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// <copyright file="Dirichlet.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://mathnet.opensourcedotnet.info
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//
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// Copyright (c) 2009 Math.NET
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//
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// Permission is hereby granted, free of charge, to any person
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// obtaining a copy of this software and associated documentation
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// files (the "Software"), to deal in the Software without
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// restriction, including without limitation the rights to use,
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// copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the
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// Software is furnished to do so, subject to the following
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// conditions:
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//
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// The above copyright notice and this permission notice shall be
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// included in all copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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// OTHER DEALINGS IN THE SOFTWARE.
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// </copyright>
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namespace dnAnalytics.Statistics.Distributions |
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{ |
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using System; |
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using Properties; |
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/// <summary>
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/// Implements the multivariate Dirichlet distribution. For details about this distribution, see
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/// <a href="http://en.wikipedia.org/wiki/Dirichlet_distribution">Wikipedia - Dirichlet distribution</a>.
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/// </summary>
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/// <remarks><para>The distribution will use the <see cref="System.Random"/> by default.
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/// Users can get/set the random number generator by using the <see cref="RandomSource"/> property.</para>
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/// <para>The statistics classes will check all the incoming parameters whether they are in the allowed
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/// range. This might involve heavy computation. Optionally, by setting Control.CheckDistributionParameters
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/// to false, all parameter checks can be turned off.</para></remarks>
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public class Dirichlet |
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{ |
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// The Dirichlet distribution parameters.
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private readonly double[] _alpha; |
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/// <summary>
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/// The distribution's random number generator.
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/// </summary>
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private Random _random; |
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/// <summary>
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/// Initializes a new instance of the Dirichlet class. The distribution will
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/// be initialized with the default <seealso cref="System.Random"/> random number generator.
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/// </summary>
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/// <param name="alpha">An array with the Dirichlet parameters.</param>
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public Dirichlet(double[] alpha) |
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{ |
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SetParameters(alpha); |
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RandomSource = new Random(); |
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} |
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/// <summary>
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/// Constructs a new symmetric Dirichlet distribution. The distribution will
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/// be initialized with the default <seealso cref="System.Random"/> random number generator.
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/// </summary>
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/// <param name="alpha">The value of each parameter of the Dirichlet distribution.</param>
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/// <param name="k">The dimension of the Dirichlet distribution.</param>
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public Dirichlet(double alpha, int k) |
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{ |
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// Create a parameter structure.
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double[] parm = new double[k]; |
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for (int i = 0; i < k; i++) |
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{ |
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parm[i] = alpha; |
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} |
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SetParameters(parm); |
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RandomSource = new Random(); |
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} |
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/// <summary>
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/// Checks whether the parameters of the distribution are valid: no parameter can be less than zero and
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/// at least one parameter should be larger than zero.
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/// </summary>
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/// <param name="alpha">The parameters of the Dirichlet distribution.</param>
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/// <returns>True when the parameters are valid, false otherwise.</returns>
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public static bool IsValidParameterSet(double[] alpha) |
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{ |
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bool allzero = true; |
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for (int i = 0; i < alpha.Length; i++) |
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{ |
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if (alpha[i] < 0.0) |
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{ |
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return false; |
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} |
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else if (alpha[i] > 0.0) |
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{ |
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allzero = false; |
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} |
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} |
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if (allzero) |
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{ |
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return false; |
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} |
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} |
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/// <summary>
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/// Sets the parameters of the distribution after checking their validity.
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/// </summary>
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/// <param name="alpha">The parameters of the Dirichlet distribution.</param>
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/// <exception cref="ArgumentOutOfRangeException">When the parameters don't pass the <see cref="IsValidParameterSet"/> function.</exception>
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private void SetParameters(double[] alpha) |
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{ |
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if (Control.CheckDistributionParameters && !IsValidParameterSet(alpha) && ! alpha.Length == _alpha.Length) |
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{ |
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throw new ArgumentOutOfRangeException(Resources.InvalidDistributionParameters); |
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} |
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for (int i = 0; i < alpha.Length; i++) |
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{ |
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_alpha[i] = alpha[i]; |
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} |
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} |
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/// <summary>
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/// A string representation of the distribution.
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/// </summary>
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public override string ToString() |
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{ |
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return "Dirichlet(Dimension = " + this.Dimension + ")"; |
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} |
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/// <summary>
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/// Gets the dimension of the Dirichlet distribution.
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/// </summary>
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public int Dimension |
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{ |
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get { return _alpha.Length; } |
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} |
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/// <summary>
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/// The parameters of the Dirichlet distribution.
