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<ref name="couckuyt2014">{{cite journal |last1=Couckuyt |first1=Ivo |last2=Dhaene |first2=Tom |last3=Demeester |first3=Piet |title=ooDACE toolbox: a flexible object-oriented Kriging implementation |journal=Journal of Machine Learning Research |date=2014 |volume=15 |pages=3183–3186 |url=http://www.jmlr.org/papers/volume15/couckuyt14a/couckuyt14a.pdf |accessdate=8 July 2020}}</ref>
<ref name="zilber2021">{{cite journal |last1=Zilber |first1=Daniel |last2=Katzfuss |first2=Matthias |title=Vecchia–Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data |journal=Computational Statistics & Data Analysis |date=January 2021 |volume=153 |page=107081 |doi=10.1016/j.csda.2020.107081 |arxiv=1906.07828 |s2cid=195068888 |url=https://www.sciencedirect.com/science/article/pii/S0167947320301729 |access-date=1 September 2021 |issn=0167-9473}}</ref>
<ref name="kalaitzis2011">{{cite journal |last1=Kalaitzis |first1=Alfredo |last2=Lawrence |first2=Neil D. |title=A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression |journal=BMC Bioinformatics |date=May 20, 2011 |volume=12 |issue=1 |pages=180 |doi=10.1186/1471-2105-12-180 |
<ref name="roustant2012">{{cite journal |last1=Roustant |first1=Olivier |last2=Ginsbourger |first2=David |last3=Deville |first3=Yves |title=DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization |journal=Journal of Statistical Software |date=2012 |volume=51 |issue=1 |pages=1–55 |doi=10.18637/jss.v051.i01 |s2cid=60672249 |url=https://www.jstatsoft.org/v51/i01/}}</ref>
<ref name="baudin2015">{{cite journal |first1=Michaël |last1=Baudin |first2=Anne |last2=Dutfoy |first3=Bertrand |last3=Iooss |first4=Anne-Laure |last4=Popelin |title=Open TURNS: An industrial software for uncertainty quantification in simulation |date=2015 |arxiv=1501.05242}}</ref>
<ref name="sarkka2013">{{cite journal |last1=Sarkka |first1=Simo |last2=Solin |first2=Arno |last3=Hartikainen |first3=Jouni |title=Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering |journal=IEEE Signal Processing Magazine |date=2013 |volume=30 |issue=4 |pages=51–61 |doi=10.1109/MSP.2013.2246292 |s2cid=7485363 |url=https://ieeexplore.ieee.org
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