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Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
Standard techniques such as leave-one-out cross-validation (LOOCV) might not be suitable for evaluating the predictive performance of …
Aritz Adin, Elias Teixeira Krainski, Amanda Lenzi, Zhedong Liu, Joaquín Martínez-Minaya, Haavard Rue
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Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
Does greening generate exclusive residential real estate development? Contrasting experiences from North America and Europe
With the branding of a city as green increasingly serving to amplify attractiveness andinvestment while also contributing to patterns …
Isabelle Anguelovski, Emilia Oscilowicz, James J.T. Connolly, Melissa Garcia-Lamarca, Carmen Pérez del Pulgar, Helen V.S. Cole, Dan Immergluck, Margarita Triguero-Mas, Francesc Baró, Nicholas Martin, David Conesa, Galia Shokry, Lucia Argüelles Ramos, Austin Matheney, Elsa Gallez, Jesús López Mañez, Blanca Sarzo, Miguel Angel Beltrán, Joaquín Martínez-Minaya
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Does greening generate exclusive residential real estate development? Contrasting experiences from North America and Europe
A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance
Compositional Data Analysis (CoDa) has gained popularity in recent years. This type of data consists of values from disjoint categories …
Joaquín Martínez-Minaya, Haavard Rue
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A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance
A novel statistical approach to deal with spatial bias in maturity ogive estimation
The proportion of mature fish at length is one of the most important population attributes when evaluating reproductive potential for …
Marta Cousido-Rocha, Francisco Izquierdo, Joaquín Martínez-Minaya, M. Grazia Pennino, Hugo Mendes, Cristina Silva, Andreia V. Silva, María Saínza, Santiago Cerviño
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A novel statistical approach to deal with spatial bias in maturity ogive estimation
Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity
Objective: To study the suitability of cost-sensitive ordinal artificial intelligence-machine learning (AI-ML) strategies in the …
Fernando García-García, Dae-Jin Lee, Pedro Pablo España Yandiola, Isabel Urrutia Landa, Joaquín Martínez-Minaya, Miren Hayet-Otero, Mónica Nieves Ermecheo, José María Quintana, Rosario Menéndez, Antoni Torres, Rafael Zalacain Jorge, COVID-19 & Air Pollution Working Group
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Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity
Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia
This study examines the relationship between outdoor air pollution exposure and the severity and mortality of COVID-19 pneumonia. The …
O. Bronte, F. García-García, D.-J. Lee, I. Urrutia, A. Uranga, M. Nieves, Joaquín Martínez-Minaya, J.M. Quintana, I. Arostegui, R. Zalacain, L.A. Ruiz-Iturriaga, L. Serrano, R. Menéndez, R. Méndez, A. Torres, C. Cilloniz, P.P. España, COVID-19 & Air Pollution Working Group
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Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken …
Miren Hayet-Otero, Fernando García-García, Dae-Jin Lee, Joaquín Martínez-Minaya, Pedro Pablo España Yandiola, Isabel Urrutia Landa, Mónica Nieves Ermecheo, José María Quintana, Rosario Menéndez, Antoni Torres, Rafael Zalacain Jorge, Inmaculada Arostegui, COVID-19 & Air Pollution Working Group
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Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
The Integrated Nested Laplace Approximation for Fitting Dirichlet Regression Models
This article introduces a Laplace approximation to Bayesian inference in Dirichlet regression models, which can be used to analyze a …
Joaquín Martínez-Minaya, Finn Lindgren, Antonio López-Quílez, Daniel Simpson, David Conesa
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The Integrated Nested Laplace Approximation for Fitting Dirichlet Regression Models
Modelling seabirds biodiversity through Bayesian Spatial Beta regression models: A proxy to inform marine protected areas in the Mediterranean Sea
Seabirds are bioindicators of marine ecosystems health and one of the world’s most endangered avian groups. The creation of marine …
Blanca Sarzo, Joaquín Martínez-Minaya, Maria Grazia Pennino, David Conesa, Marta Coll
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Modelling seabirds biodiversity through Bayesian Spatial Beta regression models: A proxy to inform marine protected areas in the Mediterranean Sea
Exploring green gentrification in 28 global North cities: the role of urban parks and other types of greenspaces
Although cities globally are increasingly mobilizing re-naturing projects to address diverse urban socio-environmental and health …
Margarita Triguero-Mas, Isabelle Anguelovski, James J T Connolly, Nick Martin, Austin Matheney, Helen V S Cole, Carmen Pérez del Pulgar, Melissa Garcia-Lamarca, Galia Shokry, Lucía Argüelles, David Conesa, Elsa Gallez, Blanca Sarzo, Miguel Angel Beltrán, Jesúa López Máñez, Joaquín Martínez-Minaya, Emilia Oscilowicz, Mariana C Arcaya, Francesc Baró
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Exploring green gentrification in 28 global North cities: the role of urban parks and other types of greenspaces