public void ConstructorTest4()
        {
            #region doc_fit_epanechnikov
            // Suppose we have the following data, and we would
            // like to estimate a distribution from this data

            double[][] samples =
            {
                new double[] { 0, 1 },
                new double[] { 1, 2 },
                new double[] { 5, 1 },
                new double[] { 7, 1 },
                new double[] { 6, 1 },
                new double[] { 5, 7 },
                new double[] { 2, 1 },
            };

            // Start by specifying a density kernel
            IDensityKernel kernel = new EpanechnikovKernel(dimension: 2);

            // Create a multivariate Empirical distribution from the samples
            var dist = new MultivariateEmpiricalDistribution(kernel, samples);


            // Common measures
            double[] mean   = dist.Mean;     // { 3.71, 2.00 }
            double[] median = dist.Median;   // { 3.71, 2.00 }
            double[] var    = dist.Variance; // { 7.23, 5.00 } (diagonal from cov)
            double[,] cov = dist.Covariance; // { { 7.23, 0.83 }, { 0.83, 5.00 } }

            // Probability mass functions
            double pdf1 = dist.ProbabilityDensityFunction(new double[] { 2, 1 });    // 0.039131176997318849
            double pdf2 = dist.ProbabilityDensityFunction(new double[] { 4, 2 });    // 0.010212109770266639
            double pdf3 = dist.ProbabilityDensityFunction(new double[] { 5, 7 });    // 0.02891906722705221
            double lpdf = dist.LogProbabilityDensityFunction(new double[] { 5, 7 }); // -3.5432541357714742
            #endregion

            Assert.AreEqual(3.7142857142857144, mean[0]);
            Assert.AreEqual(2.0, mean[1]);
            Assert.AreEqual(3.7142857142857144, median[0]);
            Assert.AreEqual(2.0, median[1]);
            Assert.AreEqual(7.2380952380952381, var[0]);
            Assert.AreEqual(5.0, var[1]);
            Assert.AreEqual(7.2380952380952381, cov[0, 0]);
            Assert.AreEqual(0.83333333333333337, cov[0, 1]);
            Assert.AreEqual(0.83333333333333337, cov[1, 0]);
            Assert.AreEqual(5.0, cov[1, 1]);
            Assert.AreEqual(0.039131176997318849, pdf1);
            Assert.AreEqual(0.010212109770266639, pdf2);
            Assert.AreEqual(0.02891906722705221, pdf3);
            Assert.AreEqual(-3.5432541357714742, lpdf);
        }
Exemple #2
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        public void EpanechnikovKernelTest()
        {
            EpanechnikovKernel kernel = new EpanechnikovKernel(dimension: 1);

            Assert.AreEqual(3.0 / 4.0, kernel.Constant);

            double[] actual = new double[11];
            for (int i = 0; i < actual.Length; i++)
            {
                actual[i] = kernel.Function((i - 5) / 10.0);
            }

            double[] expected =
            {
                0.5625,              0.63, 0.6825, 0.72, 0.74249999999999994,
                0.75,
                0.74249999999999994, 0.72, 0.6825, 0.63, 0.5625
            };

            for (int i = 0; i < actual.Length; i++)
            {
                Assert.AreEqual(expected[i], actual[i]);
            }
        }