All Outputs (30)

Covariance analysis for temporal data, with applications to DNA modelling (2017)
Journal Article

We introduce methodology for analysing the mean size-and-shape and covariance matrix of landmark data that are collected over time. Motivated by a study of DNA damage, we study some permutation based tests for investigating significant differences in... Read More about Covariance analysis for temporal data, with applications to DNA modelling.

Participatory modelling for stakeholder involvement in the development of flood risk management intervention options (2016)
Journal Article

Advancing stakeholder participation beyond consultation offers a range of benefits for local flood risk management, particularly as responsibilities are increasingly devolved to local levels. This paper details the design and implementation of a par... Read More about Participatory modelling for stakeholder involvement in the development of flood risk management intervention options.

Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics (2015)
Journal Article

Practical statistical analysis of diffusion tensor images is considered, and we focus primarily on methods that use metrics based on Euclidean distances between powers of diffusion tensors. First we describe a family of anisotropy measures based on a... Read More about Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics.

Long-term amorphous drug stability predictions using easily calculated, predicted, and measured parameters (2015)
Journal Article

Bayesian registration of functions and curves (2015)
Journal Article

Bayesian analysis of functions and curves is considered, where warping and other geometrical transformations are often required for meaningful comparisons. The functions and curves of interest are represented using the recently introduced square root... Read More about Bayesian registration of functions and curves.

Size and shape analysis of error-prone shape data (2014)
Journal Article

We consider the problem of comparing sizes and shapes of objects when landmark data are prone to measurement error. We show that naive implementation of ordinary Procrustes analysis that ignores measurement error can compromise inference. To account... Read More about Size and shape analysis of error-prone shape data.

Distances and inference for covariance operators (2014)
Journal Article

A framework is developed for inference concerning the covariance operator of a functional random process, where the covariance operator itself is an object of interest for statistical analysis. Distances for comparing positive-definite covariance mat... Read More about Distances and inference for covariance operators.

Rank-based model selection for multiple ions quantum tomography (2012)
Journal Article

The statistical analysis of measurement data has become a key component of many quantum engineering experiments. As standard full state tomography becomes unfeasible for large dimensional quantum systems, one needs to exploit prior information and th... Read More about Rank-based model selection for multiple ions quantum tomography.

A Bayesian elicitation of veterinary beliefs regarding systemic dry cow therapy: variation and importance for clinical trial design (2012)
Journal Article

The two key aims of this research were: (i) to conduct a probabilistic elicitation to quantify the variation in veterinarians’ beliefs regarding the efficacy of systemic antibiotics when used as an adjunct to intra-mammary dry cow therapy and (ii) to... Read More about A Bayesian elicitation of veterinary beliefs regarding systemic dry cow therapy: variation and importance for clinical trial design.

Bayesian alignment of continuous molecular shapes using random fields (2008)
Journal Article

Statistical methodology is proposed for comparing molecular shapes. In order to account for the continuous nature of molecules, classical shape analysis methods are combined with techniques used for predicting random fields in spatial statistics. Ap... Read More about Bayesian alignment of continuous molecular shapes using random fields.