# Problem for accounting for spatial correlation with NNGP model

**URL:** <https://discourse.mc-stan.org/t/problem-for-accounting-for-spatial-correlation-with-nngp-model/15038>\
**Category:** Modeling\
**Tags:** fitting-issues, specification\
**Created:** [May 11, 2020, 12:38pm UTC](https://discourse.mc-stan.org/t/problem-for-accounting-for-spatial-correlation-with-nngp-model/15038 "2020-05-11T12:38:25Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![bbbales2](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/bbbales2/32/77_2.png) [@bbbales2](https://discourse.mc-stan.org/u/bbbales2)\
**Post date:** [May 11, 2020, 12:54pm UTC](https://discourse.mc-stan.org/t/problem-for-accounting-for-spatial-correlation-with-nngp-model/15038/2 "2020-05-11T12:54:54Z")

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There’s some new stuff in brms that should make GPs easier to work with that I think is relevant here.

Have a look here: [Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming](https://discourse.mc-stan.org/t/practical-hilbert-space-approximate-bayesian-gaussian-processes-for-probabilistic-programming/14633) and the associated paper: [https://arxiv.org/abs/2004.11408](https://arxiv.org/abs/2004.11408) (especially the examples at the end).

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