Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Davies, Tilman M."'
Publikováno v:
In Spatial Statistics August 2023 56
Publikováno v:
In Spatial Statistics December 2022 52
Kernel smoothing is a highly flexible and popular approach for estimation of probability density and intensity functions of continuous spatial data. In this role it also forms an integral part of estimation of functionals such as the density-ratio or
Externí odkaz:
http://arxiv.org/abs/1707.06888
Publikováno v:
In Spatial Statistics April 2021 42
Autor:
Redmond, Anna K.1 (AUTHOR), Davies, Tilman M.1 (AUTHOR) tilman.davies@otago.ac.nz, Schofield, Matthew R.1 (AUTHOR), Sheard, Philip W.2 (AUTHOR)
Publikováno v:
Skeletal Muscle. 4/22/2023, Vol. 13 Issue 1, p1-11. 11p.
Autor:
Elson, Richard, Davies, Tilman M., Jenkins, Claire, Vivancos, Roberto, O'Brien, Sarah J., Lake, Iain R.
Publikováno v:
In Spatial and Spatio-temporal Epidemiology February 2020 32
Publikováno v:
The Annals of Applied Statistics, 2019 Sep 01. 13(3), 1329-1347.
Externí odkaz:
https://www.jstor.org/stable/26866687
Autor:
Hazelton, Martin L.1 (AUTHOR) martin.hazelton@otago.ac.nz, Davies, Tilman M.1 (AUTHOR)
Publikováno v:
Scandinavian Journal of Statistics. Dec2022, Vol. 49 Issue 4, p1791-1810. 20p.
This paper introduces an R package for spatio-temporal prediction and forecasting for log-Gaussian Cox processes. The main computational tool for these models is Markov chain Monte Carlo and the new package, lgcp, therefore also provides an extensibl
Externí odkaz:
http://arxiv.org/abs/1110.6054