4 papers
Distributed and recursive Bayesian inference for Big Data and complex spatio-temporal models
Mario Figueira, David Conesa, Antonio López-Quílez +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…
Integrating Expert Knowledge and Recursive Bayesian Inference: A Framework for Spatial and Spatio-Temporal Data Challenges
Mario Figueira, David Conesa, Antonio López-Quílez +1
Integrating heterogeneous data sources and expert knowledge is essential for overcoming data scarcity and enhancing estimation accuracy. Two main frameworks naturally arise to perf…
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-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…