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20052026
most citedNon-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging

402 citations · 543 across the 18 of their papers we have counts for

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5 papers · 1 filter

stat.AP2022

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…

stat.AP2020★ 6 cited

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…

stat.AP2015★ 1 cited

Mixed Effect Modelling of Single Trial Variability in Ultra-High Field fMRI

Christopher J. Brignell, William J. Browne, Ian L. Dryden +1

Neuronal brain activity in response to repeated stimuli can be perceived using functional magnetic resonance imaging (fMRI). In this paper, we develop a statistical model for fMRI…

stat.AP2012★ 12 cited

Bayesian matching of unlabeled marked point sets using random fields, with an application to molecular alignment

Irina Czogiel, Ian L. Dryden, Christopher J. Brignell

Statistical methodology is proposed for comparing unlabeled marked point sets, with an application to aligning steroid molecules in chemoinformatics. Methods from statistical shape…

stat.AP2009★ 402 cited

Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging

Ian L. Dryden, Alexey Koloydenko, Diwei Zhou

The statistical analysis of covariance matrix data is considered and, in particular, methodology is discussed which takes into account the non-Euclidean nature of the space of posi…