Most of the members of this group are from the Statistics Section and Biomaths research group of the Department of Mathematics. Below you can find a list of research areas that members of this group are currently working on and/or would like to work on by applying their developed mathematical and statistical methods.

Research areas

Research areas


Publications

Citation

BibTex format

@article{Battey:2018:10.1098/rspa.2017.0631,
author = {Battey, HS and Cox, DR},
doi = {10.1098/rspa.2017.0631},
journal = {Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences},
title = {Large numbers of explanatory variables: a probabilistic assessment},
url = {http://dx.doi.org/10.1098/rspa.2017.0631},
volume = {474},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Recently, Cox and Battey (2017 Proc. Natl Acad. Sci. USA 114, 8592–8595 (doi:10.1073/pnas.1703764114)) outlined a procedure for regression analysis when there are a small number of study individuals and a large number of potential explanatory variables, but relatively few of the latter have a real effect. The present paper reports more formal statistical properties. The results are intended primarily to guide the choice of key tuning parameters.
AU - Battey,HS
AU - Cox,DR
DO - 10.1098/rspa.2017.0631
PY - 2018///
SN - 1364-5021
TI - Large numbers of explanatory variables: a probabilistic assessment
T2 - Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
UR - http://dx.doi.org/10.1098/rspa.2017.0631
UR - http://hdl.handle.net/10044/1/60959
VL - 474
ER -