@Book{Venables+Ripley:2002,
  author = {William N. Venables and Brian D. Ripley},
  title = {Modern Applied Statistics with \proglang{S}},
  edition = {4th},
  year = {2002},
  pages = {495},
  publisher = {Springer-Verlag},
  address = {New York},
  doi = {10.1007/978-0-387-21706-2},
}

% This article has good comparison to other datasets, we may build ours similarly
@article{breiman2001random,
  title={Random forests},
  author={Breiman, Leo},
  journal={Machine learning},
  volume={45},
  number={1},
  pages={5--32},
  year={2001},
  publisher={Springer}
}

% TODO: Check this one
@inproceedings{langley1992analysis,
  title={An analysis of Bayesian classifiers},
  author={Langley, Pat and Iba, Wayne and Thompson, Kevin and others},
  booktitle={Aaai},
  volume={90},
  pages={223--228},
  year={1992}
}

@article{hand2001idiot,
  title={Idiot's Bayes—not so stupid after all?},
  author={Hand, David J and Yu, Keming},
  journal={International statistical review},
  volume={69},
  number={3},
  pages={385--398},
  year={2001},
  publisher={Wiley Online Library}
}

@article{rosenblatt1956remarks,
  title={Remarks on some nonparametric estimates of a density function},
  author={Rosenblatt, Murray},
  journal={The Annals of Mathematical Statistics},
  pages={832--837},
  year={1956},
  publisher={JSTOR}
}

@article{pan2001akaike,
  title={Akaike's information criterion in generalized estimating equations},
  author={Pan, Wei},
  journal={Biometrics},
  volume={57},
  number={1},
  pages={120--125},
  year={2001},
  publisher={Wiley Online Library}
}

@article{bellman1957dynamic,
  title={Dynamic Programming, Princeton, NJ: Princeton Univ},
  author={Bellman, Richard},
  journal={versity Press. BellmanDynamic Programming1957},
  year={1957}
}

@article{bassett2019maximum,
  title={Maximum a posteriori estimators as a limit of Bayes estimators},
  author={Bassett, Robert and Deride, Julio},
  journal={Mathematical Programming},
  volume={174},
  number={1-2},
  pages={129--144},
  year={2019},
  publisher={Springer}
}

@article{zhang2004optimality,
  title={The optimality of naive Bayes},
  author={Zhang, Harry},
  journal={AA},
  volume={1},
  number={2},
  pages={3},
  year={2004}
}

@article{li2013optimal,
  title={Optimal bandwidth selection for nonparametric conditional distribution and quantile functions},
  author={Li, Qi and Lin, Juan and Racine, Jeffrey S},
  journal={Journal of Business \& Economic Statistics},
  volume={31},
  number={1},
  pages={57--65},
  year={2013},
  publisher={Taylor \& Francis}
}

@article{rebane2013recovery,
  title={The recovery of causal poly-trees from statistical data},
  author={Rebane, George and Pearl, Judea},
  journal={arXiv preprint arXiv:1304.2736},
  year={2013}
}

@article{bayes1763lii,
  title={LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price, in a letter to John Canton, AMFR S},
  author={Bayes, Thomas},
  journal={Philosophical transactions of the Royal Society of London},
  pages={370--418},
  year={1763},
  publisher={The Royal Society London}
}

@article{sinz2009characterization,
  title={Characterization of the p-generalized normal distribution},
  author={Sinz, Fabian and Gerwinn, Sebastian and Bethge, Matthias},
  journal={Journal of Multivariate Analysis},
  volume={100},
  number={5},
  pages={817--820},
  year={2009},
  publisher={Elsevier}
}

@article{shannon1948mathematical,
  title={A mathematical theory of communication},
  author={Shannon, Claude E},
  journal={Bell system technical journal},
  volume={27},
  number={3},
  pages={379--423},
  year={1948},
  publisher={Wiley Online Library}
}

