% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/distrib.R
\name{lossdistrib.fft}
\alias{lossdistrib.fft}
\title{Loss distribution of a portfolio}
\usage{
lossdistrib.fft(p)
}
\arguments{
\item{p}{Numeric vector, the vector of success probabilities}
}
\value{
A vector such that q[k]=P(S=k)
}
\description{
\code{lossdistrib.fft} computes the probability distribution of a sum
of independent Bernouilli variables with unequal probabilities.
}
\details{
This uses the fft. Complexity is of order O(n m) + O(m\log{m})
where m is the size of the grid and n, the number of probabilities.
It is slower than the recursive algorithm in practice.
We compute the probability distribution of S = \sum_{i=1}^n X_i
where X_i is Bernouilli(p_i)
}