diff --git a/src/Numerics/Statistics/MCMC/MCMCDiagonistics.cs b/src/Numerics/Statistics/MCMC/MCMCDiagonistics.cs
deleted file mode 100644
index 83046e06..00000000
--- a/src/Numerics/Statistics/MCMC/MCMCDiagonistics.cs
+++ /dev/null
@@ -1,91 +0,0 @@
-// <copyright file="MCMCDiagonistics.cs" company="Math.NET">
-// Math.NET Numerics, part of the Math.NET Project
-// http://numerics.mathdotnet.com
-// http://github.com/mathnet/mathnet-numerics
-// http://mathnetnumerics.codeplex.com
-//
-// Copyright (c) 2009-2010 Math.NET
-//
-// Permission is hereby granted, free of charge, to any person
-// obtaining a copy of this software and associated documentation
-// files (the "Software"), to deal in the Software without
-// restriction, including without limitation the rights to use,
-// copy, modify, merge, publish, distribute, sublicense, and/or sell
-// copies of the Software, and to permit persons to whom the
-// Software is furnished to do so, subject to the following
-// conditions:
-//
-// The above copyright notice and this permission notice shall be
-// included in all copies or substantial portions of the Software.
-//
-// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
-// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
-// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
-// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
-// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
-// OTHER DEALINGS IN THE SOFTWARE.
-// </copyright>
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Numerics;
-
-namespace MathNet.Numerics.Statistics.Mcmc.Diagonistics
-{
-
-
-    /// <summary>
-    /// Provides utilities to analysis the convergence of a set of samples from 
-    /// a <seealso cref="McmcSampler{T}"/>.
-    /// </summary>
-    static public class MCMCDiagonistics
-    {
-        /// <summary>
-        /// Computes the auto correlations of a series evaluated by a function f. 
-        /// </summary>
-        /// <param name="Series">The series for computing the auto correlation.</param>
-        /// <param name="lag">The lag in the series</param>
-        /// <param name="f">The function used to evaluate the series.</param>
-        /// <returns>The auto correlation.</returns>
-        /// <exception cref="ArgumentOutOfRangeException">Throws if lag is zero or if lag is 
-        /// greater than or equal to the length of Series.</exception>
-        static public double ACF<T>(IEnumerable<T> Series, int lag, Func<T,double> f)
-        {
-            if (lag < 0)
-                throw new ArgumentOutOfRangeException("Lag must be positive");
-
-            int Length = Series.Count();
-            if (lag >= Length)
-                throw new ArgumentOutOfRangeException("Lag must be smaller than the sample size");
-
-            var TransformedSeries = from data in Series
-                                select f(data);
-
-            var FirstSeries = TransformedSeries.Take(Length-lag);
-
-            var SecondSeries = TransformedSeries.Skip(lag);
-            
-            return Correlation.Pearson(FirstSeries, SecondSeries);
-
-        }
-
-        /// <summary>
-        /// Computes the effective size of the sample when evaluated by a function f.
-        /// </summary>
-        /// <param name="Series">The samples.</param>
-        /// <param name="f">The function use for evaluating the series.</param>
-        /// <returns>The effective size when auto correlation is taken into account.</returns>
-        static public double EffectiveSize<T>(IEnumerable<T> Series, Func<T,double> f)
-        {
-            int Length = Series.Count();
-            double rho = ACF(Series, 1, f);
-            return ((1 - rho) / (1 + rho)) * Length;
-
-
-        }
-    }
-}
diff --git a/src/UnitTests/StatisticsTests/MCMCTests/MCMCDiagonisticsTest.cs b/src/UnitTests/StatisticsTests/MCMCTests/MCMCDiagonisticsTest.cs
deleted file mode 100644
index 5f8daa0b..00000000
--- a/src/UnitTests/StatisticsTests/MCMCTests/MCMCDiagonisticsTest.cs
+++ /dev/null
@@ -1,141 +0,0 @@
-// <copyright file="MCMCDiagonistics.cs" company="Math.NET">
-// Math.NET Numerics, part of the Math.NET Project
-// http://numerics.mathdotnet.com
-// http://github.com/mathnet/mathnet-numerics
-// http://mathnetnumerics.codeplex.com
-//
-// Copyright (c) 2009-2010 Math.NET
-//
-// Permission is hereby granted, free of charge, to any person
-// obtaining a copy of this software and associated documentation
-// files (the "Software"), to deal in the Software without
-// restriction, including without limitation the rights to use,
-// copy, modify, merge, publish, distribute, sublicense, and/or sell
-// copies of the Software, and to permit persons to whom the
-// Software is furnished to do so, subject to the following
-// conditions:
-//
-// The above copyright notice and this permission notice shall be
-// included in all copies or substantial portions of the Software.
