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08/22/2023
A one-step spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
Ecological spatial areal models encounter the well-known and challenging...
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03/29/2023
A scalable approach for short-term disease forecasting in high spatial resolution areal data
Short-term disease forecasting at specific discrete spatial resolutions ...
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10/26/2022
High-dimensional order-free multivariate spatial disease mapping
Despite the amount of research on disease mapping in recent years, the u...
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10/13/2022
Evaluating recent methods to overcome spatial confounding
The concept of spatial confounding is closely connected to spatial regre...
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01/20/2022
Parallel and distributed Bayesian modelling for analysing high-dimensional spatio-temporal count data
This paper proposes a general procedure to analyse high-dimensional spat...
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07/15/2020
Scalable Bayesian modeling for smoothing disease risks in large spatial data sets
Several methods have been proposed in the spatial statistics literature ...
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03/04/2020
Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India
Assessing associations between a response of interest and a set of covar...
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03/04/2020
Alleviating confounding in spatio-temporal areal models: different proposals, different results
Assessing associations between a response of interest and a set of covar...
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02/05/2020
