book.bib

@Book{xie2015,
  title = {Dynamic Documents with {R} and knitr},
  author = {Yihui Xie},
  publisher = {Chapman and Hall/CRC},
  address = {Boca Raton, Florida},
  year = {2015},
  edition = {2nd},
  note = {ISBN 978-1498716963},
  url = {http://yihui.name/knitr/},
}
@Book{xie2015,
  title = {Dynamic Documents with {R} and knitr},
  author = {Yihui Xie},
  publisher = {Chapman and Hall/CRC},
  address = {Boca Raton, Florida},
  year = {2015},
  edition = {2nd},
  note = {ISBN 978-1498716963},
  url = {http://yihui.name/knitr/},
}
@book{ross,
  added-at = {2015-09-11T13:23:43.000+0200},
  address = {Upper Saddle River, N.J.},
  author = {Ross, Sheldon M.},
  biburl = {https://www.bibsonomy.org/bibtex/29325f1b3acbc545c7ef14d7fe58c8e28/ytyoun},
  edition = {Fifth},
  interhash = {38276e30c93b62798d658c41f33e037c},
  intrahash = {9325f1b3acbc545c7ef14d7fe58c8e28},
  isbn = {0137463146 9780137463145 013895772X 9780138957728},
  keywords = {probability ross textbook},
  publisher = {Prentice Hall},
  refid = {36900824},
  timestamp = {2016-06-12T12:45:30.000+0200},
  title = {A First Course in Probability},
  year = 1998
}
@book{advr,
  title={Advanced R},
  author={Wickham, H.},
  isbn={9781466586963},
  lccn={2012278240},
  series={Chapman \& Hall/CRC The R Series},
  url={https://books.google.com.mx/books?id=PFHFNAEACAAJ},
  year={2014},
  publisher={Taylor \& Francis}
}
@book{r4ds,
 author = {Wickham, Hadley and Grolemund, Garrett},
 title = {R for Data Science: Import, Tidy, Transform, Visualize, and Model Data},
 year = {2017},
 isbn = {1491910399, 9781491910399},
 edition = {1st},
 publisher = {O'Reilly Media, Inc.},
}
@book{pitman-prob,
  added-at = {2008-01-13T17:55:21.000+0100},
  asin = {0387979743},
  author = {Pitman, Jim},
  biburl = {https://www.bibsonomy.org/bibtex/27adb21de98e2f1120bcecb707d14da10/pitman},
  interhash = {fde5cbdb47ba43fda4aa396771e118fc},
  intrahash = {7adb21de98e2f1120bcecb707d14da10},
  keywords = {author:Pitman__Jim probability textbook undergraduate},
  timestamp = {2008-01-13T17:55:21.000+0100},
  title = {Probability},
  typesource = {Simple CitationSource},
  url = {http://www.amazon.ca/Probability-Jim-Pitman/dp/0387979743/ref=sr_1_1?ie=UTF8&s=books&qid=1200243180&sr=1-1},
  year = 1992
}
@book{wasserman,
  abstract = {This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required.},
  added-at = {2016-12-02T12:27:40.000+0100},
  address = {New York},
  author = {Wasserman, Larry},
  biburl = {https://www.bibsonomy.org/bibtex/26eeeed65f018eb61d267c530f549340a/flint63},
  doi = {10.1007/978-0-387-21736-9},
  file = {SpringerLink:2000-04/Wassermann04.pdf:PDF;Springer Product page:http\://www.springer.com/978-1-4419-2322-6:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/0387402721/:URL},
  groups = {public},
  interhash = {4d24dccf9dc08a9b3bf43e2782bd9244},
  intrahash = {6eeeed65f018eb61d267c530f549340a},
  isbn = {978-1-4419-2322-6},
  issn = {1431-875X},
  keywords = {01624 103 springer book theory engineering science},
  publisher = {Springer},
  series = {Springer Texts in Statistics},
  timestamp = {2017-07-13T18:18:19.000+0200},
  title = {All of Statistics: A Concise Course in Statistical Inference},
  username = {flint63},
  year = 2004
}
@book{wilkinson2005,
  title={The Grammar of Graphics},
  author={Wilkinson, L. and Wills, D. and Rope, D. and Norton, A. and Dubbs, R.},
  isbn={9780387245447},
  lccn={2005043230},
  series={Statistics and Computing},
  url={https://books.google.com.mx/books?id=\_kRX4LoFfGQC},
  year={2005},
  publisher={Springer New York}
}
@Article{plyr,
  author = {Hadley Wickham},
  journal = {Journal of Statistical Software},
  number = {1},
  selected = {TRUE},
  title = {The split-apply-combine strategy for data analysis},
  url = {http://www.jstatsoft.org/v40/i01/},
  volume = {40},
  year = {2011},
  bdsk-url-1 = {http://www.jstatsoft.org/v40/i01/},
}
@article{tidy,
   author = {Hadley  Wickham},
   title = {Tidy Data},
   journal = {Journal of Statistical Software, Articles},
   volume = {59},
   number = {10},
   year = {2014},
   keywords = {},
   abstract = {A huge amount of effort is spent cleaning data to get it ready for analysis, but there has been little research on how to make data cleaning as easy and effective as possible. This paper tackles a small, but important, component of data cleaning: data tidying. Tidy datasets are easy to manipulate, model and visualize, and have a specific structure: each variable is a column, each observation is a row, and each type of observational unit is a table. This framework makes it easy to tidy messy datasets because only a small set of tools are needed to deal with a wide range of un-tidy datasets. This structure also makes it easier to develop tidy tools for data analysis, tools that both input and output tidy datasets. The advantages of a consistent data structure and matching tools are demonstrated with a case study free from mundane data manipulation chores.},
