3 citations · 3 across the 6 of their papers we have counts for
10 papers
A Bayesian multivariate spatial approach for illness-death survival models
Fran Llopis-Cardona, Carmen Armero, Gabriel Sanfélix-Gimeno
Illness-death models are a class of stochastic models inside the multi-state framework. In those models, individuals are allowed to move over time between different states related…
Bayes factors for longitudinal model assessment via power posteriors
Gabriel Calvo, Carmen Armero, Luigi Spezia +1
Bayes factor, defined as the ratio of the marginal likelihood functions of two competing models, is the natural Bayesian procedure for model selection. Marginal likelihoods are usu…
Reflection on modern methods: competing risks versus multi-state models
Fran Llopis-Cardona, Carmen Armero, Gabriel Sanfélix-Gimeno
Survival competing risks models are very useful for studying the incidence of diseases whose occurrence competes with other possible diseases or health conditions. These models per…
Bayesian analysis of population health data
Dorota Młynarczyk, Carmen Armero, Virgilio Gómez-Rubio +1
The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis…
Bayesian classification for dating archaeological sites via projectile points
Carmen Armero, Gonzalo García-Donato, Joaquín Jiménez-Puerto +2
Dating is a key element for archaeologists. We propose a Bayesian approach to provide chronology to sites that have neither radiocarbon dating nor clear stratigraphy and whose only…
Bayesian shared-parameter models for analysing sardine fishing in the Mediterranean Sea
Gabriel Calvo, Carmen Armero, Maria Grazia Pennino +1
European sardine is experiencing an overfishing around the world. The dynamics of the industrial and artisanal fishing in the Mediterranean Sea from 1970 to 2014 by country was ass…