Listar INAMAT2 - Institute for Advanced Materials and Mathematics por autor UPNA "Ugarte Martínez, María Dolores"
Mostrando ítems 1-20 de 39
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Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India
Adin Urtasun, Aritz
; Goicoa Mangado, Tomás ; Hodges, James S.; Schnell, Patrick M.; Ugarte Martínez, María Dolores (SAGE Publications, 2021)
Artículo / Artikulua 
Assessing associations between a response of interest and a set of covariates in spatial areal models is the leitmotiv of ecological regression. However, the presence of spatially correlated random effects can mask or even ... -
Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas
Vicente Fuenzalida, Gonzalo; Goicoa Mangado, Tomás ; Ugarte Martínez, María Dolores (Springer, 2020)
Artículo / Artikulua
Multivariate models for spatial count data are currently receiving attention in disease mapping to model two or more diseases jointly. They have been thoroughly studied from a theoretical point of view, but their use in ... -
Bayesian modeling approach in Big Data contexts: an application in spatial epidemiology
Orozco Acosta, Erick ; Adin Urtasun, Aritz ; Ugarte Martínez, María Dolores (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
In this work we propose a novel scalable Bayesian modeling approach to smooth mortality risks borrowing information from neighbouring regions in high-dimensional spatial disease mapping contexts. The method is based on the ... -
Big problems in spatio-temporal disease mapping: methods and software
Orozco Acosta, Erick ; Adin Urtasun, Aritz ; Ugarte Martínez, María Dolores (Elsevier, 2023)
Artículo / Artikulua
Background and objective: Fitting spatio-temporal models for areal data is crucial in many fields such as cancer epidemiology. However, when data sets are very large, many issues arise. The main objective of this paper is ... -
Body composition and resting energy expenditure in a group of children with achondroplasia
Garde-Etayo, Laura; Trandafir, Paula Camelia ; Saint-Laurent, Céline; Ugarte Martínez, María Dolores ; Insausti Serrano, Ana María (Elsevier, 2024)
Artículo / Artikulua
Background: Persons with achondroplasia develop early obesity, which is a comorbidity associated with other complications. Currently, there are no validated specific predictive equations to estimate resting energy expenditure ... -
Checking unimodality using isotonic regression: an application to breast cancer mortality rates
Rueda, C.; Ugarte Martínez, María Dolores ; Militino, Ana F. (Springer, 2016)
Artículo / Artikulua
In some diseases it is well-known that a unimodal mortality pattern exists. A clear example in developed countries is breast cancer, where mortality increased sharply until the nineties and then decreased. This clear ... -
Detecting change-points in the time series of surfaces occupied by pre-defined NDVI categories in continental Spain from 1981 to 2015
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Pérez Goya, Unai (Springer, 2018)
Capítulo de libro / Liburuen kapitulua
The free access to satellite images since more than 40 years ago has provoked a rapid increase of multitemporal derived information of remote sensing data that should be summarized and analyzed for future inferences. ... -
Evaluating recent methods to overcome spatial confounding
Urdangarin Iztueta, Arantxa; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores (Springer, 2022)
Artículo / Artikulua
The concept of spatial confounding is closely connected to spatial regression, although no general definition has been established. A generally accepted idea of spatial confounding in spatial regression models is the change ... -
Filling missing data and smoothing altered data in satellite imagery with a spatial functional procedure
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Montesino San Martín, Manuel (Springer, 2019)
Artículo / Artikulua
Outliers and missing data are commonly found in satellite imagery. These are usually caused by atmospheric or electronic failures, hampering the correct monitoring of remote-sensing data. To avoid distorted data, we propose ... -
Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns
Goicoa Mangado, Tomás; Adin Urtasun, Aritz ; Etxeberria Andueza, Jaione ; Militino, Ana F. ; Ugarte Martínez, María Dolores (SAGE, 2019)
Artículo / Artikulua
In this paper age-space-time models based on one and two-dimensional P-splines with B-spline bases are proposed for smoothing mortality rates, where both xed relative scale and scale invariant two-dimensional penalties ... -
High-dimensional order-free multivariate spatial disease mapping
Vicente Fuenzalida, Gonzalo; Adin Urtasun, Aritz ; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores (Springer, 2023)
Artículo / Artikulua
Despite the amount of research on disease mapping in recent years, the use of multivariate models for areal spatial data remains limited due to difficulties in implementation and computational burden. These problems are ... -
Hybrid pine (Pinus attenuata × Pinus radiata) somatic embryogenesis: what do you prefer, mother or nurse?
