Tilman M Davies
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Sparr: analyzing spatial relative risk using fixed and adaptive kernel density estimation in R
TM Davies, ML Hazelton, JC Marshall
Journal of Statistical Software 39 (i01), 2011
Adaptive kernel estimation of spatial relative risk
TM Davies, ML Hazelton
Statistics in Medicine 29 (23), 2423-2437, 2010
Inference based on kernel estimates of the relative risk function in geographical epidemiology
ML Hazelton, TM Davies
Biometrical Journal: Journal of Mathematical Methods in Biosciences 51 (1 …, 2009
lgcp: an R package for inference with spatial and spatio-temporal log-Gaussian Cox processes
BM Taylor, TM Davies, BS Rowlingson, PJ Diggle
Journal of Statistical Software 52 (4), 1-40, 2013
Bayesian inference and data augmentation schemes for spatial, spatiotemporal and multivariate log-Gaussian Cox processes in R
B Taylor, T Davies, B Rowlingson, P Diggle
Journal of Statistical Software 63, 1-48, 2015
Tutorial on kernel estimation of continuous spatial and spatiotemporal relative risk
TM Davies, JC Marshall, ML Hazelton
Statistics in medicine 37 (7), 1191-1221, 2018
Foot and mouth disease model verification and'relative validation'through a formal model comparison
RL Sanson, N Harvey, MG Garner, MA Stevenson, TM Davies, ...
Revue Scientifique et Technique-OIE 30 (2), 527, 2011
Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function
TM Davies, K Jones, ML Hazelton
Computational Statistics & Data Analysis 101, 12-28, 2016
Fast computation of spatially adaptive kernel estimates
TM Davies, A Baddeley
Statistics and Computing 28 (4), 937-956, 2018
Risk signals of an influenza pandemic caused by highly pathogenic avian influenza subtype H5N1: spatio-temporal perspectives
Z Zhang, D Chen, Y Chen, TM Davies, JP Vaillancourt, W Liu
The veterinary journal 192 (3), 417-421, 2012
On circulant embedding for Gaussian random fields in R
TM Davies, D Bryant
Journal of Statistical Software 55 (9), 1-21, 2013
Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution
S Rakshit, T Davies, MM Moradi, G McSwiggan, G Nair, J Mateu, ...
International Statistical Review 87 (3), 531-556, 2019
Jointly optimal bandwidth selection for the planar kernel-smoothed density-ratio
TM Davies
Spatial and spatio-temporal epidemiology 5, 51-65, 2013
Jointly optimal bandwidth selection for the planar kernel-smoothed density-ratio
TM Davies
Spatial and spatio-temporal epidemiology 5, 51-65, 2013
Assessing minimum contrast parameter estimation for spatial and spatiotemporal log‐Gaussian Cox processes
TM Davies, ML Hazelton
Statistica Neerlandica 67 (4), 355-389, 2013
CT morphometry of adult thoracic intervertebral discs
JGR Fletcher, MD Stringer, CA Briggs, TM Davies, SJ Woodley
European Spine Journal 24 (10), 2321-2329, 2015
Identification of high-risk regions for schistosomiasis in the Guichi region of China: an adaptive kernel density estimation-based approach
ZJ Zhang, TM Davies, J Gao, Z Wang, QW Jiang
Parasitology 140 (7), 868, 2013
On the utility of asymptotic bandwidth selectors for spatially adaptive kernel density estimation
TM Davies, CR Flynn, ML Hazelton
Statistics & Probability Letters 138, 75-81, 2018
Modelling dichotomously marked muscle fibre configurations
TM Davies, J Cornwall, PW Sheard
Statistics in medicine 32 (24), 4240-4258, 2013
Analysing point patterns on networks—A review
A Baddeley, G Nair, S Rakshit, G McSwiggan, TM Davies
Spatial Statistics, 100435, 2020
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