|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Stochastic modelling in Biology
If you have a question about this talk, please contact Julia Blackwell.Traditionally, biological systems are modelled by deterministic models. However, biochemical reacting systems which involve small number of molecules of certain species may not be adequately modelled by a deterministic differential equations. Stochastic models, in form of jump processes or stochastic differential equations, have been proposed instead for analyzing such systems(Gillespie1976, Gillespie 1977).
Aim of this project is to gain some insight of the stochastic behavior in biochemical systems and their comparison to the deterministic models in performing parameter inference and model selection.
This talk is part of the Statistical Laboratory Graduate Seminars series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsCategory Theory Seminar Machine Learning and Inference (One day meeting) Biology talks
Other talksOral fluid testing in pigs: the potential of novel collective sampling methods to detect low prevalence and subclinical diseases Strategies for managing social media research data – A digital methods development workshop organised by Cambridge University Library and the Digital Humanities Network. Determinants of economic choice and information-seeking behavior St Catharine's Political Economy Seminar Series - Speaker: Michelle Baddeley Predicting Psychology from Social Media Data ExoMol project: Molecular line lists for exoplanet and other hot atmospheres