/* * MultivariateBrownianBridge.java * * Copyright (c) 2002-2015 Alexei Drummond, Andrew Rambaut and Marc Suchard * * This file is part of BEAST. * See the NOTICE file distributed with this work for additional * information regarding copyright ownership and licensing. * * BEAST is free software; you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as * published by the Free Software Foundation; either version 2 * of the License, or (at your option) any later version. * * BEAST is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with BEAST; if not, write to the * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, * Boston, MA 02110-1301 USA */ package dr.geo; import dr.math.distributions.MultivariateNormalDistribution; import java.util.LinkedList; import java.util.List; /** * @author Alexei Drummond * @author Marc Suchard */ public class MultivariateBrownianBridge { private static boolean stop; /** * Divide and conquer brownian bridge; NOT THREAD-SAFE!!!!! * * @param normal multivariate normal distribution characterizing Brownian bridge * @param start starting spacetime * @param end ending spacetime * @param depth depth of divide and conquer recursion resulting in 2^(depth-1) new points * @param maxTries maximum number of rejections for each level - MUST BE 1 for correct sampling under absorptive boundaries (says AlexeiMarc) * @param rejector invalid space/time rejector * @return list of points, containing 2 + 2^(depth-1) points */ public static List<SpaceTime> divideConquerBrownianBridge(MultivariateNormalDistribution normal, SpaceTime start, SpaceTime end, int depth, int maxTries, SpaceTimeRejector rejector) { List<SpaceTime> points = new LinkedList<SpaceTime>(); points.add(start); points.add(end); stop = false; if (divideConquerBrownianBridge(normal, 0, points, depth, maxTries, rejector) == (2 << (depth - 1))) { return points; } stop = false; return null; } public static int divideConquerBrownianBridge(MultivariateNormalDistribution normal, int point0, List<SpaceTime> points, int depth, int maxTries, SpaceTimeRejector rejector) { if (depth > 0 && !stop) { SpaceTime pt0 = points.get(point0); SpaceTime pt1 = points.get(point0 + 1); double t0 = pt0.getTime(); double[] x0 = pt0.getX(); double t1 = pt1.getTime(); double[] x1 = pt1.getX(); double tm = (t1 + t0) / 2.0; double t0m = tm - t0; double p0m = 1.0 / t0m; double tm1 = t1 - tm; double pm1 = 1.0 / tm1; // p0m + pm1 = precision of pt at tm, double v01 = 1.0 / (p0m + pm1); // System.err.println("p0m = " + p0m); // System.err.println("pm1 = " + pm1); // System.err.println("v01 = " + v01); final int dim = x0.length; double[] xm = new double[dim]; for (int i = 0; i < dim; i++) { xm[i] = (p0m * x0[i] + pm1 * x1[i]) * v01; } // System.err.println("Mean: " + new Vector(xm)); int tries = 0; SpaceTime s; do { s = new SpaceTime(tm, normal.nextScaledMultivariateNormal(xm, v01)); tries += 1; if (tries > maxTries) { stop = true; return 0; } } while (rejector != null && rejector.reject(s.time, s.space)); points.add(point0 + 1, s); int endPoint = divideConquerBrownianBridge(normal, point0, points, depth - 1, maxTries, rejector); return divideConquerBrownianBridge(normal, endPoint, points, depth - 1, maxTries, rejector); } else return point0 + 1; } }