| 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 | 99 | 2011 |
| Adaptive kernel estimation of spatial relative risk TM Davies, ML Hazelton Statistics in Medicine 29 (23), 2423-2437, 2010 | 96 | 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 | 60 | 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 | 46 | 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 | 40 | 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 | 39 | 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 | 37 | 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 | 27 | 2016 |
| Fast computation of spatially adaptive kernel estimates TM Davies, A Baddeley Statistics and Computing 28 (4), 937-956, 2018 | 20 | 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 | 20 | 2012 |
| On circulant embedding for Gaussian random fields in R TM Davies, D Bryant Journal of Statistical Software 55 (9), 1-21, 2013 | 16 | 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 | 15 | 2019 |
| Jointly optimal bandwidth selection for the planar kernel-smoothed density-ratio TM Davies Spatial and spatio-temporal epidemiology 5, 51-65, 2013 | 11 | 2013 |
| Jointly optimal bandwidth selection for the planar kernel-smoothed density-ratio TM Davies Spatial and spatio-temporal epidemiology 5, 51-65, 2013 | 11 | 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 | 10 | 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 | 9 | 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 | 9 | 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 | 8 | 2018 |
| Modelling dichotomously marked muscle fibre configurations TM Davies, J Cornwall, PW Sheard Statistics in medicine 32 (24), 4240-4258, 2013 | 7 | 2013 |
| Analysing point patterns on networks—A review A Baddeley, G Nair, S Rakshit, G McSwiggan, TM Davies Spatial Statistics, 100435, 2020 | 6 | 2020 |
Martin HazeltonUniversity of OtagoVerified email at otago.ac.nz
