Listar por autoría "6a835bac-f424-44a6-b031-970766ec0765"
Mostrando ítems 1-10 de 10
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Directional analysis for point patterns on linear networks
Wiley (2020)Statistical analysis of point processes often assumes that the underlying process is isotropic in the sense that its distribution is invariant under rotation. For point processes on R2 , some tests based on the K- and ... -
Do Monetary Incentives Influence Users’ Behavior in Participatory Sensing?
MDPI (2018)Participatory sensing combines the powerful sensing capabilities of current mobile devices with the mobility and intelligence of human beings, and as such has to potential to collect various types of information at a high ...
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Fast Kernel Smoothing of Point Patterns on a Large Network using Two-dimensional Convolution
Wiley (2019-06)We propose a computationally efficient and statistically principled method for kernel smoothingof point pattern data on a linear network. The point locations, and the network itself, are convolvedwith a two-dimensional ... -
First- and Second-Order Characteristics of Spatio-Temporal Point Processes on Linear Networks
American Statistical Association (2019-12-23)We present several characteristics for spatio-temporal point patterns when the spatial locations are restricted to a linear network. A nonparametric kernel-based intensity estimator is proposed to highlight the concentration ...
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Hierarchical Spatio-Temporal Change-Point Detection
Taylor and Francis (2023)1 Introduction 2 Multivariate Change-Point Detection 3 Hierarchical Spatio-Temporal Change-Point Detection 4 Numerical Evaluation 5 Real Data Analyses 6 Discussion Supplemental material Acknowledgements References ...
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Inhomogeneous higher-order summary statistics for point processes on linear networks
Springer (2020)As a workaround for the lack of transitive transformations on linear network structures, which are required to consider different notions of distributional invariance, including stationarity, we introduce the notions of ...
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On kernel-based intensity estimation of spatial point patterns on linear networks
Taylor & Francis (2018-04)We propose an extension of Diggle’s nonparametric edge-corrected kernel-based intensity estimator to the case of events coming from an inhomogenous point pattern on a linear network. We analyze its statistical properties, ...
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On the trend detection of time-ordered intensity images of point processes on linear networks
Taylor & Francis (2023)Spatial point processes on linear networks are increasingly getting attention in different disciplines such as traffic accidents and street crime analysis. Dealing with a set of time-ordered point patterns on a linear ...
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Resample-smoothing of Voronoi intensity estimators
Springer (2019)Voronoi estimators are non-parametric and adaptive estimators of the intensity of a point process. The intensity estimateat a given location is equal to the reciprocal of the size of the Voronoi/Dirichlet cell containing ...
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Spatio-temporal point patterns on linear networks: Pseudo-separable intensity estimation
Elsevier (2020)Aside from reviewing different intensity estimation schemesfor point processes on linear networks, this paper introducestwo Voronoi-based intensity estimation approaches for spatio-temporal linear network point processes. ...
