Maximum likelihood estimation for germination-growth processes with application to neurotransmitters data

Sung Nok CHIU*, I. S. Molchanov, M. P. Quine

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)725-732
Number of pages8
JournalJournal of Statistical Computation and Simulation
Volume73
Issue number10
DOIs
Publication statusPublished - 1 Oct 2003

Scopus Subject Areas

  • Statistics and Probability
  • Modelling and Simulation
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

User-Defined Keywords

  • Germination-growth
  • Maximum likelihood estimation
  • Neurobiology
  • Poisson
  • Synapse

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