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/// </summary>
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public double[] Alpha |
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{ |
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get { return _alpha; } |
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} |
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/// <summary>
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/// The sum of the Dirichlet parameters.
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/// </summary>
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private double AlphaSum |
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{ |
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get |
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{ |
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double s = 0.0; |
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for (int i = 0; i < _alpha.Length; i++) |
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{ |
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s += _alpha[i]; |
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} |
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return s; |
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} |
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} |
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/// <summary>
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/// Gets the mean of the Dirichlet distribution.
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/// </summary>
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public double[] Mean |
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{ |
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get { return _alpha / AlphaSum; } |
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} |
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/// <summary>
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/// Gets the variance of the Dirichlet distribution.
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/// </summary>
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public double[] Variance |
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{ |
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get |
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{ |
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double s = this.AlphaSum; |
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double[] v = new double[_alpha.Length]; |
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for (int i = 0; i < _alpha.Length; i++) |
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{ |
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v[i] = _alpha[i]*(s - _alpha[i])/(s*s*(s + 1.0)); |
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} |
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return v; |
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} |
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} |
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/// <summary>
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/// Gets or sets the random number generator which is used to draw random samples.
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/// </summary>
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public Random RandomSource |
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{ |
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get |
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{ |
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return _random; |
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} |
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set |
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{ |
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if (value == null) |
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{ |
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throw new ArgumentNullException(); |
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} |
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_random = value; |
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} |
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} |
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/// <summary>
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/// Samples a Dirichlet distributed random vector.
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/// </summary>
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public double[] Sample() |
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{ |
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return Sample(RandomSource, _alpha); |
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} |
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/// <summary>
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/// Samples a Dirichlet distributed random vector.
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/// </summary>
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/// <param name="rnd">The random number generator to use.</param>
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/// <param name="alpha">The Dirichlet distribution parameter.</param>
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public static double[] Sample(System.Random rnd, double[] alpha) |
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{ |
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if (Control.CheckDistributionParameters && ! IsValidParameterSet(alpha)) |
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{ |
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throw new ArgumentOutOfRangeException(Resources.InvalidDistributionParameters); |
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} |
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int n = alpha.Length; |
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double[] gv = new double[n]; |
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double sum = 0.0; |
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for (int i = 0; i < n; i++) |
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{ |
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gv[i] = Gamma.Sample(rnd, alpha[i], 1.0); |
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sum += gv[i]; |
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} |
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for (int i = 0; i < n; i++) |
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{ |
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gv[i] /= sum; |
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} |
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return gv; |
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} |
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} |
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} |
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@ -0,0 +1,62 @@ |
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// <copyright file="DirichletTests.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://mathnet.opensourcedotnet.info
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//
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// Copyright (c) 2009 Math.NET
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//
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// Permission is hereby granted, free of charge, to any person
|
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// obtaining a copy of this software and associated documentation
|
|||
// files (the "Software"), to deal in the Software without
|
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// restriction, including without limitation the rights to use,
|
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// copy, modify, merge, publish, distribute, sublicense, and/or sell
|
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// copies of the Software, and to permit persons to whom the
|
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// Software is furnished to do so, subject to the following
|
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// conditions:
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//
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// The above copyright notice and this permission notice shall be
|
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// included in all copies or substantial portions of the Software.
|
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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// OTHER DEALINGS IN THE SOFTWARE.
|
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// </copyright>
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|
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namespace dnAnalytics.Tests.Statistics.Distributions |
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{ |
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using dnAnalytics.Statistics.Distributions; |
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using NUnit.Framework; |
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[TestFixture] |
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public class DirichletTests |
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{ |
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private const double mAcceptableError = 1e-12; |
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[Test] |
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public void SymmetricDirichlet() |
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{ |
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Dirichlet d = new Dirichlet(0.3, 5); |
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for (int i = 0; i < 5; i++) |
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{ |
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Assert.AreEqual(0.3, d.Mean[i], mAcceptableError); |
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Assert.AreEqual(0.3 * (1.5 - 0.3) / (1.5 * 1.5 * 2.5), d.Variance[i], mAcceptableError); |
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} |
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} |
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[Test] |
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public void GetSetRNG() |
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{ |
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Dirichlet d = new Dirichlet(0.3, 5); |
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// Try getting the random number generator.
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System.Random rnd = d.RandomNumberGenerator; |
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// Try setting the random number generator.
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d.RandomNumberGenerator = new System.Random(); |
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} |
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} |
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} |
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