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 x
val 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
Discrete random variables
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