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National Institute for Applied Statistics Research Australia Seminar Series
July 5 @ 2:30 pm - 3:30 pm
Dr Brenda Vo
Lecturer in Statistics
University of New England
Statistical inference for agent based models in cell biology
Agent-based models are increasingly used to capture the real-world phenomena for many important systems in biology, ecology and medical sciences. These models have several advantages: first, they are able to incorporate important characteristics such as heterogeneity and stochasticity; second, they produce image-based and movie-based information which is ideally suited to collaborative investigations involving statisticians and applied scientists. However, the likelihoods, the functions that describe the probability of the observed data given parameter values, for these models are not analytically or computationally tractable. This makes statistical inference for these models challenging. To overcome these limitations, several Bayesian “likelihood-free” techniques have emerged. In this talk, I will discuss about the principles as well as advantages and disadvantages of these methods.