Publications

Peer-reviewed articles, most recent first

Preprints & under review

Soil Texture Prediction with Bayesian Generalized Additive Models for Spatial Compositional Data
Joaquín Martínez-Minaya, Lore Zumeta-Olaskoaga, Dae-Jin Lee
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, Vera D. Tomazella

Published

2026
A Random Activation Framework for Cure Models with Waring-Distributed Latent Causes
Jonathan K. J. Vasquez, Vera Tomazella, Danilo Alvares, Pedro Rafael D. Marinho, Joaquín Martínez-Minaya
2024
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
Aritz Adin, Elias Teixeira Krainski, Amanda Lenzi, Zhedong Liu, Joaquín Martínez-Minaya, Haavard Rue
Does greening generate exclusive residential real estate development? Contrasting experiences from North America and Europe
Isabelle Anguelovski, Emilia Oscilowicz, James J.T. Connolly, et al., Joaquín Martínez-Minaya
A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance
Joaquín Martínez-Minaya, Haavard Rue
Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity
Fernando García-García, Dae-Jin Lee, et al., Joaquín Martínez-Minaya, et al., COVID-19 & Air Pollution Working Group
2023
A novel statistical approach to deal with spatial bias in maturity ogive estimation
Marta Cousido-Rocha, Francisco Izquierdo, Joaquín Martínez-Minaya, et al.
Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia
O. Bronte, F. García-García, D.-J. Lee, et al., Joaquín Martínez-Minaya, et al., COVID-19 & Air Pollution Working Group
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
Miren Hayet-Otero, Fernando García-García, Dae-Jin Lee, Joaquín Martínez-Minaya, et al.
The Integrated Nested Laplace Approximation for Fitting Dirichlet Regression Models
Joaquín Martínez-Minaya, Finn Lindgren, Antonio López-Quílez, Daniel Simpson, David Conesa
Modelling seabirds biodiversity through Bayesian Spatial Beta regression models: A proxy to inform marine protected areas in the Mediterranean Sea
Blanca Sarzo, Joaquín Martínez-Minaya, Maria Grazia Pennino, David Conesa, Marta Coll
2022
Exploring green gentrification in 28 global North cities: the role of urban parks and other types of greenspaces
Margarita Triguero-Mas, Isabelle Anguelovski, et al., Joaquín Martínez-Minaya, et al.
A mesoscale analysis of relations between fish species richness and environmental and anthropogenic pressures in the Mediterranean Sea
João Carmezim, Maria Grazia Pennino, Joaquín Martínez-Minaya, David Conesa, Marta Coll
Green gentrification in European and North American cities
Isabelle Anguelovski, James J. T. Connolly, et al., Joaquín Martínez-Minaya
2021
Modeling Inoculum Availability of Plurivorosphaerella nawae in Persimmon Leaf Litter with Bayesian Beta Regression
Joaquín Martínez-Minaya, David Conesa, Antonio López-Quílez, José Luis Mira, Antonio Vicent
2020
Incorporating Biotic Information in Species Distribution Models: A Coregionalized Approach
Xavier Barber, David Conesa, Antonio López-Quílez, Joaquín Martínez-Minaya, Maria Grazia Pennino
Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy)
Martina Cendoya, Joaquín Martínez-Minaya, Vicente Dalmau, Amparo Ferrer, Maria Saponari, David Conesa, Antonio López-Quílez, Antonio Vicent
A decision support system based on degree-days to initiate fungicide spray programs for peach powdery mildew in Catalonia, Spain
Neus Marimon, Iban Eduardo, Joaquín Martínez-Minaya, Antonio Vicent, Jordi Luque
Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana
Antonio R. Castilla, Belén Méndez Vigo, Arnald Marcer, Joaquín Martínez-Minaya, David Conesa, F. Xavier Picó, Carlos Alonso-Blanco
Comparison of Frequentist and Bayesian Meta-Analysis Models for Assessing the Efficacy of Decision Support Systems in Reducing Fungal Disease Incidence
Elena Lázaro, David Makowski, Joaquín Martínez-Minaya, Antonio Vicent
2019
Dealing with physical barriers in bottlenose dolphin (Tursiops truncatus) distribution
Joaquín Martínez-Minaya, David Conesa, Haakon Bakka, Maria Grazia Pennino
A hierarchical Bayesian Beta regression approach to study the effects of geographical genetic structure and spatial autocorrelation on species distribution range shifts
Joaquín Martínez-Minaya, David Conesa, Marie-Josée Fortin, Carlos Alonso-Blanco, F. Xavier Picó, Arnald Marcer
2018
Species distribution modeling: a statistical review with focus in spatio-temporal issues
Joaquín Martínez-Minaya, Michela Cameletti, David Conesa, Maria Grazia Pennino
Spatial and climatic factors associated with the geographical distribution of citrus black spot disease in South Africa. A Bayesian latent Gaussian model approach
Joaquín Martínez-Minaya, David Conesa, Antonio López-Quílez, Antonio Vicent
2017
Un sistema predictivo para el control de la mancha foliar del caqui causada por Mycosphaerella nawae
Joaquín Martínez-Minaya, Antonio López-Quílez, David Conesa, José Luis Mira, Antonio Vicent
Response to the letter on ‘Climatic distribution of citrus black spot caused by Phyllosticta citricarpa. A historical analysis of disease spread in South Africa’ by Fourie et al. (2017)
Joaquín Martínez-Minaya, David Conesa, Antonio López-Quílez, Antonio Vicent
2015
Factores climáticos asociados con la mancha negra de los cítricos causada por Phyllosticta citricarpa en Sudáfrica
Joaquín Martínez-Minaya, Antonio Vicent, David Conesa, Antonio López-Quílez
Climatic distribution of citrus black spot caused by Phyllosticta citricarpa. A historical analysis of disease spread in South Africa
Joaquín Martínez-Minaya, David Conesa, Antonio López-Quílez, Antonio Vicent