/RejectionSampler.cs b/src/Numerics/Statistics/MCMC/RejectionSampler.cs
index 57e64e06..c70fb9b9 100644
--- a/src/Numerics/Statistics/MCMC/RejectionSampler.cs
+++ b/src/Numerics/Statistics/MCMC/RejectionSampler.cs
@@ -34,7 +34,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
     /// <summary>
     /// Rejection sampling produces samples from distribition P by sampling from a proposal distribution Q
     /// and accepting/rejecting based on the density of P and Q. The density of P and Q don't need to
-    /// to be normalized, but we do need that for each x, P(x) < Q(x).
+    /// to be normalized, but we do need that for each x, P(x) &lt; Q(x).
     /// </summary>
     /// <typeparam name="T">The type of samples this sampler produces.</typeparam>
     public class RejectionSampler<T> : McmcSampler<T>