Jack Storror Carter

I am a postdotoral researcher in the Dipartimento di Matematica at the Università di Genova working with Prof. Eva Riccomagno.

My main research interests are in statistical methodology and Bayesian statistics with a focus on graphical models. In my current position I am working on the development of methodology for staged tree models. During my PhD under the supervision of Prof. Jim Smith at the University of Warwick my research focussed on penalised likelihood methods and prior distributions for sparse Gaussian precision matrix estimation and Gaussian graphical model selection. My main contribution in this time was a new penalised likelihood method - the partial correlation graphical LASSO - which provides scale invariant estimation of the precision matrix.

Software

A (currently untested) R package for calculation of the partial correlation graphical LASSO is now available via github. The repository is available here and can be installed in R using

devtools::install_github('JackStorrorCarter/PCGLASSO')

Publications

Published papers

• Carter JS, Rossell D, Smith JQ (2024). Partial correlation graphical LASSO. Scandinavian Journal of Statistics, 51(1), 32–63. Open access version

Preprints

• Carter JS, Leonelli M, Riccomagno E, Ugolini A (2024). Staged trees for discrete longitudinal data. arXiv preprint

• Carter JS (2023). A note on incorrect inferences in non-binary qualitative probabilistic networks. arXiv preprint

Thesis

• PhD thesis (2021). Partial correlation based penalty functions and prior distributions for Gaussian graphical models. University of Warwick. Available online