13 citations · 20 across the 5 of their papers we have counts for
5 papers
Efficient sampling from a multivariate normal distribution subject to linear equality and inequality constraints
Matthew P. Adams, Gloria M. Monsalve-Bravo, Lucy G. Dowdell +2
Sampling from multivariate normal distributions, subjected to a variety of restrictions, is a problem that is recurrent in statistics and computing. In the present work, we demonst…
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…
Ecosystem knowledge should replace coexistence and stability assumptions in ecological network modelling
Sarah A. Vollert, Christopher Drovandi, Matthew P. Adams
Quantitative population modelling is an invaluable tool for identifying the cascading effects of ecosystem management and interventions. Ecosystem models are often constructed by a…
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…
Vector operations for accelerating expensive Bayesian computations -- a tutorial guide
David J. Warne, Scott A. Sisson, Christopher Drovandi
Many applications in Bayesian statistics are extremely computationally intensive. However, they are often inherently parallel, making them prime targets for modern massively parall…