Zobrazeno 1 - 10
of 1 461
pro vyhledávání: '"Ugarte, M"'
Publikováno v:
Spatial Statistics (2024)
Spatial areal models encounter the well-known and challenging problem of spatial confounding. This issue makes it arduous to distinguish between the impacts of observed covariates and spatial random effects. Despite previous research and various prop
Externí odkaz:
http://arxiv.org/abs/2308.11260
Autor:
Wu, Z., Weinberger, T. I., Chen, J., Cabala, A., Chichinadze, D. V., Shaffer, D., Pospisil, J., Prokleska, J., Haidamak, T., Bastien, G., Sechovsky, V., Hickey, A. J., Mancera-Ugarte, M. J., Benjamin, S., Graf, D. E., Skourski, Y., Lonzarich, G. G., Valiska, M., Grosche, F. M., Eaton, A. G.
The unconventional superconductor UTe$_2$ exhibits numerous signatures of spin-triplet superconductivity -- a rare state of matter which could enable quantum computation protected against decoherence. UTe$_2$ possesses a complex phase landscape compr
Externí odkaz:
http://arxiv.org/abs/2305.19033
Publikováno v:
Biometrical Journal (2023)
Short-term disease forecasting at specific discrete spatial resolutions has become a high-impact decision-support tool in health planning. However, when the number of areas is very large obtaining predictions can be computationally intensive or even
Externí odkaz:
http://arxiv.org/abs/2303.16549
Publikováno v:
Statistics and Computing (2023)
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 exacerbated when the number of
Externí odkaz:
http://arxiv.org/abs/2210.14849
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 in fixed effects estimates
Externí odkaz:
http://arxiv.org/abs/2210.07046
Publikováno v:
Computer Methods and Programs in Biomedicine (2023)
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 to propose a general procedure to analyze high-dimensi
Externí odkaz:
http://arxiv.org/abs/2201.08323
Publikováno v:
Spatial Statistics (2021), 41, 100496
Several methods have been proposed in the spatial statistics literature for the analysis of big data sets in continuous domains. However, new methods for analyzing high-dimensional areal data are still scarce. Here, we propose a scalable Bayesian mod
Externí odkaz:
http://arxiv.org/abs/2007.07724
Publikováno v:
Statistical Modelling 2021
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 bias estimates of such asso
Externí odkaz:
http://arxiv.org/abs/2003.01946
There is a large number of data archives and web services offering free access to multispectral satellite imagery. Images from multiple sources are increasingly combined to improve the spatio-temporal coverage of measurements while achieving more acc
Externí odkaz:
http://arxiv.org/abs/2002.01859
Autor:
Goyena, Harkaitz, Pérez-Goya, Unai, Montesino-SanMartin, Manuel, Militino, Ana F., Wang, Qunming, Atkinson, Peter M., Ugarte, M. Dolores
Publikováno v:
In Remote Sensing of Environment 1 September 2023 295