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paper.bib
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@article{Pearson:2017,
url = {http://adsabs.harvard.edu/abs/2017arXiv170304627P},
Archiveprefix = {arXiv},
Author = {{Pearson}, S. and {Price-Whelan}, A.~M. and {Johnston}, K.~V.},
Eprint = {1703.04627},
Journal = {ArXiv e-prints},
Keywords = {Astrophysics - Astrophysics of Galaxies},
Month = mar,
Title = {{Gaps in Globular Cluster Streams: Pal 5 and the Galactic Bar}},
Year = 2017
}
@book{Binney:2008,
url = {http://adsabs.harvard.edu/abs/2008gady.book.....B},
Author = {{Binney}, J. and {Tremaine}, S.},
Booktitle = {Galactic Dynamics: Second Edition, by James Binney and Scott Tremaine.~ISBN 978-0-691-13026-2 (HB).~Published by Princeton University Press, Princeton, NJ USA, 2008.},
Publisher = {Princeton University Press},
Title = {{Galactic Dynamics: Second Edition}},
Year = 2008
}
@article{gaia,
author = {{Gaia Collaboration}},
title = "{The Gaia mission}",
journal = {Astronomy and Astrophysics},
archivePrefix = "arXiv",
eprint = {1609.04153},
primaryClass = "astro-ph.IM",
keywords = {space vehicles: instruments, Galaxy: structure, astrometry, parallaxes, proper motions, telescopes},
year = 2016,
month = nov,
volume = 595,
doi = {10.1051/0004-6361/201629272},
url = {http://adsabs.harvard.edu/abs/2016A%26A...595A...1G},
}
@article{astropy,
author = {{Astropy Collaboration}},
title = "{Astropy: A community Python package for astronomy}",
journal = {Astronomy and Astrophysics},
archivePrefix = "arXiv",
eprint = {1307.6212},
primaryClass = "astro-ph.IM",
keywords = {methods: data analysis, methods: miscellaneous, virtual observatory tools},
year = 2013,
month = oct,
volume = 558,
doi = {10.1051/0004-6361/201322068},
url = {http://adsabs.harvard.edu/abs/2013A%26A...558A..33A}
}
@misc{fidgit,
author = {A. M. Smith and K. Thaney and M. Hahnel},
title = {Fidgit: An ungodly union of GitHub and Figshare},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
url = {https://github.com/arfon/fidgit}
}
@phdthesis{patki2016synthetic,
title={The synthetic data vault: Generative modeling for relational databases},
author={Patki, Neha},
year={2016},
school={Massachusetts Institute of Technology}
}
@inproceedings{li2014differentially,
title={Differentially private synthesization of multi-dimensional data using copula functions},
author={Li, Haoran and Xiong, Li and Jiang, Xiaoqian},
booktitle={Advances in database technology: proceedings. International conference on extending database technology},
volume={2014},
pages={475},
year={2014},
organization={NIH Public Access}
}
@inproceedings{li2020sync,
title={Sync: A copula based framework for generating synthetic data from aggregated sources},
author={Li, Zheng and Zhao, Yue and Fu, Jialin},
booktitle={2020 International Conference on Data Mining Workshops (ICDMW)},
pages={571--578},
year={2020},
organization={IEEE}
}
@article{kamthe2021copula,
title={Copula flows for synthetic data generation},
author={Kamthe, Sanket and Assefa, Samuel and Deisenroth, Marc},
journal={arXiv preprint arXiv:2101.00598},
year={2021}
}
@article{dahmen2019synsys,
title={SynSys: A synthetic data generation system for healthcare applications},
author={Dahmen, Jessamyn and Cook, Diane},
journal={Sensors},
volume={19},
number={5},
pages={1181},
year={2019},
publisher={MDPI}
}
@article{raghunathan2021synthetic,
title={Synthetic data},
author={Raghunathan, Trivellore E},
journal={Annual review of statistics and its application},
volume={8},
pages={129--140},
year={2021},
publisher={Annual Reviews}
}