The fatality model has a component that is GPD - see equations. I need to be able in Fortran to determine a million random numbers that fit the GPD data for a given theta and lambda - has anyone done this sort of thing before. - can I use a transformation onto a standard distribution
The GPD is a challenging Probability Distribution -- I was thinking about how do the maths people do the transformation from a uniform PD to a Gaussian -- the procedure must be codable. Also I was wondering if we could treat the problem like a refraction thru a lens -- the output form the lens i the GPD numbers and the input is uniform random numbers.
There was 2400 deaths yesterday - the virus is a bastard.