Works matching AU Porcu, Emilio
Results: 73
Random fields on the hypertorus: Covariance modeling and applications.
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- Environmetrics, 2022, v. 33, n. 1, p. 1, doi. 10.1002/env.2701
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Oracle inequalities and upper bounds for kernel density estimators on manifolds and more general metric spaces.
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- Journal of Nonparametric Statistics, 2022, v. 34, n. 4, p. 734, doi. 10.1080/10485252.2022.2070162
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Study of spatial relationships between two sets of variables: a nonparametric approach.
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- Journal of Nonparametric Statistics, 2013, v. 25, n. 3, p. 695, doi. 10.1080/10485252.2013.797091
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A stochastic fractional Laplace equation driven by colored noise on bounded domain, and its covariance functional.
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- Stochastic Models, 2022, v. 38, n. 3, p. 365, doi. 10.1080/15326349.2022.2045205
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Modeling Temporally Evolving and Spatially Globally Dependent Data.
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- International Statistical Review, 2018, v. 86, n. 2, p. 344, doi. 10.1111/insr.12266
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Testing for Normality in Geostatistics. A New Approach Based on the Mahalanobis Distance: A discussion on the use of univariate normality tests in this context.
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- Ciencia en Desarrollo, 2022, v. 13, n. 2, p. 99, doi. 10.19053/01217488.v13.n2.2022.13650
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A kernel-based method for nonparametric estimation of variograms.
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- Statistica Neerlandica, 2007, v. 61, n. 2, p. 173, doi. 10.1111/j.1467-9574.2007.00326.x
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Estimation of slowly time-varying trend function in long memory regression models.
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- Journal of Statistical Computation & Simulation, 2018, v. 88, n. 10, p. 1903, doi. 10.1080/00949655.2018.1466141
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Editorial.
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- 2018
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- Editorial
Asymmetric matrix-valued covariances for multivariate random fields on spheres.
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- Journal of Statistical Computation & Simulation, 2018, v. 88, n. 10, p. 1850, doi. 10.1080/00949655.2017.1406488
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Likelihood-based inference for multivariate space-time wrapped-Gaussian fields.
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- Journal of Statistical Computation & Simulation, 2016, v. 86, n. 13, p. 2583, doi. 10.1080/00949655.2016.1162309
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- Article
Rudin's extension theorems and exponential convexity for matrix- and function-valued positive semidefinite functions.
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- Computational & Applied Mathematics, 2025, v. 44, n. 1, p. 1, doi. 10.1007/s40314-024-02974-2
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Integral representations, extension theorems and walks through dimensions under radial exponential convexity.
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- Computational & Applied Mathematics, 2024, v. 43, n. 1, p. 1, doi. 10.1007/s40314-023-02529-x
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The Schoenberg kernel and more flexible multivariate covariance models in Euclidean spaces.
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- Computational & Applied Mathematics, 2023, v. 42, n. 4, p. 1, doi. 10.1007/s40314-023-02275-0
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Dimension walks on hyperspheres.
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- Computational & Applied Mathematics, 2022, v. 41, n. 5, p. 1, doi. 10.1007/s40314-022-01912-4
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Criteria and characterizations for spatially isotropic and temporally symmetric matrix-valued covariance functions.
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- Computational & Applied Mathematics, 2022, v. 41, n. 5, p. 1, doi. 10.1007/s40314-022-01930-2
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Vector-valued Gaussian processes on non-Euclidean product spaces: constructive methods and fast simulations based on partial spectral inversion.
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- Stochastic Environmental Research & Risk Assessment, 2024, v. 38, n. 9, p. 3411, doi. 10.1007/s00477-024-02755-7
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Positive semidefinite kernels that are axially symmetric on the sphere and stationary in time: spectral and semi-spectral theory, and constructive approaches.
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- Stochastic Environmental Research & Risk Assessment, 2024, v. 38, n. 6, p. 2315, doi. 10.1007/s00477-024-02681-8
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A catalogue of nonseparable positive semidefinite kernels on the product of two spheres.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 4, p. 1497, doi. 10.1007/s00477-022-02347-3
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Multivariate Kalman filtering for spatio-temporal processes.
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- Stochastic Environmental Research & Risk Assessment, 2022, v. 36, n. 12, p. 4337, doi. 10.1007/s00477-022-02266-3
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Strict positive definiteness under axial symmetry on the sphere.
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- Stochastic Environmental Research & Risk Assessment, 2020, v. 34, n. 5, p. 723, doi. 10.1007/s00477-020-01796-y
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A semiparametric class of axially symmetric random fields on the sphere.
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- Stochastic Environmental Research & Risk Assessment, 2019, v. 33, n. 10, p. 1863, doi. 10.1007/s00477-019-01725-8
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Simulating isotropic vector-valued Gaussian random fields on the sphere through finite harmonics approximations.
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- Stochastic Environmental Research & Risk Assessment, 2019, v. 33, n. 8/9, p. 1659, doi. 10.1007/s00477-019-01717-8
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Covariance functions for multivariate Gaussian fields evolving temporally over planet earth.
