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pro vyhledávání: '"Bradley, Jonathan R."'
Autor:
Bradley, Jonathan R.
The spatial linear mixed model (SLMM) consists of fixed and spatial random effects that can be confounded. Restricted spatial regression (RSR) models restrict the spatial random effects to be in the orthogonal column space of the covariates, which "d
Externí odkaz:
http://arxiv.org/abs/2408.05106
Analysing non-Gaussian spatial-temporal data typically requires introducing spatial dependence in generalised linear models through the link function of an exponential family distribution. However, unlike in Gaussian likelihoods, inference is conside
Externí odkaz:
http://arxiv.org/abs/2406.04655
The modifiable areal unit problem in geography or the change-of-support (COS) problem in statistics demonstrates that the interpretation of spatial (or spatio-temporal) data analysis is affected by the choice of resolutions or geographical units used
Externí odkaz:
http://arxiv.org/abs/2312.12287
Autor:
Zhou, Shijie, Bradley, Jonathan R.
In public health applications, spatial data collected are often recorded at different spatial scales and over different correlated variables. Spatial change of support is a key inferential problem in these applications and have become standard in uni
Externí odkaz:
http://arxiv.org/abs/2310.13580
Autor:
Saha, Sudipto, Bradley, Jonathan R.
Additive spatial statistical models with weakly stationary process assumptions have become standard in spatial statistics. However, one disadvantage of such models is the computation time, which rapidly increases with the number of data points. The g
Externí odkaz:
http://arxiv.org/abs/2305.13221
We introduce Bayesian hierarchical models for predicting high-dimensional tabular survey data which can be distributed from one or multiple classes of distributions (e.g., Gaussian, Poisson, Binomial, etc.). We adopt a Bayesian implementation of a Hi
Externí odkaz:
http://arxiv.org/abs/2211.09797
Autor:
Bradley, Jonathan R., Clinch, Madelyn
Markov chain Monte Carlo (MCMC) allows one to generate dependent replicates from a posterior distribution for effectively any Bayesian hierarchical model. However, MCMC can produce a significant computational burden. This motivates us to consider fin
Externí odkaz:
http://arxiv.org/abs/2203.10028
Autor:
Zhou, Shijie, Bradley, Jonathan R.
Publikováno v:
In Spatial and Spatio-temporal Epidemiology August 2024 50
Autor:
Zong, Qingying, Bradley, Jonathan R.
Consider the setting where there are B>1 candidate statistical models, and one is interested in model selection. Two common approaches to solve this problem are to select a single model or to combine the candidate models through model averaging. Inst
Externí odkaz:
http://arxiv.org/abs/2104.10222
Autor:
Bradley, Jonathan R.
Social distancing can be described as an effort to maintain a physical distance between individuals and has become a necessary public health measure to combat cornoavirus disease 2019 (COVID-19). Social distancing is known to weaken incidences and de
Externí odkaz:
http://arxiv.org/abs/2002.09983