@misc{yang2013networks,
  title={Networks: An Introduction by MEJ Newman: Oxford, UK: Oxford University Press. 720 pp.},
  author={Yang, Song},
  year={2013},
  publisher={Taylor \& Francis}
}

@article{bonacich1987power,
  title={Power and centrality: A family of measures},
  author={Bonacich, Phillip},
  journal={American journal of sociology},
  volume={92},
  number={5},
  pages={1170--1182},
  year={1987},
  publisher={University of Chicago Press}
}

@article{shalev2012online,
  title={Online learning and online convex optimization},
  author={Shalev-Shwartz, Shai and others},
  journal={Foundations and Trends{\textregistered} in Machine Learning},
  volume={4},
  number={2},
  pages={107--194},
  year={2012},
  publisher={Now Publishers, Inc.}
}

@article{huang2017following,
  title={Following the leader and fast rates in online linear prediction: Curved constraint sets and other regularities},
  author={Huang, Ruitong and Lattimore, Tor and Gy{\"o}rgy, Andr{\'a}s and Szepesv{\'a}ri, Csaba},
  journal={The Journal of Machine Learning Research},
  volume={18},
  number={1},
  pages={5325--5355},
  year={2017},
  publisher={JMLR. org}
}

@book{manning2008introduction,
  title={Introduction to information retrieval},
  author={Manning, Christopher D and Raghavan, Prabhakar and Sch{\"u}tze, Hinrich},
  year={2008},
  publisher={Cambridge university press}
}

@inproceedings{rennie2003tackling,
  title={Tackling the poor assumptions of naive bayes text classifiers},
  author={Rennie, Jason D and Shih, Lawrence and Teevan, Jaime and Karger, David R},
  booktitle={Proceedings of the 20th international conference on machine learning (ICML-03)},
  pages={616--623},
  year={2003}
}

@article{casella1992explaining,
  title={Explaining the Gibbs sampler},
  author={Casella, George and George, Edward I},
  journal={The American Statistician},
  volume={46},
  number={3},
  pages={167--174},
  year={1992},
  publisher={Taylor \& Francis}
}

@book{banerjee2014hierarchical,
  title={Hierarchical modeling and analysis for spatial data},
  author={Banerjee, Sudipto and Carlin, Bradley P and Gelfand, Alan E},
  year={2014},
  publisher={CRC press}
}

@book{heath1956euclid,
    author = {Heath, Thomas L. and Euclid},
    title = {The Thirteen Books of Euclid’s Elements, Books 1 and 2},
    year = {1956},
    isbn = {0486600882},
    doi = {10.5555/1096890},
    publisher = {Dover Publications, Inc.},
    address = {USA}
}

@article{maaten2008visualizing,
  title={Visualizing data using t-SNE},
  author={Maaten, Laurens van der and Hinton, Geoffrey},
  journal={Journal of machine learning research},
  volume={9},
  number={Nov},
  pages={2579--2605},
  year={2008}
}

@book{kolmogorov1956foundations,
  title={Foundations of the Theory of Probability},
  author={Kolmogorov, Andrei Nikolaevich},
  year={1956},
  publisher={Chelsea Publishing Company}
}

% We also may compare against this one
@inproceedings{rpkg:wu2015bayesian,
  title={Bayesian model averaging naive bayes (bma-nb): Averaging over an exponential number of feature models in linear time},
  author={Wu, Ga and Sanner, Scott and Oliveira, Rodrigo FSC},
  booktitle={Twenty-Ninth AAAI Conference on Artificial Intelligence},
  year={2015}
}


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%
%%%%%%
%%%%%%     Below only R/R-packages!
%%%%%%
%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

@Manual{R,
  title = {\proglang{R}: {A} Language and Environment for Statistical Computing},
  author = {{\proglang{R} Core Team}},
  organization = {\proglang{R} Foundation for Statistical Computing},
  address = {Vienna, Austria},
  year = {2020},
  url = {https://www.R-project.org/},
}

