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07/11/2023
Summary characteristics for multivariate function-valued spatial point process attributes
Prompted by modern technologies in data acquisition, the statistical ana...
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09/15/2022
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes
We propose a local version of spatio-temporal log-Gaussian Cox processes...
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08/19/2022
Local inhomogeneous weighted summary statistics for marked point processes
We introduce a family of local inhomogeneous mark-weighted summary stati...
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07/19/2022
Clustering constrained on linear networks
An unsupervised classification method for point events occurring on a ne...
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07/14/2022
A Spatio-Temporal Dirichlet Process Mixture Model for Coronavirus Disease-19
Understanding the spatio-temporal patterns of the coronavirus disease 20...
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01/21/2022
ANOVA for Data in Metric Spaces, with Applications to Spatial Point Patterns
We give a review of recent ANOVA-like procedures for testing group diffe...
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01/20/2022
Generalised functional additive mixed models with compositional covariates for areal Covid-19 incidence curves
We extend the generalised functional additive mixed model to include (fu...
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01/07/2022
Measurement Error Models for Spatial Network Lattice Data: Analysis of Car Crashes in Leeds
Road casualties represent an alarming concern for modern societies, espe...
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11/29/2021
Mapping the intensity function of a non-stationary point process in unobserved areas
Seismic networks provide data that are used as basis both for public saf...
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11/12/2021
A new class of spatial covariance functions generated by higher-order kernels
Covariance functions and variograms play a fundamental role in explorato...
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09/18/2021
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data
Most COVID-19 studies commonly report figures of the overall infection a...
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06/01/2021
A non-separable first-order spatio-temporal intensity for events on linear networks: an application to ambulance interventions
The algorithms used for optimal management of ambulances require accurat...
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05/23/2021
Bayesian Effect Selection for Additive Quantile Regression with an Analysis to Air Pollution Thresholds
Statistical techniques used in air pollution modelling usually lack the ...
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11/25/2020
Multivariate hierarchical analysis of car crashes data considering a spatial network lattice
Road traffic casualties represent a hidden global epidemic, demanding ev...
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11/08/2020
Spatio-temporal small area surveillance of the Covid-19 pandemics
The emergence of Covid-19 requires new effective tools for epidemiologic...
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09/28/2020
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany
The novel coronavirus disease (COVID-19) has spread rapidly across the w...
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05/03/2020
Nonparametric testing of the dependence structure among points-marks-covariates in spatial point patterns
We investigate the problem of testing the hypothesis of independence bet...
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03/05/2020
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes
This paper contributes to the multivariate analysis of marked spatio-tem...
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11/29/2019
Functional marked point processes – A natural structure to unify spatio-temporal frameworks and to analyse dependent functional data
This paper treats functional marked point processes (FMPPs), which are d...
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11/01/2019
Revisiting the random shift approach for testing in spatial statistics
We consider the problem of non-parametric testing of independence of two...
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10/08/2019
Inhomogeneous higher-order summary statistics for linear network point processes
We introduce the notion of intensity reweighted moment pseudostationary ...
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09/16/2019
Metrics and barycenters for point pattern data
We introduce the transport-transform (TT) and the relative transport-tra...
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06/18/2019
A spatial dependence graph model for multivariate spatial hybrid processes
This paper is concerned with the joint analysis of multivariate mixed-ty...
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06/04/2019
Partial and semi-partial measures of spatial associations for multivariate lattice data
This paper concerns the development of partial and semi-partial measures...
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07/06/2018
Resample-smoothing of Voronoi intensity estimators
Voronoi intensity estimators, which are non-parametric estimators for in...
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02/15/2018
Prediction of spatial functional random processes: Comparing functional and spatio-temporal kriging approaches
In this paper, we present and compare functional and spatio-temporal (Sp...
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12/05/2017