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Performance of pseudo-likelihood estimator in modelling cells' proliferation with noisy measurements
Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg.
University of Gothenburg.
2010 (English)In: Conference materials XII International Workshop for Young Mathematicians: Probability Theory and Statistics, 2010, 21-42 p.Conference paper (Other academic)
Abstract [en]

Branching processes are widely used to describe cell development and proliferation. Currently parameter estimation is studied in mathematical models describing the dynamics of cell cultures where we can get very accurate measurements of cell counts. In vivo samples we will not have this accuracy, here the noise levels can be very significant. We will study a newly proposed pseudo-likelihood estimator of a multitype Bellman-Harris process modelling cell development and see how it performs under noisy measurements of cell counts.

Place, publisher, year, edition, pages
2010. 21-42 p.
National Category
Probability Theory and Statistics Neurosciences
Research subject
Statistics; Neurology
URN: urn:nbn:se:uu:diva-241884OAI: oai:DiVA.org:uu-241884DiVA: diva2:781866
XII International Workshop for Young Mathematicians
Available from: 2015-01-19 Created: 2015-01-19 Last updated: 2015-01-26

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Bartoszek, Krzysztof
Probability Theory and StatisticsNeurosciences

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