36 citations · 36 across the 3 of their papers we have counts for
5 papers · 1 filter
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…
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…
The extended power distribution: A new distribution on
Chibueze E. Ogbonnaya, Simon P. Preston, Andrew T. A. Wood
We propose a two-parameter bounded probability distribution called the extended power distribution. This distribution on is similar to the beta distribution, however there…
Improved classification for compositional data using the -transformation
Michail Tsagris, Simon Preston, Andrew T. A. Wood
In compositional data analysis an observation is a vector containing non-negative values, only the relative sizes of which are considered to be of interest. Without loss of general…
A data-based power transformation for compositional data
Michail T. Tsagris, Simon Preston, Andrew T. A. Wood
Compositional data analysis is carried out either by neglecting the compositional constraint and applying standard multivariate data analysis, or by transforming the data using the…