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

Chiu, S. N.; Molchanov, Ilya; Quine, M. P. (2003). Maximum likelihood estimation for germination-growth processes with application to neurotransmitters data. Journal of statistical computation and simulation, 73(10), pp. 725-732. Taylor & Francis 10.1080/0094965031000078855

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science

UniBE Contributor:

Molchanov, Ilya

Subjects:

300 Social sciences, sociology & anthropology > 360 Social problems & social services
500 Science > 510 Mathematics

ISSN:

0094-9655

Publisher:

Taylor & Francis

Language:

English

Submitter:

Ilya Molchanov

Date Deposited:

08 Aug 2016 16:17

Last Modified:

08 Aug 2016 16:17

Publisher DOI:

10.1080/0094965031000078855

BORIS DOI:

10.7892/boris.85361

URI:

https://boris.unibe.ch/id/eprint/85361

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