package com.activequant;
/**
* Original author: http://introcs.cs.princeton.edu/java/22library/Gaussian.java.html
*
*
*/
public class Gaussian {
// return phi(x) = standard Gaussian pdf
public static double phi(double x) {
return Math.exp(-x*x / 2) / Math.sqrt(2 * Math.PI);
}
// return phi(x, mu, signma) = Gaussian pdf with mean mu and stddev sigma
public static double phi(double x, double mu, double sigma) {
return phi((x - mu) / sigma) / sigma;
}
// return Phi(z) = standard Gaussian cdf using Taylor approximation
public static double Phi(double z) {
if (z < -8.0) return 0.0;
if (z > 8.0) return 1.0;
double sum = 0.0, term = z;
for (int i = 3; sum + term != sum; i += 2) {
sum = sum + term;
term = term * z * z / i;
}
return 0.5 + sum * phi(z);
}
// return Phi(z, mu, sigma) = Gaussian cdf with mean mu and stddev sigma
public static double Phi(double z, double mu, double sigma) {
return Phi((z - mu) / sigma);
}
// Compute z such that Phi(z) = y via bisection search
public static double PhiInverse(double y) {
return PhiInverse(y, .00000001, -8, 8);
}
// bisection search
private static double PhiInverse(double y, double delta, double lo, double hi) {
double mid = lo + (hi - lo) / 2;
if (hi - lo < delta) return mid;
if (Phi(mid) > y) return PhiInverse(y, delta, lo, mid);
else return PhiInverse(y, delta, mid, hi);
}
}