3 citations · 3 across the 2 of their papers we have counts for
2 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.AP2023★ 3 cited
A Bayesian Markov-switching SAR model for time-varying cross-price spillovers
Christian Glocker, Matteo Iacopini, Tamás Krisztin +1
The spatial autoregressive (SAR) model is extended by introducing a Markov switching dynamics for the weight matrix and spatial autoregressive parameter. The framework enables the…