@Article{rpkg:BayesBinMix_1.4.1,
    author = {Panagiotis Papastamoulis and Magnus Rattray},
    title = {{BayesBinMix: an \proglang{R} Package for Model Based Clustering of
      Multivariate Binary Data}},
    year = {2017},
    journal = {{The \proglang{R} Journal}},
    url =
      {https://journal.r-project.org/archive/2017/RJ-2017-022/index.html},
    pages = {403--420},
    volume = {9},
    number = {1},
}

@Manual{rpkg:bayesm_3.1-4,
    title = {bayesm: Bayesian Inference for Marketing/Micro-Econometrics},
    author = {Peter Rossi},
    year = {2019},
    note = {\proglang{R} package version 3.1-4},
    url = {https://CRAN.R-project.org/package=bayesm},
}

@Manual{rpkg:BLR_1.6,
    title = {BLR: Bayesian Linear Regression},
    author = {Gustavo de los Campos and Paulino Perez Rodriguez,},
    year = {2020},
    note = {\proglang{R} package version 1.6},
    url = {https://CRAN.R-project.org/package=BLR},
}

@Article{rpkg:bnlearn_4.5,
    title = {Learning Bayesian Networks with the \pkg{bnlearn} \proglang{R}
      Package},
    author = {Marco Scutari},
    journal = {Journal of Statistical Software},
    year = {2010},
    volume = {35},
    number = {3},
    pages = {1--22},
    doi = {10.18637/jss.v035.i03},
}

@Manual{rpkg:caret_6.0-85,
   author = {Max Kuhn},
   title = {Building Predictive Models in \proglang{R} Using the caret Package},
   journal = {Journal of Statistical Software, Articles},
   volume = {28},
   number = {5},
   year = {2008},
   note = {\proglang{R} package version 6.0-85},
   abstract = {The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training and tuning across a wide variety of modeling techniques. It also includes methods for pre-processing training data, calculating variable importance, and model visualizations. An example from computational chemistry is used to illustrate the functionality on a real data set and to benchmark the benefits of parallel processing with several types of models.},
   issn = {1548-7660},
   pages = {1--26},
   doi = {10.18637/jss.v028.i05},
   url = {https://www.jstatsoft.org/v028/i05}
}

@Manual{rpkg:covr_3.5.0,
    title = {covr: Test Coverage for Packages},
    author = {Jim Hester},
    year = {2020},
    note = {\proglang{R} package version 3.5.0},
    url = {https://CRAN.R-project.org/package=covr},
}

@Manual{rpkg:cowplot_1.0.0,
    title = {cowplot: Streamlined Plot Theme and Plot Annotations for 'ggplot2'},
    author = {Claus O. Wilke},
    year = {2019},
    note = {\proglang{R} package version 1.0.0},
    url = {https://CRAN.R-project.org/package=cowplot},
}

@Manual{rpkg:doParallel_1.0.15,
    title = {doParallel: Foreach Parallel Adaptor for the 'parallel' Package},
    author = {Microsoft Corporation and Steve Weston},
    year = {2019},
    note = {\proglang{R} package version 1.0.15},
    url = {https://CRAN.R-project.org/package=doParallel},
}

@Manual{rpkg:devtools_2.2.2,
    title = {devtools: Tools to Make Developing \proglang{R} Packages Easier},
    author = {Hadley Wickham and Jim Hester and Winston Chang},
    year = {2020},
    note = {\proglang{R} package version 2.2.2},
    url = {https://CRAN.R-project.org/package=devtools},
}

@Manual{rpkg:e1071_1.7-3,
    title = {e1071: Misc Functions of the Department of Statistics, Probability
Theory Group (Formerly: E1071), TU Wien},
    author = {David Meyer and Evgenia Dimitriadou and Kurt Hornik and Andreas Weingessel and Friedrich Leisch},
    year = {2019},
    note = {\proglang{R} package version 1.7-3},
    url = {https://CRAN.R-project.org/package=e1071},
}

