3 papers
stat.ME2024
Unveiling land use dynamics: Insights from a hierarchical Bayesian spatio-temporal modelling of Compositional Data
Mario Figueira, Carmen Guarner, David Conesa +2
Changes in land use patterns have significant environmental and socioeconomic impacts, making it crucial for policymakers to understand their causes and consequences. This study, p…
stat.ME2024
A computationally efficient procedure for combining ecological datasets by means of sequential consensus inference
Mario Figueira, David Conesa, Antonio López-Quílez +1
Combining data has become an indispensable tool for managing the current diversity and abundance of data. But, as data complexity and data volume swell, the computational demands o…
stat.AP2023
How to perform modeling with independent and preferential data jointly?
Mario Figueira, David Conesa, Antonio López-Quílez +1
Continuous space species distribution models (SDMs) have a long-standing history as a valuable tool in ecological statistical analysis. Geostatistical and preferential models are b…