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- Stochastic Environmental Research & Risk Assessment, 2019, v. 33, n. 8/9, p. 1593, doi. 10.1007/s00477-019-01707-w
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Z-estimators and auxiliary information for strong mixing processes.
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- Stochastic Environmental Research & Risk Assessment, 2019, v. 33, n. 1, p. 1, doi. 10.1007/s00477-018-1602-5
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Admissible nested covariance models over spheres cross time.
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- Stochastic Environmental Research & Risk Assessment, 2018, v. 32, n. 11, p. 3053, doi. 10.1007/s00477-018-1576-3
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Seismomatics.
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- Stochastic Environmental Research & Risk Assessment, 2017, v. 31, n. 7, p. 1577, doi. 10.1007/s00477-017-1395-y
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An improved spectral turning-bands algorithm for simulating stationary vector Gaussian random fields.
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- Stochastic Environmental Research & Risk Assessment, 2016, v. 30, n. 7, p. 1863, doi. 10.1007/s00477-015-1151-0
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Spatial prediction for infinite-dimensional compositional data.
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- Stochastic Environmental Research & Risk Assessment, 2015, v. 29, n. 7, p. 1737, doi. 10.1007/s00477-014-1010-4
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Classes of compactly supported covariance functions for multivariate random fields.
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- Stochastic Environmental Research & Risk Assessment, 2015, v. 29, n. 4, p. 1249, doi. 10.1007/s00477-014-0996-y
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Combining Euclidean and composite likelihood for binary spatial data estimation.
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- Stochastic Environmental Research & Risk Assessment, 2015, v. 29, n. 2, p. 335, doi. 10.1007/s00477-014-0938-8
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Latent variables and space-time models for environmental problems.
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- 2015
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- Editorial
Nonstationary matrix covariances: compact support, long range dependence and quasi-arithmetic constructions.
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- Stochastic Environmental Research & Risk Assessment, 2015, v. 29, n. 1, p. 193, doi. 10.1007/s00477-014-0867-6
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Radial basis functions with compact support for multivariate geostatistics.
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- Stochastic Environmental Research & Risk Assessment, 2013, v. 27, n. 4, p. 909, doi. 10.1007/s00477-012-0656-z
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New classes of spectral densities for lattice processes and random fields built from simple univariate margins.
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- Stochastic Environmental Research & Risk Assessment, 2012, v. 26, n. 4, p. 479, doi. 10.1007/s00477-012-0572-2
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Bernoulli-Euler beams with random field properties under random field loads: fractal and Hurst effects.
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- Archive of Applied Mechanics, 2014, v. 84, n. 9-11, p. 1595, doi. 10.1007/s00419-014-0904-4
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The effect of the COVID-19 pandemic on deceased and living organ donors in the United States of America.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-24351-x
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- Article
The effect of the COVID-19 pandemic on deceased and living organ donors in the United States of America.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-24351-x
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A deep look into the dagum family of isotropic covariance functions.
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- Journal of Applied Probability, 2022, v. 59, n. 4, p. 1026, doi. 10.1017/jpr.2021.103
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Nonparametric Bayesian Modeling and Estimation of Spatial Correlation Functions for Global Data.
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- Bayesian Analysis, 2021, v. 16, n. 3, p. 845, doi. 10.1214/20-BA1228
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Parametric nonstationary covariance functions on spheres.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.468
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The Shkarofsky‐Gneiting class of covariance models for bivariate Gaussian random fields.
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- Stat, 2018, v. 7, n. 1, p. N.PAG, doi. 10.1002/sta4.207
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Gneiting Class, Semi-Metric Spaces and Isometric Embeddings.
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- Constructive Mathematical Analysis, 2020, v. 3, n. 2, p. 85, doi. 10.33205/cma.712049
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- Article
Emilio Porcu, Horst Simon, and Youssef Wehbe's contribution to the Discussion of 'Inference for extreme spatial temperature events in a changing climate with application to Ireland' by Healy et al.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2025, v. 74, n. 2, p. 316, doi. 10.1093/jrsssc/qlae088
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Validity of covariance models for the analysis of geographical variation.
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- Methods in Ecology & Evolution, 2014, v. 5, n. 4, p. 329, doi. 10.1111/2041-210X.12167
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- Article
Hybrid Parametric Classes of Isotropic Covariance Functions for Spatial Random Fields.
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- Mathematical Geosciences, 2024, v. 56, n. 7, p. 1517, doi. 10.1007/s11004-023-10123-4
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New Validity Conditions for the Multivariate Matérn Coregionalization Model, with an Application to Exploration Geochemistry.
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- Mathematical Geosciences, 2022, v. 54, n. 6, p. 1043, doi. 10.1007/s11004-022-10000-6
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Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere.
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- Journal of the American Statistical Association, 2016, v. 111, n. 514, p. 888, doi. 10.1080/01621459.2015.1072541
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Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach.
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- Journal of the American Statistical Association, 2012, v. 107, n. 497, p. 268, doi. 10.1080/01621459.2011.646928
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Convergence arguments to bridge cauchy and matérn covariance functions.
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- Statistical Papers, 2024, v. 65, n. 2, p. 645, doi. 10.1007/s00362-023-01400-9
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