Maximum likelihood estimation for germination-growth processes with application to neurotransmitters data
A maximum likelihood procedure is given for estimating parameters in a germination-growth process, based on germination times only or on both times and locations. The process is assumed to be driven by a Poisson process whose intensity is of known analytical form. The procedure is shown to perform well on simulated data with unnormalised gamma intensity and is also applied to data on release of neurotransmitter at a synapse.
maximum likelihood estimation germination-growth poisson synapse neurobiology