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Geostatistical Functional Data Analysis

1, 2021

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Jorge Mateu's second contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’

Journal of the Royal Statistical Society. Series A, Statistics in society, 2022-10, Vol.185 (4), p.1839-1840

Mateu, Jorge

2022

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Analysis of multispecies point patterns by using multivariate log-Gaussian Cox processes

Journal of the Royal Statistical Society Series C: Applied Statistics, 2016-01, Vol.65 (1), p.77-96

2016

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Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2024-04, Vol.86 (2), p.325-326

Mateu, Jorge

2024

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Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

1, 2015

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Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks

IEEE access, 2020, Vol.8, p.209101-209112

2020

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Jorge Mateu’s contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’ by Narayanan, Kosmidis, and Dellaportas

Journal of the Royal Statistical Society Series C: Applied Statistics, 2023-12, Vol.72 (5), p.1131-1131

Mateu, Jorge

2023

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Hybrids of Gibbs Point Process Models and Their Implementation

Journal of statistical software, 2013-11, Vol.55 (11), p.1-43

2013

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A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes

Entropy (Basel, Switzerland), 2022-06, Vol.24 (7), p.892

2022

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Jorge Mateu’s contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-02, Vol.84 (1), p.47-48

Mateu, Jorge

2022

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Jorge Mateu's first contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’

Journal of the Royal Statistical Society. Series A, Statistics in society, 2022-10, Vol.185 (4), p.1838-1839

Mateu, Jorge

2022

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A Dynamic Spatio-Temporal Stochastic Modeling Approach of Emergency Calls in an Urban Context

Mathematics (Basel), 2023-02, Vol.11 (4), p.1052

2023

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Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes

Entropy (Basel, Switzerland), 2021-08, Vol.23 (9), p.1135

2021

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Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields

Entropy (Basel, Switzerland), 2020-02, Vol.22 (2), p.196

2020

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Geospatial Analysis of Extreme Weather Events in Nigeria (1985–2015) Using Self-Organizing Maps

Advances in meteorology, 2017-01, Vol.2017 (2017), p.1-11

2017

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2D Anisotropic Wavelet Entropy with an Application to Earthquakes in Chile

Entropy (Basel, Switzerland), 2015-06, Vol.17 (6), p.4155-4172

2015

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Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models

Spatial statistics, 2022-10, Vol.51, p.100691-100691, Article 100691

2022

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Jorge Mateu’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer

Journal of the Royal Statistical Society. Series A, Statistics in society, 2021-04, Vol.184 (2), p.458-458

Mateu, Jorge

2021

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EDITORIAL from Jorge Mateu

Journal of agricultural, biological, and environmental statistics, 2022-03, Vol.27 (1), p.1-3

Mateu, Jorge

2022

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Non-linear spatial modeling of rat sightings in relation to urban multi-source foci

Journal of infection and public health, 2018-09, Vol.11 (5), p.667-676

2018

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Spatio-temporal Design: Advances in Efficient Data Acquisition

1. Aufl., 2012

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Two-way layout factorial experiments of spatial point pattern responses in mineral flotation

Test (Madrid, Spain), 2021-12, Vol.30 (4), p.1046-1075

2021

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A semiparametric spatiotemporal Hawkes-type point process model with periodic background for crime data

Journal of the Royal Statistical Society. Series A, Statistics in society, 2019-06, Vol.182 (3), p.919-942

2019

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Partial and Semi‐Partial Statistics of Spatial Associations for Multivariate Areal Data

Geographical analysis, 2021-10, Vol.53 (4), p.818-835

2021

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Identification of patterns for space-time event networks

Applied network science, 2022-12, Vol.7 (1), p.1-24, Article 3

2022

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Geostatistical Functional Data Analysis

Jorge Mateu's second contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’

Analysis of multispecies point patterns by using multivariate log-Gaussian Cox processes

Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks

Jorge Mateu’s contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’ by Narayanan, Kosmidis, and Dellaportas

Hybrids of Gibbs Point Process Models and Their Implementation

A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes

Jorge Mateu’s contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al

Jorge Mateu's first contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’

A Dynamic Spatio-Temporal Stochastic Modeling Approach of Emergency Calls in an Urban Context

Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes

Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields

Geospatial Analysis of Extreme Weather Events in Nigeria (1985–2015) Using Self-Organizing Maps

2D Anisotropic Wavelet Entropy with an Application to Earthquakes in Chile

Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models

Jorge Mateu’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer

EDITORIAL from Jorge Mateu

Non-linear spatial modeling of rat sightings in relation to urban multi-source foci

Spatio-temporal Design: Advances in Efficient Data Acquisition

Two-way layout factorial experiments of spatial point pattern responses in mineral flotation

A semiparametric spatiotemporal Hawkes-type point process model with periodic background for crime data

Partial and Semi‐Partial Statistics of Spatial Associations for Multivariate Areal Data

Identification of patterns for space-time event networks

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