23 citations · 25 across the 4 of their papers we have counts for
5 papers
Exploring natural variation in tendon constitutive parameters via Bayesian data selection and mixed effects models
James Casey, Jessica Forsyth, Timothy Waite +2
Combining microstructural mechanical models with experimental data enhances our understanding of the mechanics of soft tissue, such as tendons. In previous work, a Bayesian framewo…
Efficient forecasting and uncertainty quantification for large scale account level Monte Carlo models of debt recovery
Sam Baynes, Simon Cotter, Paul Russell +2
We consider the problem of forecasting debt recovery from large portfolios of non-performing unsecured consumer loans under management. The state of the art in industry is to use s…
Bayesian design of experiments for generalised linear models and dimensional analysis with industrial and scientific application
David C. Woods, Antony M. Overstall, Maria Adamou +1
The design of an experiment can be always be considered at least implicitly Bayesian, with prior knowledge used informally to aid decisions such as the variables to be studied and…
Singular prior distributions and ill-conditioning in Bayesian D-optimal design for several nonlinear models
Timothy W. Waite
For Bayesian D-optimal design, we define a singular prior distribution for the model parameters as a prior distribution such that the determinant of the Fisher information matrix h…
Designs for generalized linear models with random block effects via information matrix approximations
Timothy W. Waite, David C. Woods
The selection of optimal designs for generalized linear mixed models is complicated by the fact that the Fisher information matrix, on which most optimality criteria depend, is com…