Pages that link to "Item:Q144892"
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The following pages link to Spatio-temporal circular models with non-separable covariance structure (Q144892):
Displaying 17 items.
- CircSpaceTime (Q43022) (← links)
- Spatial analysis of wave direction data using wrapped Gaussian processes (Q144889) (← links)
- The joint projected normal and skew-normal: a distribution for poly-cylindrical data (Q1742728) (← links)
- A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes (Q2080349) (← links)
- Modeling animal movement with directional persistence and attractive points (Q2170454) (← links)
- Gaussian processes on the support of cylindrical surfaces, with application to periodic spatio-temporal data (Q2250694) (← links)
- New formulation of the logistic-Gaussian process to analyze trajectory tracking data (Q2291532) (← links)
- Recent advances in directional statistics (Q2666029) (← links)
- Joint spatio-temporal analysis of a linear and a directional variable: space-time modeling of wave heights and wave directions in the Adriatic Sea (Q3195184) (← links)
- Circular interpretation of regression coefficients (Q4638774) (← links)
- Clustering of longitudinal interval-valued data via mixture distribution under covariance separability (Q5037019) (← links)
- Multivariate Gaussian Random Fields over Generalized Product Spaces involving the Hypertorus (Q5047938) (← links)
- CircSpaceTime: an R package for spatial and spatio-temporal modelling of circular data (Q5107778) (← links)
- Likelihood-based inference for multivariate space-time wrapped-Gaussian fields (Q5222501) (← links)
- Gaussian random fields on the product of spheres: theory and applications (Q6200912) (← links)
- A smoothing spline model for multimodal and skewed circular responses: applications in meteorology and oceanography (Q6626376) (← links)
- Random fields on the hypertorus: covariance modeling and applications (Q6626413) (← links)