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paper.bib
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@article{durante2015convergence,
title={Convergence results for patchwork copulas},
author={Durante, Fabrizio and Fern{\'a}ndez-S{\'a}nchez, Juan and Quesada-Molina, Jos{\'e} Juan and Ubeda-Flores, Manuel},
journal={European Journal of Operational Research},
volume={247},
number={2},
pages={525--531},
year={2015},
publisher={Elsevier},
doi={10.1016/j.ejor.2015.06.028}
}
@inproceedings{ram2011density,
title={Density estimation trees},
author={Ram, Parikshit and Gray, Alexander G},
booktitle={Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining},
pages={627--635},
year={2011},
doi={10.1145/2020408.2020507},
}
@article{wu2018density,
title={Density estimation via the random forest method},
author={Wu, Kaiyuan and Hou, Wei and Yang, Hongbo},
journal={Communications in Statistics-Theory and Methods},
volume={47},
number={4},
pages={877--889},
year={2018},
publisher={Taylor \& Francis},
doi={10.1080/03610926.2017.1285929}
}
@article{sklar1959fonctions,
title={Fonction de r{\'e}partition dont les marges sont donn{\'e}es},
author={Sklar, Abe},
journal={Inst. Stat. Univ. Paris},
volume={8},
pages={229--231},
year={1959}
}
@article{nagler2016evading,
title={Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas},
author={Nagler, Thomas and Czado, Claudia},
journal={Journal of Multivariate Analysis},
volume={151},
pages={69--89},
year={2016},
publisher={Elsevier},
doi={10.1016/j.jmva.2016.07.003}
}
@misc{li2018panda,
title={PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models},
author={Yinan Li and Xiao Liu and Fang Liu},
year={2019},
eprint={1810.04851},
archivePrefix={arXiv},
primaryClass={stat.ML},
url={https://arxiv.org/abs/1810.04851}
}
@misc{laverny2020dependence,
title={Dependence structure estimation using Copula Recursive Trees},
author={Oskar Laverny and Véronique Maume-Deschamps and Esterina Masiello and Didier Rullière},
year={2020},
eprint={2005.02912},
archivePrefix={arXiv},
primaryClass={math.ST},
url={https://arxiv.org/abs/2005.02912}
}
@Manual{cop1,
title = {copula: Multivariate Dependence with Copulas},
author = {Marius Hofert and Ivan Kojadinovic and Martin Maechler
and Jun Yan},
year = {2020},
note = {R package version 1.0-0},
url = {https://CRAN.R-project.org/package=copula},
}
@Article{cop2,
title = {Enjoy the Joy of Copulas: With a Package {copula}},
author = {{Jun Yan}},
journal = {Journal of Statistical Software},
year = {2007},
volume = {21},
number = {4},
pages = {1--21},
url = {http://www.jstatsoft.org/v21/i04/},
doi = {10.18637/jss.v021.i04},
}
@Article{cop3,
title = {Modeling Multivariate Distributions with Continuous
Margins Using the {copula} {R} Package},
author = {{Ivan Kojadinovic} and {Jun Yan}},
journal = {Journal of Statistical Software},
year = {2010},
volume = {34},
number = {9},
pages = {1--20},
url = {http://www.jstatsoft.org/v34/i09/},
doi = {10.18637/jss.v034.i09},
}
@Article{cop4,
title = {Nested Archimedean Copulas Meet {R}: The {nacopula}
Package},
author = {{Marius Hofert} and {Martin M\"achler}},
journal = {Journal of Statistical Software},
year = {2011},
volume = {39},
number = {9},
pages = {1--20},
url = {http://www.jstatsoft.org/v39/i09/},
doi = {10.18637/jss.v039.i09},
}
@Misc{future,
author = {Henrik Bengtsson},
title = {A Unifying Framework for Parallel and Distributed
Processing in R using Futures},
year = {2020},
month = {aug},
eprint = {2008.00553},
archiveprefix = {arXiv},
primaryclass = {cs.DC},
url = {https://arxiv.org/abs/2008.00553},
}
@Article{rcpp1,
title = {{Rcpp}: Seamless {R} and {C++} Integration},
author = {Dirk Eddelbuettel and Romain Fran\c{c}ois},
journal = {Journal of Statistical Software},
year = {2011},
volume = {40},
number = {8},
pages = {1--18},
url = {http://www.jstatsoft.org/v40/i08/},
doi = {10.18637/jss.v040.i08},
}
@Book{rcpp2,
title = {Seamless R and C++ Integration with {Rcpp}},
author = {Dirk Eddelbuettel},
publisher = {Springer},
address = {New York},
year = {2013},
note = {ISBN 978-1-4614-6867-7},
doi = {10.1007/978-1-4614-6868-4},
}
@Article{rcpp3,
title = {{Extending R with C++: A Brief Introduction
to extit{Rcpp}}},
author = {Dirk Eddelbuettel and James Joseph Balamuta},
journal = {PeerJ Preprints},
year = {2017},
month = {aug},
volume = {5},
pages = {e3188v1},
issn = {2167-9843},
url = {https://doi.org/10.7287/peerj.preprints.3188v1},
doi = {10.7287/peerj.preprints.3188v1},
}
@Article{rcpp4,
title = {RcppArmadillo: Accelerating R with high-performance C++ linear algebra},
author = {Dirk Eddelbuettel and Conrad Sanderson},
journal = {Computational Statistics and Data Analysis},
year = {2014},
volume = {71},
month = {March},
pages = {1054--1063},
url = {http://dx.doi.org/10.1016/j.csda.2013.02.005},
doi = {10.1016/j.csda.2013.02.005}
}