-//
-// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
-// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
-// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
-// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
-// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
-// OTHER DEALINGS IN THE SOFTWARE.
-// </copyright>
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-
-using NUnit.Framework;
-using MathNet.Numerics.Statistics;
-using MathNet.Numerics.Distributions;
-using MathNet.Numerics.Statistics.Mcmc.Diagonistics;
-using MathNet.Numerics.Random;
-
-namespace MathNet.Numerics.UnitTests.StatisticsTests.McmcTests
-{
-    /// <summary>
-    /// MCMCDiagonistics testing.
-    /// </summary>
-    [TestFixture]
-    public class MCMCDiagonisticsTest
-    {
-        /// <summary>
-        /// For generation of a random series to test the methods.
-        /// </summary>
-        private System.Random rnd = new System.Random();
-        /// <summary>
-        /// Distribution to sample the entries of the random series from.
-        /// </summary>
-        private Normal dis = new Normal(0, 1);
-
-
-        /// <summary>
-        /// Testing the ACF function using a randomly generated series with a range
-        /// of lags.
-        /// </summary>
-        /// <param name="startlag">Minimum value of lag in the test.</param>
-        /// <param name="endlag">Maximum value of lag in the test.</param>
-        [TestCase(0, 10)]
-        [TestCase(11, 20)]
-        [TestCase(21, 30)]
-        [TestCase(31, 40)]
-        public void TestACF(int startlag, int endlag)
-        {
-            for (int lag = startlag; lag < endlag; lag++)
-            {
-                int Length = 10000;
-                double[] firstSeries = new double[Length - lag];
-                double[] secondSeries = new double[Length - lag];
-
-                double[] Series = new double[Length];
-
-                for (int i = 0; i < Length; i++)
-                { Series[i] = RandomSeries(); }
-
-                double[] TransformedSeries = new double[Length];
-                for (int i = 0; i < Length; i++)
-                { TransformedSeries[i] = Series[i] * Series[i]; }
-
-                Array.Copy(TransformedSeries, firstSeries, Length - lag);
-                Array.Copy(TransformedSeries, lag, secondSeries, 0, Length - lag);
-
-                double result = MCMCDiagonistics.ACF(Series, lag, x=>x*x);
-                double correlation = Correlation.Pearson(firstSeries, secondSeries);
-                Assert.AreEqual(result, correlation, 10e-13);
-
-            }
-        }
-
-        /// <summary>
-        /// Set lag to be greater than the length of the series throws a 
-        /// <c>ArgumentOutOfRangeException</c>.
-        /// </summary>
-        [Test]
-        public void LagOutOfRange()
-        {
-            int Length = 10;
-            double[] Series = new double[Length];
-            Assert.Throws<ArgumentOutOfRangeException>(() => MCMCDiagonistics.ACF(Series, 11, x=>x));
-
-        }
-        /// <summary>
-        /// Set lag to be negative throws a <c>ArgumentOutOfRangeException</c>.
-        /// </summary>
-        [Test]
-        public void LagNegative()
-        {
-            Assert.Throws<ArgumentOutOfRangeException>(() => MCMCDiagonistics.ACF(new double[10], -1, x=>x));
-        }
-
-        /// <summary>
-        /// Generating a random number used for the entry of the series.
-        /// </summary>
-        /// <returns>A random number.</returns>
-        private double RandomSeries()
-        { return rnd.NextDouble() + rnd.NextDouble() * (dis.Sample()); }
-
-        /// <summary>
-        /// Testing the effective size using a random series. 
-        /// </summary>
-        [Test]
-        public void EffectiveSizeTest()
-        {
-            int Length = 10;
-            double[] Series = new double[Length];
-            for (int i = 0; i < Length; i++)
-            { Series[i] = RandomSeries(); }
-
-            double rho = MCMCDiagonistics.ACF(Series, 1,x=>x*x);
-            double ESS = (1 - rho) / (1 + rho) * Length;
-            Assert.AreEqual(ESS, MCMCDiagonistics.EffectiveSize(Series,x=>x*x), 10e-13);
-        }
-    }
-}