4 papers
Distributed and recursive Bayesian inference for Big Data and complex spatio-temporal models
Mario Figueira, David Conesa, Antonio López-QuÃlez +1
The rapid growth of massive and complex datasets in fields such as econometrics, environmental sciences, risk management, and public policy has reshaped statistical modeling while…
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…
A computationally efficient procedure for combining ecological datasets by means of sequential consensus inference
Mario Figueira, David Conesa, Antonio López-QuÃlez +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…
Bayesian feedback in the framework of ecological sciences
Mario Figueira-Pereira, Xavier Barber, David Conesa +4
In ecology we may find scenarios where the same phenomenon (species occurrence, species abundance, etc.) is observed using two different types of samplers. For instance, species da…