Performance of pseudo-likelihood estimator in modelling cells' proliferation with noisy measurements
2010 (English)In: Conference materials XII International Workshop for Young Mathematicians: Probability Theory and Statistics, 2010, 21-42 p.Conference paper (Other academic)
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.
Probability Theory and Statistics Neurosciences
Research subject Statistics; Neurology
IdentifiersURN: urn:nbn:se:uu:diva-241884OAI: oai:DiVA.org:uu-241884DiVA: diva2:781866
XII International Workshop for Young Mathematicians