module Pdf:sig
..end
Please refer to
GSL documentation for details.
val flat : float -> float -> float -> float
val gaussian : float -> float -> float
gaussian_pdf x sigma
returns the probability density at xval gaussian_tail : float -> float -> float -> float
gaussian_tail_pdf x a sigma
returns the probability density at x given
a gaussian tail distribution of N(a, sigma)val bivariate_gaussian : float -> float -> float -> float -> float -> float
bivariate_gaussian x y sigma_x sigma_y rho
returns the probability
density p(x,y) at (x,y) for a bivariate Gaussian distribution with standard
deviations sigma_x, sigma_y and correlation coefficient rho.val exponential : float -> float -> float
exponential x mu
returns the probability density at xval laplace : float -> float -> float
val cauchy : float -> float -> float
val exppow : float -> float -> float -> float
val rayleigh : float -> float -> float
val landau : float -> float
val gamma : float -> float -> float -> float
val lognormal : float -> float -> float -> float
val chisq : float -> float -> float
val dirichlet : float array -> float array -> float
val dirichlet_lnpdf : float array -> float array -> float
val fdist : float -> float -> float -> float
val tdist : float -> float -> float
val beta : float -> float -> float -> float
val logistic : float -> float -> float
val pareto : float -> float -> float -> float
val weibull : float -> float -> float -> float
val gumbel1 : float -> float -> float -> float
val gumbel2 : float -> float -> float -> float
val poisson : int -> float -> float
val bernoulli : int -> float -> float
val binomial : int -> float -> int -> float
val multinomial : float array -> int array -> float
val multinomial_lnpdf : float array -> int array -> float
val negative_binomial : int -> float -> float -> float
val pascal : int -> float -> int -> float
val geometric : int -> float -> float
val hypergeometric : int -> int -> int -> int -> float
val logarithmic : int -> float -> float