ExponentialFamilyRepresentation.java

  1. package org.drip.measure.gamma;

  2. /*
  3.  * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
  4.  */

  5. /*!
  6.  * Copyright (C) 2020 Lakshmi Krishnamurthy
  7.  * Copyright (C) 2019 Lakshmi Krishnamurthy
  8.  *
  9.  *  This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
  10.  *      asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
  11.  *      analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
  12.  *      equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
  13.  *      numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
  14.  *      and computational support.
  15.  *  
  16.  *      https://lakshmidrip.github.io/DROP/
  17.  *  
  18.  *  DROP is composed of three modules:
  19.  *  
  20.  *  - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
  21.  *  - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
  22.  *  - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
  23.  *
  24.  *  DROP Product Core implements libraries for the following:
  25.  *  - Fixed Income Analytics
  26.  *  - Loan Analytics
  27.  *  - Transaction Cost Analytics
  28.  *
  29.  *  DROP Portfolio Core implements libraries for the following:
  30.  *  - Asset Allocation Analytics
  31.  *  - Asset Liability Management Analytics
  32.  *  - Capital Estimation Analytics
  33.  *  - Exposure Analytics
  34.  *  - Margin Analytics
  35.  *  - XVA Analytics
  36.  *
  37.  *  DROP Computational Core implements libraries for the following:
  38.  *  - Algorithm Support
  39.  *  - Computation Support
  40.  *  - Function Analysis
  41.  *  - Model Validation
  42.  *  - Numerical Analysis
  43.  *  - Numerical Optimizer
  44.  *  - Spline Builder
  45.  *  - Statistical Learning
  46.  *
  47.  *  Documentation for DROP is Spread Over:
  48.  *
  49.  *  - Main                     => https://lakshmidrip.github.io/DROP/
  50.  *  - Wiki                     => https://github.com/lakshmiDRIP/DROP/wiki
  51.  *  - GitHub                   => https://github.com/lakshmiDRIP/DROP
  52.  *  - Repo Layout Taxonomy     => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
  53.  *  - Javadoc                  => https://lakshmidrip.github.io/DROP/Javadoc/index.html
  54.  *  - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
  55.  *  - Release Versions         => https://lakshmidrip.github.io/DROP/version.html
  56.  *  - Community Credits        => https://lakshmidrip.github.io/DROP/credits.html
  57.  *  - Issues Catalog           => https://github.com/lakshmiDRIP/DROP/issues
  58.  *  - JUnit                    => https://lakshmidrip.github.io/DROP/junit/index.html
  59.  *  - Jacoco                   => https://lakshmidrip.github.io/DROP/jacoco/index.html
  60.  *
  61.  *  Licensed under the Apache License, Version 2.0 (the "License");
  62.  *      you may not use this file except in compliance with the License.
  63.  *  
  64.  *  You may obtain a copy of the License at
  65.  *      http://www.apache.org/licenses/LICENSE-2.0
  66.  *  
  67.  *  Unless required by applicable law or agreed to in writing, software
  68.  *      distributed under the License is distributed on an "AS IS" BASIS,
  69.  *      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  70.  *  
  71.  *  See the License for the specific language governing permissions and
  72.  *      limitations under the License.
  73.  */

  74. /**
  75.  * <i>ExponentialFamilyRepresentation</i> represents the Natural Parameters and the Natural Statistics of the
  76.  *  R<sup>1</sup> Exponential Family of Distributions. The References are:
  77.  *
  78.  * <br><br>
  79.  *  <ul>
  80.  *      <li>
  81.  *          Devroye, L. (1986): <i>Non-Uniform Random Variate Generation</i> <b>Springer-Verlag</b> New York
  82.  *      </li>
  83.  *      <li>
  84.  *          Gamma Distribution (2019): Gamma Distribution
  85.  *              https://en.wikipedia.org/wiki/Chi-squared_distribution
  86.  *      </li>
  87.  *      <li>
  88.  *          Louzada, F., P. L. Ramos, and E. Ramos (2019): A Note on Bias of Closed-Form Estimators for the
  89.  *              Gamma Distribution Derived From Likelihood Equations <i>The American Statistician</i> <b>73
  90.  *              (2)</b> 195-199
  91.  *      </li>
  92.  *      <li>
  93.  *          Minka, T. (2002): Estimating a Gamma distribution https://tminka.github.io/papers/minka-gamma.pdf
  94.  *      </li>
  95.  *      <li>
  96.  *          Ye, Z. S., and N. Chen (2017): Closed-Form Estimators for the Gamma Distribution Derived from
  97.  *              Likelihood Equations <i>The American Statistician</i> <b>71 (2)</b> 177-181
  98.  *      </li>
  99.  *  </ul>
  100.  *
  101.  *  <br><br>
  102.  *  <ul>
  103.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ComputationalCore.md">Computational Core Module</a></li>
  104.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/NumericalAnalysisLibrary.md">Numerical Analysis Library</a></li>
  105.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/measure/README.md">R<sup>d</sup> Continuous/Discrete Probability Measures</a></li>
  106.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/measure/gamma/README.md">R<sup>1</sup> Gamma Distribution Implementation/Properties</a></li>
  107.  *  </ul>
  108.  *
  109.  * @author Lakshmi Krishnamurthy
  110.  */

  111. public class ExponentialFamilyRepresentation
  112. {
  113.     private double[] _naturalParametersArray = null;
  114.     private double[] _naturalStatisticsArray = null;

  115.     /**
  116.      * ExponentialFamilyRepresentation Constructor
  117.      *
  118.      * @param naturalParametersArray Array of Natural Parameters
  119.      * @param naturalStatisticsArray Array of Natural Statistics
  120.      *
  121.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  122.      */

  123.     public ExponentialFamilyRepresentation (
  124.         final double[] naturalParametersArray,
  125.         final double[] naturalStatisticsArray)
  126.         throws java.lang.Exception
  127.     {
  128.         if (null == (_naturalParametersArray = naturalParametersArray) ||
  129.             null == (_naturalStatisticsArray = naturalStatisticsArray) ||
  130.             0 == _naturalParametersArray.length ||
  131.             org.drip.numerical.common.NumberUtil.IsValid (
  132.                 _naturalParametersArray
  133.             ) || 0 == _naturalStatisticsArray.length ||
  134.             org.drip.numerical.common.NumberUtil.IsValid (
  135.                 _naturalStatisticsArray
  136.             )
  137.         )
  138.         {
  139.             throw new java.lang.Exception (
  140.                 "ExponentialFamilyRepresentation Constructor => Invalid Inputs"
  141.             );
  142.         }
  143.     }

  144.     /**
  145.      * Retrieve the Array of Natural Parameters
  146.      *
  147.      * @return The Array of Natural Parameters
  148.      */

  149.     public double[] naturalParametersArray()
  150.     {
  151.         return _naturalParametersArray;
  152.     }

  153.     /**
  154.      * Retrieve the Array of Natural Statistics
  155.      *
  156.      * @return The Array of Natural Statistics
  157.      */

  158.     public double[] naturalStatisticsArray()
  159.     {
  160.         return _naturalStatisticsArray;
  161.     }
  162. }