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Geostatistical mixed beta regression: a Bayesian approach
(Springer Verlag, 2017)
This paper develops regression techniques for
geostatistical data, with an emphasis in proportions mea-
sured on a continuous scale. Specifically, it deals with Beta
regression models with mixed effects to control the ...
A second-order test to detect spatio-temporal anisotropic effects in point patterns
(Taylor & Francis, 2018)
Second-order spatio-temporal orientation methods provide a natural tool for the analysis of anisotropic spatio-temporal point process data. In this paper, we generalize a method based on the spatial point pair orientation ...
Mean curvature, volume and properness of isometric immersions
(American Mathematical Society, 2017)
We explore the relation among volume, curvature and properness
of an
m
-dimensional isometric immersion in a Riemannian manifold. We show
that, when the
L
p
-norm of the mean curvature vector is bounded for ...
ABC Shadow algorithm: a tool for statistical analysis of spatial patterns
(Springer Verlag, 2017)
This paper presents an original ABC algorithm, ABC Shadow, that can be applied to sample posterior densities that are continuously differentiable. The proposed algorithm solves the main condition to be fulfilled by any ABC ...
A family of Markov processes in maximal compact subgroups of a semisimple Lie groups
(Elsevier, 2017)
We propose and define a family of marked point processes in noncompact semisimple Lie groups. We first generate Lévy processes via marked point processes by using jump–diffusion processes. Then we build a family of Markov ...
Measuring spatial inhomogeneity at different spatial scales using hybrids of Gibbs point process models
(Springer Verlag, 2016-05)
Infectious diseases give rise to complex spatial patterns exhibiting aggregation at different scales. Baddeley (J Stat Softw 55:1–43, 2013) proposed a technique for constructing new Gibbs models for spatial point patterns, ...
A penalized likelihood method for nonseparable space–time generalized additive models
(Springer Verlag, 2018-07)
In this paper, we study space-time generalized additive models. We apply the penalyzed likelihood method to fit generalized additive models (GAMs) for nonseparable spatio-temporal correlated data in order to improve the ...
Temporal stability on human activity recognition based on Wi-Fi CSI
(IEEE, 2023-12-06)
Over the last years, numerous studies have emerged using Wi-Fi channel state information, enabling device-free (passive) sensing for applications such as motion detection, indoor positioning or human activity recognition. ...
Prior-based probabilistic latent semantic analysis for multimedia retrieval
(Springer Verlag, 2017)
Topic models have shown to be one of the most effective tools in Content-Based
Multimedia Retrieval (CBMR). However, the high computational learning cost together
with the huge expansion of multimedia collections limit ...
Spatial pattern analysis using hybrid models: an application to the Hellenic seismicity
(Springer Verlag, 2017)
Earthquakes are one of the most destructive
natural disasters and the spatial distribution of their epi-
centres generally shows diverse interaction structures at
different spatial scales. In this paper, we use a ...