Listar por autoría "25dd2fc1-c34d-45d9-9e8a-83f4200c76c3"
Mostrando ítems 1-13 de 13
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Classification of Events Using Local Pair Correlation Functions for Spatial Point Patterns
American Statistical Association (2021-05-12)Spatial point pattern analysis usually concerns identifying features in an observation window where there is also noise. This identification traditionally begins with studying the second-order properties of the point ... -
Estimation and prediction of time-varying GARCH models through a state-space representation: a computational approach
Taylor & Francis (2017-06-05)We propose a state-space approach for GARCH models with time-varying parameters able to deal with non-stationarity that is usually observed in a wide variety of time series. The parameters of the non-stationary model are ...
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Mapping the intensity function of a non-stationary point process in unobserved areas
Springer (2022)Seismic networks provide data that are used as basis both for public safety decisions and for scientific research. Their configuration affects the data completeness, which in turn, critically affects several seismological ...
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Mark variograms for spatio-temporal point processes
Elsevier (2017)A spatio-temporal point process can be transformed into two marked point processes by taking the times or locations as marks. For these marked point processes mark variograms can be defined, opening a new way for the ...
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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 Some Statistical Properties of the Spatio-Temporal Product Density
Universidad Nacional de Colombia (2021)We present an extension of the non-parametric edge-corrected Ohser-type kernel estimator for the spatio-temporal product density function. We derive the mean and variance of the estimator and give a closed-form ... -
On the expected value and variance for an estimator of the spatio-temporal product density function
Aalborg University. Department of Mathematical Sciences (2014)Second-order characteristics are used to analyse the spatio-temporal structure of the under- lying point process, and thus these methods provide a natural starting point for the analysis of spatio-temporal point process ...
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Percentage Points of a Test Statistic Useful in Manova with Structured Covariance Matrices
Nova Science Publishers (2013)The exact distribution of a test statistic ΛH for testing equality of mean vectors of m p-variate Gaussian populations having compound symmetry has been derived using inverse Mellin transform, calculus of residues and ...
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Second-order analysis of anisotropic spatiotemporal point process data
Wiley (2015-02)Second-order orientation methods provide a natural tool for the analysis of spatial point process data. In this paper, we extend to the spatiotemporal setting the spatial point pair orientation distribution function. The ...
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Second-order smoothing of spatial point patterns with small sample sizes: a family of kernels
Springer Verlag (2015-01)We consider kernel-based non-parametric estimation of second-order product densities of spatial point patterns. We present a new family of optimal and positive kernels that shows less variance and more flexibility than ...
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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 ...
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Spatio‐temporal classification in point patterns under the presence of clutter.
Wiley (2019-08-23)We consider the problem of detection of features in the presence of clutter forspatio-temporal point patterns. In previous studies, related to the spatial context,Kth nearest-neighbor distances to classify points between ...
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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 ...
