references.bib

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@article{laGP,
	author = {Gramacy, Robert B.},
	doi = {http://hdl.handle.net/10.},
	journal = {Journal of Statistical Software},
	number = {i01},
	title = {{laGP: Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R}},
	volume = {72},
	year = 2016,
	bdsk-url-1 = {http://hdl.handle.net/10.}}

@book{gramacy2020surrogates,
  title={Surrogates: Gaussian process modeling, design, and optimization for the applied sciences},
  author={Gramacy, Robert B},
  year={2020},
  publisher={Chapman and Hall/CRC}
}

@article{binois2021hetgp,
  title={hetgp: Heteroskedastic Gaussian process modeling and sequential design in R},
  author={Binois, Micka{\"e}l and Gramacy, Robert B},
  journal={Journal of Statistical Software},
  volume={98},
  pages={1--44},
  year={2021}
}

@article{binois2018practical,
  title={Practical heteroscedastic Gaussian process modeling for large simulation experiments},
  author={Binois, Mickael and Gramacy, Robert B and Ludkovski, Mike},
  journal={Journal of Computational and Graphical Statistics},
  volume={27},
  number={4},
  pages={808--821},
  year={2018},
  publisher={Taylor \& Francis}
}

@article{thomas2022neon,
  title={The NEON ecological forecasting challenge},
  author={Thomas, R Quinn and Boettiger, Carl and Carey, Cayelan C and Dietze, Michael C and Johnson, Leah R and Kenney, Melissa A and Mclachlan, Jason S and Peters, Jody A and Sokol, Eric R and Weltzin, Jake F and others},
  journal={Authorea Preprints},
  year={2022},
  publisher={Authorea}
}