Pages that link to "Item:Q3107971"
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The following pages link to Non-Gaussian spatiotemporal modelling through scale mixing (Q3107971):
Displaying 13 items.
- A class of random fields with two-piece marginal distributions for modeling point-referenced data with spatial outliers (Q69407) (← links)
- Non-Gaussian covariate-dependent spatial measurement error model for analyzing big spatial data (Q1722626) (← links)
- A three-step local smoothing approach for estimating the mean and covariance functions of spatio-temporal data (Q2075448) (← links)
- A spatial skew-Gaussian process with a specified covariance function (Q2107581) (← links)
- Multivariate transformed Gaussian processes (Q2195526) (← links)
- Gaussian processes on the support of cylindrical surfaces, with application to periodic spatio-temporal data (Q2250694) (← links)
- A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness (Q2861795) (← links)
- Bayesian residual analysis for spatially correlated data (Q3386463) (← links)
- A kernel-based spectral model for non-Gaussian spatio-temporal processes (Q3427637) (← links)
- Bayesian modeling of discrete-time point-referenced spatio-temporal data (Q6149602) (← links)
- Spatiotemporal models for skewed processes (Q6625860) (← links)
- Gaussian likelihood inference on data from trans-Gaussian random fields with Matérn covariance function (Q6626000) (← links)
- Spatial models for non-Gaussian data with covariate measurement error (Q6626055) (← links)
