10 citations · 10 across the 4 of their papers we have counts for
4 papers
Soil Texture Prediction with Bayesian Generalized Additive Models for Spatial Compositional Data
Joaquín Martínez-Minaya, Lore Zumeta-Olaskoaga, Dae-Jin Lee
Compositional data (CoDa) play an important role in many fields such as ecology, geology, and biology. The most widely used modeling approaches are based on the Dirichlet and the l…
A Bayesian survival model induced by hurdle zero-modified power series discrete frailty with dispersion: an application in lung cancer
Katy C. Molina, Joaquín Martínez-Minaya, Danilo Alvares +1
Frailty survival models are widely used to capture unobserved heterogeneity among individuals in clinical and epidemiological research. This paper introduces a Bayesian survival mo…
A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance
Joaquín Martínez-Minaya, Haavard Rue
Compositional Data Analysis (CoDa) has gained popularity in recent years. This type of data consists of values from disjoint categories that sum up to a constant. Both Dirichlet re…
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…