@Article{rpkg:fitdistrplus_1.0-14,
    title = {{fitdistrplus}: An \proglang{R} Package for Fitting Distributions},
    author = {Marie Laure Delignette-Muller and Christophe Dutang},
    journal = {Journal of Statistical Software},
    year = {2015},
    volume = {64},
    number = {4},
    pages = {1--34},
    url = {http://www.jstatsoft.org/v64/i04/},
}

@Manual{rpkg:foreach_1.4.7,
    title = {foreach: Provides Foreach Looping Construct},
    author = {{Microsoft} and Steve Weston},
    year = {2019},
    note = {\proglang{R} package version 1.4.7},
    url = {https://CRAN.R-project.org/package=foreach},
}

@Manual{rpkg:gbm_2.1.5,
    title = {gbm: Generalized Boosted Regression Models},
    author = {Brandon Greenwell and Bradley Boehmke and Jay Cunningham and GBM Developers},
    year = {2019},
    note = {R package version 2.1.5},
    url = {https://CRAN.R-project.org/package=gbm},
}

@Book{rpkg:ggplot2_3.3.0,
    author = {Hadley Wickham},
    title = {ggplot2: Elegant Graphics for Data Analysis},
    publisher = {Springer-Verlag New York},
    year = {2016},
    note = {\proglang{R} package version 3.3.0},
    isbn = {978-3-319-24277-4},
    url = {https://ggplot2.tidyverse.org},
}

@Manual{rpkg:ggpubr_0.2.5,
    title = {ggpubr: 'ggplot2' Based Publication Ready Plots},
    author = {Alboukadel Kassambara},
    year = {2020},
    note = {\proglang{R} package version 0.2.5},
    url = {https://CRAN.R-project.org/package=ggpubr},
}

@InProceedings{rpkg:klaR:0.6-15,
    title = {klaR Analyzing German Business Cycles},
    author = {Claus Weihs and Uwe Ligges and Karsten Luebke and Nils Raabe},
    booktitle = {Data Analysis and Decision Support},
    editor = {D. Baier and R. Decker and L. Schmidt-Thieme},
    publisher = {Springer-Verlag},
    address = {Berlin},
    year = {2005},
    pages = {335-343},
}

@Manual{rpkg:knitr_1.28,
    title = {knitr: A General-Purpose Package for Dynamic Report Generation in \proglang{R}},
    author = {Yihui Xie},
    year = {2020},
    note = {\proglang{R} package version 1.28},
    url = {https://yihui.org/knitr/},
}

@Book{rpkg:lattice_0.20-40,
    title = {Lattice: Multivariate Data Visualization with \proglang{R}},
    author = {Deepayan Sarkar},
    publisher = {Springer},
    address = {New York},
    year = {2008},
    note = {ISBN 978-0-387-75968-5},
    url = {http://lmdvr.r-forge.r-project.org},
}

@Manual{rpkg:mlbench_2.1-1,
    title = {mlbench: Machine Learning Benchmark Problems},
    author = {Friedrich Leisch and Evgenia Dimitriadou},
    year = {2010},
    note = {\proglang{R} package version 2.1-1},
}

@Manual{rpkg:mmb_0.12.0,
    title = {mmb: Arbitrary Dependency Mixed Multivariate Bayesian Models for Inferencing, Regression,
and Neighborhood Search using Joint Probabilities and Kernel Density Estimation},
    author = {Sebastian Hönel},
    note = {\proglang{R} package version 0.12.0},
    year = {2020}
}

@Manual{rpkg:MVNBayesian_0.0.8-11,
    title = {MVNBayesian: Bayesian Analysis Framework for MVN (Mixture) Distribution},
    author = {ZHANG Chen},
    year = {2018},
    note = {\proglang{R} package version 0.0.8-11},
    url = {https://CRAN.R-project.org/package=MVNBayesian},
}

@Manual{rpkg:naivebayes_0.9.7,
    title = {naivebayes: High Performance Implementation of the Naive Bayes Algorithm in R},
    author = {Michal Majka},
    year = {2019},
    note = {R package version 0.9.7},
    url = {https://CRAN.R-project.org/package=naivebayes},
}

