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refs.bib
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@misc{candesstat300c_lec01,
author = {Candes, Emmanuel},
title = {{Lecture Note 1 - STAT300C}},
month = {March},
year = 2018,
url = {https://statweb.stanford.edu/~candes/stats300c/Lectures/Lecture1.pdf}
}
@book{doxiadis2009logicomix_book,
title = {{Logicomix: An Epic Search for Truth}},
author = {Doxiadis, A. and Papadimitriou, C.H. and Papadatos, A. and Di Donna, A.},
isbn = 9781596914520,
url = {https://books.google.com/books?id=sBpkPgAACAAJ},
year = 2009,
publisher = {Bloomsbury USA}
}
@article{dunn46_recor_linkag,
author = {Halbert L. Dunn},
title = {{Record Linkage}},
journal = {American Journal of Public Health and the Nations Health},
volume = 36,
number = 12,
pages = {1412--1416},
year = 1946,
doi = {10.2105/ajph.36.12.1412},
url = {https://doi.org/10.2105/ajph.36.12.1412},
date_added = {Mon Jun 17 14:05:20 2019}
}
@article{friendly2019titanicviz,
author = {Friendly, Michael and Symanzik, Jürgen and Onder, Ortac},
title = {{Visualising the Titanic disaster}},
journal = {Significance},
volume = 16,
number = 1,
pages = {14--19},
doi = {10.1111/j.1740-9713.2019.01229.x},
url = {
https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/j.1740-9713.2019.01229.x
},
eprint = {
https://rss.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1740-9713.2019.01229.x
},
year = 2019
}
@book{grahamknuthpatashnik1994concrete_book,
title = {{Concrete mathematics: a foundation for computer science}},
author = {Graham, Ronald L and Knuth, Donald E and Patashnik, Oren},
year = 1994,
edition = 2,
publisher = {Addison-Wesley Publishing Company}
}
@book{granville2019primesuspects_book,
author = {Granville, Andrew and Granville, Jennifer and Lewis, Robert J.},
title = {{Prime suspects : the anatomy of integers and permutations}},
year = 2019,
publisher = {Princeton University Press},
date_added = {Mon Aug 5 23:06:30 2019}
}
@book{korostelev2011asymptoticminimax_book,
title = {{Mathematical statistics: asymptotic Minimax theory}},
author = {Korostelev, Aleksandr Petrovich and Korosteleva, Olga},
volume = 119,
year = 2011,
publisher = {American Mathematical Soc.}
}
@inproceedings{pmlr-v51-russo16,
title = {{Controlling Bias in Adaptive Data Analysis Using Information Theory}},
author = {Daniel Russo and James Zou},
booktitle = {
Proceedings of the 19th International Conference on Artificial Intelligence
and Statistics
},
pages = {1232--1240},
year = 2016,
editor = {Arthur Gretton and Christian C. Robert},
volume = 51,
series = {Proceedings of Machine Learning Research},
address = {Cadiz, Spain},
month = {09--11 May},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v51/russo16.pdf},
url = {http://proceedings.mlr.press/v51/russo16.html}
}
@book{robinson2020introfuncanalysis_book,
title = {{An Introduction to Functional Analysis}},
author = {Robinson, James C},
year = 2020,
publisher = {Cambridge University Press}
}
@article{rothman14_earth_carbon_cycle,
author = {Daniel H. Rothman},
title = {{Earth's Carbon Cycle: a Mathematical Perspective}},
journal = {Bulletin of the American Mathematical Society},
volume = 52,
number = 1,
pages = {47--64},
year = 2014,
doi = {10.1090/s0273-0979-2014-01471-5},
url = {https://doi.org/10.1090/s0273-0979-2014-01471-5},
date_added = {Fri Jul 12 10:50:42 2019}
}
@book{steele2004cauchyscwarzmaster_book,
title = {
{ The Cauchy-Schwarz master class: an introduction to the art of
mathematical inequalities }
},
author = {Steele, J Michael},
year = 2004,
publisher = {Cambridge University Press}
}
@book{wainwright_highdimstats_book,
author = {Wainwright, Martin},
title = {{High-Dimensional Statistics A Non-Asymptotic Viewpoint}},
year = 2019,
publisher = {Cambridge University Press},
date_added = {Sun Mar 10 20:34:52 2019},
doi = {10.1017/9781108627771}
}
@misc{wiki_serial_comma,
title = {{Serial comma - Wikipedia, The Free Encyclopedia}},
author = {Wikipedia},
month = {July},
year = 2019,
url = {https://en.wikipedia.org/wiki/Serial\%5Fcomma}
}
@inproceedings{xu2017information,
title = {
{ Information-theoretic analysis of generalization capability of learning
algorithms }
},
author = {Xu, Aolin and Raginsky, Maxim},
booktitle = {Advances in Neural Information Processing Systems},
pages = {2524--2533},
year = 2017,
pdf = {
http://papers.nips.cc/paper/6846-information-theoretic-analysis-of-generalization-capability-of-learning-algorithms.pdf
},
url = {
http://papers.nips.cc/paper/6846-information-theoretic-analysis-of-generalization-capability-of-learning-algorithms.pdf
}
}
@book{holger2018numericallinalg,
author = {Wendland, Holger},
title = {Numerical linear algebra},
series = {Cambridge Texts in Applied Mathematics},
note = {An introduction},
publisher = {Cambridge University Press, Cambridge},
year = {2018},
pages = {x+408},
isbn = {978-1-316-60117-4; 978-1-107-14713-3},
mrclass = {65-01 (65Fxx)},
mrnumber = {3752604}
}
@article{basu2018irfstableinteractions,
title = {
Iterative random forests to discover predictive and stable high-order
interactions
},
author = {Sumanta Basu and Karl Kumbier and James B. Brown and Bin Yu},
year = 2018,
month = jan,
journal = {Proceedings of the National Academy of Sciences},
publisher = {Proceedings of the National Academy of Sciences},
volume = 115,
number = 8,
pages = {1943--1948},
doi = {10.1073/pnas.1711236115},
url = {https://doi.org/10.1073/pnas.1711236115}
}
@article{buja2019maapt1,
title = {
Models as approximations {I}: consequences illustrated with linear regression
},
author = {
Buja, Andreas and Brown, Lawrence and Berk, Richard and George, Edward and
Pitkin, Emil and Traskin, Mikhail and Zhang, Kai and Zhao, Linda
},
year = 2019,
journal = {Statist. Sci.},
volume = 34,
number = 4,
pages = {523--544},
doi = {10.1214/18-STS693},
issn = {0883-4237},
url = {https://doi.org/10.1214/18-STS693},
fjournal = {
Statistical Science. A Review Journal of the Institute of Mathematical
Statistics
},
}
@article{buja2019maapt2,
title = {
Models as approximations {II}: {A} model-free theory of parametric regression
},
author = {
Buja, Andreas and Brown, Lawrence and Kuchibhotla, Arun Kumar and Berk,
Richard and George, Edward and Zhao, Linda
},
year = 2019,
journal = {Statist. Sci.},
volume = 34,
number = 4,
pages = {545--565},
doi = {10.1214/18-STS694},
issn = {0883-4237},
url = {https://doi.org/10.1214/18-STS694},
fjournal = {
Statistical Science. A Review Journal of the Institute of Mathematical
Statistics
},
}