Tilman M Davies
Title
Cited by
Cited by
Year
Adaptive kernel estimation of spatial relative risk
TM Davies, ML Hazelton
Statistics in Medicine 29 (23), 2423-2437, 2010
1072010
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 (1), 1-14, 2011
1062011
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
672009
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
532018
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 (1), 1-40, 2013
502013
Bayesian inference and data augmentation schemes for spatial, spatiotemporal and multivariate log-Gaussian Cox processes in R
BM Taylor, TM Davies, BS Rowlingson, PJ Diggle
Journal of Statistical Software 63 (1), 1-48, 2015
462015
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
372011
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
322016
Fast computation of spatially adaptive kernel estimates
TM Davies, A Baddeley
Statistics and Computing 28 (4), 937-956, 2018
252018
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
232019
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
212012
Analysing point patterns on networks—A review
A Baddeley, G Nair, S Rakshit, G McSwiggan, TM Davies
Spatial Statistics 42, 100435, 2021
192021
On circulant embedding for Gaussian random fields in R
TM Davies, D Bryant
Journal of Statistical Software 55 (1), 1-21, 2013
172013
Jointly optimal bandwidth selection for the planar kernel-smoothed density-ratio
TM Davies
Spatial and spatio-temporal epidemiology 5, 51-65, 2013
132013
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
112015
Assessing minimum contrast parameter estimation for spatial and spatiotemporal log‐Gaussian Cox processes
TM Davies, ML Hazelton
Statistica Neerlandica 67 (4), 355-389, 2013
112013
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), 868-875, 2013
102013
An evaluation of likelihood-based bandwidth selectors for spatial and spatiotemporal kernel estimates
TM Davies, AB Lawson
Journal of Statistical Computation and Simulation 89 (7), 1131-1152, 2019
92019
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
92018
Spatial and social variables in the Bronze Age phase 4 cemetery of Ban Non Wat, Northeast Thailand
BA Smith, TM Davies, CFW Higham
Journal of Archaeological Science: Reports 4, 362-370, 2015
92015
The system can't perform the operation now. Try again later.
Articles 1–20