# A parametric variogram model bridging between stationary and intrinsically stationary processes

@article{Schlather2014APV, title={A parametric variogram model bridging between stationary and intrinsically stationary processes}, author={Martin Schlather}, journal={arXiv: Methodology}, year={2014} }

A simple variogram model with two parameters is presented that includes the power variogram for the fractional Brownian motion, a modified De Wijsian model, the generalized Cauchy model and the multiquadrics model. One parameter controls the smoothness of the process. The other parameter allows for a smooth parametrization between stationary and intrinsically stationary second order processes in a Gaussian framework, or between mixing and non-ergodic max-stable processes when modeling spatial…

## One Citation

Bivariate Gaussian random fields : models, simulation, and inference

- Mathematics
- 2018

Spatial data with several components, such as observations of air temperature
and pressure in a certain geographical region or the content of two metals in a
geological deposit, require models…

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