402 citations · 543 across the 18 of their papers we have counts for
19 papers
Principal Nested Cones
Yanyan Zhan, Ian L. Dryden, Yuexuan Wu
In many applications, the data lie on a type of cone, where there is a distinction between an overall scale variable and the remaining scale-free structure. For example, the joint…
Object oriented data analysis of surface motion time series in peatland landscapes
Emily G. Mitchell, Ian L. Dryden, Christopher J. Fallaize +4
Peatlands account for 10% of UK land area, 80% of which are degraded to some degree, emitting carbon at a similar magnitude to oil refineries or landfill sites. A lack of tools for…
The Bayesian Spatial Bradley--Terry Model: Urban Deprivation Modeling in Tanzania
R. G. Seymour, D. Sirl, S. Preston +4
Identifying the most deprived regions of any country or city is key if policy makers are to design successful interventions. However, locating areas with the greatest need is often…
Non-parametric regression for networks
Katie E. Severn, Ian L. Dryden, Simon P. Preston
Network data are becoming increasingly available, and so there is a need to develop suitable methodology for statistical analysis. Networks can be represented as graph Laplacian ma…
Principal nested shape space analysis of molecular dynamics data
Ian L. Dryden, Kwang-Rae Kim, Charles A. Laughton +1
Molecular dynamics simulations produce huge datasets of temporal sequences of molecules. It is of interest to summarize the shape evolution of the molecules in a succinct, low-dime…
Manifold valued data analysis of samples of networks, with applications in corpus linguistics
Katie E. Severn, Ian L. Dryden, Simon P. Preston
Networks arise in many applications, such as in the analysis of text documents, social interactions and brain activity. We develop a general framework for extrinsic statistical ana…