13 citations · 20 across the 5 of their papers we have counts for
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stat.ME2025★ 1 cited
Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration
Sarah A. Vollert, Christopher Drovandi, Cailan Jeynes-Smith +2
Mathematical models connect theory with the real world through data, enabling us to interpret, understand, and predict complex phenomena. However, scientific knowledge often extend…
stat.ME2022★ 13 cited
Efficient inference and identifiability analysis for differential equation models with random parameters
Alexander P. Browning, Christopher Drovandi, Ian W. Turner +2
Heterogeneity is a dominant factor in the behaviour of many biological processes. Despite this, it is common for mathematical and statistical analyses to ignore biological heteroge…