directional-statistics

Non-stationary wrapped Gaussian spatial response model

Isa Marques, Thomas Kneib and Nadja Klein / 2023-11-22

Circular data, i.e., data defined on the unit circle, can be found in many areas of science. The unique nature of these data means that conventional methods for non-circular data are not valid for these. At the same time, advances in geographical information and global positioning systems have…

graphical-models

Illustration of Graphical Gaussian Process models to analyze highly multivariate spatial data

Debangan Dey, Abhirup Datta, Sudipto Banerjee / 2023-07-07

Abundant multivariate spatial data from the natural and environmental sciences demands research on the joint distribution of multiple spatially dependent variables (Wackernagel (2013), Cressie and Wikle (2011), Banerjee and Gelfand (2014)). Here, our goal is to estimate associations over spatial…

high-dimensional-data

Procrustes Analysis for High-Dimensional Data

Angela Andreella and Livio Finos / 2023-03-02

The Procrustes problem aims to match matrices using similarity transformations (i.e., rotation, reflection, translation, and scaling transformations) to minimize their Frobenius distance. It allows the comparison of matrices with dimensions defined in an arbitrary coordinate system. This method…

statistics

A Tale of Two Parasites...one statistician's career journey

Peter J. Diggle, Emanuele Giorgi, Julienne Atsame, Sylvie Ntsame Ella, Kisito Ogoussan, and Katherine Gass / 2020-10-05

Vector-borne diseases have long presented major challenges to the health of rural communities in the wet tropical regions of the world, but especially in sub-Saharan Africa. In this paper, we describe the contribution that statistical modelling has made to the global elimination programme for one…