Montalbán, Itziar A.; Castander Olarieta, Ander; Hargreaves, Cathy L.; Gough, Keiko; Reeves, Cathie B.; Ballekom, Shaf van; Goicoa Mangado, Tomás ; Ugarte Martínez, María Dolores ; Moncaleán, Paloma (MDPI, 2021)
Artículo / Artikulua
Development of hybrid pines of Pinus radiata D. Don for commercial forestry presents an opportunity to diversify the current resource of plant material. Climate change and different land uses pose challenges, making ... -
Improving the quality of satellite imagery based on ground-truth data from rain gauge stations
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Pérez Goya, Unai (MDPI, 2018)
Artículo / Artikulua
Multitemporal imagery is by and large geometrically and radiometrically accurate, but the residual noise arising from removal clouds and other atmospheric and electronic effects can produce outliers that must be mitigated ... -
In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results
Goicoa Mangado, Tomás; Adin Urtasun, Aritz ; Ugarte Martínez, María Dolores ; Hodges, James S. (Springer, 2018)
Artículo / Artikulua
Disease mapping studies the distribution of relative risks or rates in space and time, and typically relies on generalized linear mixed models (GLMMs) including fixed effects and spatial, temporal, and spatio-temporal ... -
Induction of radiata pine somatic embryogenesis at high temperatures provokes a long-term decrease in DNA methylation/hydroxymethylation and differential expression of stress-related genes
Castander Olarieta, Ander; Pereira, Catia; Sales, Ester; Meijón, Mónica; Arrillaga, Isabel; Goicoa Mangado, Tomás ; Ugarte Martínez, María Dolores ; Cañal, María Jesús; Moncaleán, Paloma; Montalbán, Itziar A. (MDPI, 2020)
Artículo / Artikulua
Based on the hypothesis that embryo development is a crucial stage for the formation of stable epigenetic marks that could modulate the behaviour of the resulting plants, in this study, radiata pine somatic embryogenesis ... -
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
Echegoyen Arruti, Carlos; Pérez, Aritz; Santafé Rodrigo, Guzmán ; Pérez-Goya, Unai ; Ugarte Martínez, María Dolores (Springer, 2024)
Artículo / Artikulua
Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a large scale is a challenging task due to ... -
Locally adaptive change-point detection (LACPD) with applications to environmental changes
Moradi, Mohammad Mehdi ; Montesino San Martín, Manuel ; Ugarte Martínez, María Dolores ; Militino, Ana F. (Springer, 2021)
Artículo / Artikulua
We propose an adaptive-sliding-window approach (LACPD) for the problem of change-point detection in a set of time-ordered observations. The proposed method is combined with sub-sampling techniques to compensate for the ... -
Logistic regression versus XGBoost for detecting burned areas using satellite images
Militino, Ana F. ; Goyena Baroja, Harkaitz; Pérez-Goya, Unai ; Ugarte Martínez, María Dolores (Springer, 2024)
Artículo / Artikulua
Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ... -
Machine learning procedures for daily interpolation of rainfall in Navarre (Spain)
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Pérez Goya, Unai (Springer, 2023)
Capítulo de libro / Liburuen kapitulua
Kriging is by far the most well known and widely used statistical method for interpolating data in spatial random fields. The main reason is that it provides the best linear unbiased predictor and it is an exact interpolator ... -
Multivariate Bayesian spatio-temporal P-spline models to analyze crimes against women
Vicente Fuenzalida, Gonzalo; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores (Oxford University Press, 2021)
Artículo / Artikulua
Univariate spatio-temporal models for areal count data have received great attention in recent years for estimating risks. However, models for studying multivariate responses are less commonly used mainly due to the ...
