A spatial skew-Gaussian process with a specified covariance function
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Publication:2107581
DOI10.1016/j.spl.2022.109681zbMath1503.62074OpenAlexW4296188929WikidataQ114130431 ScholiaQ114130431MaRDI QIDQ2107581
Hossein Boojari, Hamid Zareifard, Majid Jafari Khaledi
Publication date: 2 December 2022
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2022.109681
Random fields (60G60) Inference from spatial processes (62M30) Random fields; image analysis (62M40) Bayesian inference (62F15) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10)
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Cites Work
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- Extending mixtures of factor models using the restricted multivariate skew-normal distribution
- Construction of non-Gaussian random fields with any given correlation structure
- Interpolation of spatial data. Some theory for kriging
- A Bayesian prediction using the skew Gaussian distribution.
- Modeling skewed spatial data using a convolution of Gaussian and log-Gaussian processes
- On the existence of some skew-Gaussian random field models
- Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process
- Copula-based geostatistical modeling of continuous and discrete data including covariates
- Spatial Matérn Fields Driven by Non-Gaussian Noise
- Non-Gaussian spatiotemporal modelling through scale mixing
- On the Unification of Families of Skew-normal Distributions
- Handbook of Spatial Statistics
- Gaussian Predictive Process Models for Large Spatial Data Sets
- The multivariate skew-normal distribution
- Bayesian Prediction of Transformed Gaussian Random Fields
- The Evaluation of General Non-Centred Orthant Probabilities
- A New Spatial Skew-Normal Random Field Model
- Non-Gaussian Bayesian Geostatistical Modeling
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