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Self-exciting point process modelling of crimes on linear networks
(SAGE Publications, 2022)
Although there are recent developments for the analysis of first and second-order characteristics of point processes on networks, there are very few attempts in introducing models for network data. Motivated by the analysis ...
Testing for local structure in spatiotemporal point pattern data
(Wiley, 2017-09-03)
The detection of clustering structure in a point pattern is one of themain focuses
of attention in spatiotemporal data mining. Indeed, statistical tools for clustering
detection and identification of individual events ...
A spatial functional count model for heterogeneity analysis in time
(Springer, 2021)
A spatial curve dynamical model framework is adopted for functional prediction of counts in a spatiotemporal log-Gaussian Cox process model. Our spatial functional estimation approach handles both wavelet-based heterogeneity ...
Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices
(Springer Nature Switzerland AG, 2022-07)
Precision medicine pursues the ambitious goal of providing
personalized interventions targeted at individual patients. Within this
vision, digital health and mental health, where fine-grained monitoring
of patients form ...
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 ...
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 ...
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 ...
Innovation in geoprocessing for a Digital Earth
(Taylor & Francis, 2017-12)
Online geoprocessing, the provision and the use of spatial analysis functionality on the Web, is a powerful technological approach to fully realise the vision of a Digital Earth. The Digital Earth objectives include the ...
Some properties of local weighted second-order statistics for spatio-temporal point processes
(Springer, 2020)
Diagnostics of goodness-of-fit in the theory of point processes are often considered through the transformation of data into
residuals as a result of a thinning or a rescaling procedure. We alternatively consider here ...
Imaging through scattering media with single-pixel detection
(SPIE, 2017)
We describe a method to image objects through scattering media based on single-pixel detection and microstructured illumination. Spatial light modulators are used to project a set of microstructured light patterns onto the ...