An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
Summary Continuously indexed Gaussian fields (GFs) are the most important ingredient in
spatial statistical modelling and geostatistics. The specification through the covariance …
spatial statistical modelling and geostatistics. The specification through the covariance …
A research agenda for helminth diseases of humans: diagnostics for control and elimination programmes
JS McCarthy, S Lustigman, GJ Yang… - PLoS neglected …, 2012 - journals.plos.org
Diagnostic tools appropriate for undertaking interventions to control helminth infections are
key to their success. Many diagnostic tests for helminth infection have unsatisfactory …
key to their success. Many diagnostic tests for helminth infection have unsatisfactory …
Hierarchical nearest-neighbor Gaussian process models for large geostatistical datasets
Spatial process models for analyzing geostatistical data entail computations that become
prohibitive as the number of spatial locations become large. This article develops a class of …
prohibitive as the number of spatial locations become large. This article develops a class of …
The Geographic Distribution of Loa loa in Africa: Results of Large-Scale Implementation of the Rapid Assessment Procedure for Loiasis (RAPLOA)
HGM Zouré, S Wanji, M Noma… - PLoS neglected …, 2011 - journals.plos.org
Background Loiasis is a major obstacle to ivermectin treatment for onchocerciasis control
and lymphatic filariasis elimination in central Africa. In communities with a high level of …
and lymphatic filariasis elimination in central Africa. In communities with a high level of …
Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework
Global and national surveillance of SARS-CoV-2 epidemiology is mostly based on targeted
schemes focused on testing individuals with symptoms. These tested groups are often …
schemes focused on testing individuals with symptoms. These tested groups are often …
Mapping the risk of snakebite in Sri Lanka-a national survey with geospatial analysis
DS Ediriweera, A Kasturiratne… - PLoS neglected …, 2016 - journals.plos.org
Background There is a paucity of robust epidemiological data on snakebite, and data
available from hospitals and localized or time-limited surveys have major limitations. No …
available from hospitals and localized or time-limited surveys have major limitations. No …
[HTML][HTML] Semiparametric regression during 2003–2007
Semiparametric regression is a fusion between parametric regression and nonparametric
regression that integrates low-rank penalized splines, mixed model and hierarchical …
regression that integrates low-rank penalized splines, mixed model and hierarchical …
[HTML][HTML] Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis
Particulate matter (PM) is a class of malicious environmental pollutants known to be
detrimental to human health. Regulatory efforts aimed at curbing PM levels in different …
detrimental to human health. Regulatory efforts aimed at curbing PM levels in different …
Respiratory diseases are positively associated with PM2.5 concentrations in different areas of Taiwan
The health effects associated with fine particulate matter (PM2. 5) have attracted
considerable public attention in recent decades. It has been verified that PM2. 5 can …
considerable public attention in recent decades. It has been verified that PM2. 5 can …
On nearest‐neighbor Gaussian process models for massive spatial data
Gaussian Process (GP) models provide a very flexible nonparametric approach to modeling
location‐and‐time indexed datasets. However, the storage and computational requirements …
location‐and‐time indexed datasets. However, the storage and computational requirements …