Fast and flexible Bayesian species distribution modelling using Gaussian processes-Reference-Cited by-同舟云学术

Fast and flexible Bayesian species distribution modelling using Gaussian processes

Published:2016-01-05 Issue:5 Volume:7 Page:598-608
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Golding Nick¹²,Purse Bethan V.¹

Affiliation:

1. Centre for Ecology & Hydrology Crowmarsh Gifford Wallingford UK OX10 8BB UK

2. Spatial Ecology and Epidemiology Group Wellcome Trust Centre for Human Genetics University of Oxford Oxford OX3 7BN UK

Funder

NERC Environmental Bioinformatics Centre

Publisher

Wiley

Subject

Ecological Modelling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12523

Reference52 articles.

1. Alvarez M.&Lawrence N.D.(2009)Sparse convolved Gaussian processes for multi‐output regression.Advances in Neural Information Processing Systems(NIPS 21) pp.57–64.

2. A Limited Memory Algorithm for Bound Constrained Optimization

3. Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm

4. Correlation and process in species distribution models: bridging a dichotomy

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