@Manual{rpkg:pamr:1.56.1,
    title = {pamr: Pam: Prediction Analysis for Microarrays},
    author = {T. Hastie and R. Tibshirani and Balasubramanian Narasimhan and Gil Chu},
    year = {2019},
    note = {R package version 1.56.1},
    url = {https://CRAN.R-project.org/package=pamr},
}

@Article{rpkg:philentropy_0.4.0,
    title = {Philentropy: Information Theory and Distance Quantification with \proglang{R}},
    author = {Hajk-Georg Drost},
    journal = {Journal of Open Source Software},
    year = {2018},
    volume = {3},
    number = {26},
    pages = {765},
    url = {http://joss.theoj.org/papers/10.21105/joss.00765},
}

@Manual{rpkg:pls_2.7-2,
    title = {pls: Partial Least Squares and Principal Component Regression},
    author = {Bjørn-Helge Mevik and Ron Wehrens and Kristian Hovde Liland},
    year = {2019},
    note = {\proglang{R} package version 2.7-2},
    url = {https://CRAN.R-project.org/package=pls},
}

@Article{rpkg:PReMiuM_3.2.3,
    title = {{PReMiuM}: An \proglang{R} Package for Profile Regression Mixture
      Models Using Dirichlet Processes},
    author = {Silvia Liverani and David I. Hastie and Lamiae Azizi and
      Michail Papathomas and Sylvia Richardson},
    journal = {Journal of Statistical Software},
    note = {\proglang{R} package version 3.2.3},
    year = {2015},
    volume = {64},
    number = {7},
    pages = {1--30},
    url = {http://www.jstatsoft.org/v64/i07/},
}

@Article{rpkg:ranger_0.12-1,
    title = {{ranger}: A Fast Implementation of Random Forests for High Dimensional Data in {C++} and {R}},
    author = {Marvin N. Wright and Andreas Ziegler},
    journal = {Journal of Statistical Software},
    year = {2017},
    volume = {77},
    number = {1},
    pages = {1--17},
    doi = {10.18637/jss.v077.i01},
}

@Manual{rpkg:rmarkdown_2.1,
    title = {rmarkdown: Dynamic Documents for \proglang{R}},
    author = {JJ Allaire and Yihui Xie and Jonathan McPherson and Javier Luraschi and Kevin Ushey and Aron Atkins and Hadley Wickham and Joe Cheng and Winston Chang and Richard Iannone},
    year = {2020},
    note = {\proglang{R} package version 2.1},
    url = {https://github.com/rstudio/rmarkdown},
}

@Manual{rpkg:rpart_4.1-15,
    title = {rpart: Recursive Partitioning and Regression Trees},
    author = {Terry Therneau and Beth Atkinson},
    year = {2019},
    note = {\proglang{R} package version 4.1-15},
    url = {https://CRAN.R-project.org/package=rpart},
}

@Article{rpkg:RSNNS_0.4-12,
    title = {Neural Networks in \proglang{R} Using the Stuttgart Neural Network Simulator: {RSNNS}},
    author = {Christoph Bergmeir and Jos\'e M. Ben\'itez},
    journal = {Journal of Statistical Software},
    year = {2012},
    volume = {46},
    number = {7},
    pages = {1--26},
    url = {http://www.jstatsoft.org/v46/i07/},
}

@Manual{rpkg:Rtsne_0.15,
    title = {{Rtsne}: T-Distributed Stochastic Neighbor Embedding using Barnes-Hut
Implementation},
    author = {Jesse H. Krijthe},
    year = {2015},
    note = {\proglang{R} package version 0.15},
    url = {https://github.com/jkrijthe/Rtsne},
}

@Article{rpkg:testthat_2.3.2,
    author = {Hadley Wickham},
    title = {testthat: Get Started with Testing},
    journal = {The \proglang{R} Journal},
    year = {2011},
    volume = {3},
    pages = {5--10},
    url = {https://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf},
}



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