   issn = {1548-7660},
   pages = {1--23},
   doi = {10.18637/jss.v059.i10},
   url = {https://www.jstatsoft.org/v059/i10}
}
@book{wickham2009,
 author = {Wickham, Hadley},
 title = {Ggplot2: Elegant Graphics for Data Analysis},
 year = {2009},
 isbn = {0387981403, 9780387981406},
 edition = {2nd},
 publisher = {Springer Publishing Company, Incorporated},
}
@book{koller,
 author = {Koller, Daphne and Friedman, Nir},
 title = {Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning},
 year = {2009},
 isbn = {0262013193, 9780262013192},
 publisher = {The MIT Press},
}
@Book{bnlearn,
    title = {Bayesian Networks in R with Applications in Systems
      Biology},
    author = {Radhakrishnan Nagarajan and Marco Scutari and Sophie
      Lebre},
    publisher = {Springer},
    address = {New York},
    year = {2013},
    note = {ISBN 978-1461464457},
  }
@book{hastie,
  added-at = {2008-05-16T16:17:42.000+0200},
  address = {New York, NY, USA},
  author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
  biburl = {https://www.bibsonomy.org/bibtex/2f58afc5c9793fcc8ad8389824e57984c/sb3000},
  interhash = {d585aea274f2b9b228fc1629bc273644},
  intrahash = {f58afc5c9793fcc8ad8389824e57984c},
  keywords = {ml statistics},
  publisher = {Springer New York Inc.},
  series = {Springer Series in Statistics},
  timestamp = {2008-05-16T16:17:43.000+0200},
  title = {The Elements of Statistical Learning},
  year = 2001
}
@book{Whittaker,
 author = {Whittaker, Joe},
 title = {Graphical Models in Applied Multivariate Statistics},
 year = {2009},
 isbn = {0470743662, 9780470743669},
 publisher = {Wiley Publishing},
} 
@book{gelman-hill,
  added-at = {2010-03-02T17:25:53.000+0100},
  address = {New York},
  author = {Gelman, Andrew and Hill, Jennifer},
  biburl = {https://www.bibsonomy.org/bibtex/2977dbf8708e1f5ad2a321eb00ec08724/jrennstich},
  booktitle = {Data Analysis Using Regression and Multilevel/Hierarchical Models},
  date-modified = {2010-02-28 21:03:32 -0500},
  interhash = {51719b25389e0e96757c89f059207b1b},
  intrahash = {977dbf8708e1f5ad2a321eb00ec08724},
  keywords = {data methodology},
  pages = {xxii, 625 p},
  publisher = {Cambridge University Press},
  timestamp = {2010-03-07T08:28:08.000+0100},
  title = {Data analysis using regression and multilevel/hierarchical models},
  volume = {Analytical methods for social research},
  year = 2007
}
@book{gelman-bayesian,
  title={Bayesian Data Analysis, Third Edition},
  author={Gelman, A. and Carlin, J.B. and Stern, H.S. and Dunson, D.B. and Vehtari, A. and Rubin, D.B.},
  isbn={9781439840955},
  lccn={2013039507},
  series={Chapman \& Hall/CRC Texts in Statistical Science},
  url={https://books.google.com.mx/books?id=ZXL6AQAAQBAJ},
  year={2013},
  publisher={Taylor \& Francis}
}
@book{bishop,
 author = {Bishop, Christopher M.},
 title = {Pattern Recognition and Machine Learning (Information Science and Statistics)},
 year = {2006},
 isbn = {0387310738},
 publisher = {Springer-Verlag},
 address = {Berlin, Heidelberg},
}
@book{banerjee,
  title={Hierarchical Modeling and Analysis for Spatial Data},
  author={Banerjee, S.},
  isbn={9780203487808},
  lccn={2003062652},
  series={Chapman \& Hall/CRC Monographs on Statistics \& Applied Probability},
  url={https://books.google.com.mx/books?id=YqpZKTp-Wh0C},
  year={2003},
  publisher={CRC Press}
}
@book{soren,
  title={Graphical Models with R},
  author={H{\o}jsgaard, S. and Edwards, D. and Lauritzen, S.},
  isbn={9781461422983},
  lccn={2012931941},
  series={Use R!},
  url={https://books.google.com.mx/books?id=em5QdpWmljAC},
  year={2012},
  publisher={Springer New York}
}
@book{rubin,
  added-at = {2009-10-28T04:42:52.000+0100},
  author = {Rubin, D. B.},
  biburl = {https://www.bibsonomy.org/bibtex/20a72dbca78fbd5bc8ba192f31f5d5f2f/jwbowers},
  date-added = {2007-09-03 22:45:16 -0500},
  date-modified = {2007-09-03 22:45:16 -0500},
  interhash = {ec0d6b5ac7fe288d46c91a4158ed0777},
  intrahash = {0a72dbca78fbd5bc8ba192f31f5d5f2f},
  keywords = {Bayesian Missing Sample approach data; survey;},
  pages = 258,
  publisher = {Wiley},
  timestamp = {2009-10-28T04:43:19.000+0100},
  title = {Multiple Imputation for Nonresponse in Surveys},
  year = 1987
}
@book{kruschke,
  added-at = {2016-12-29T09:25:25.000+0100},
  address = {Boston},
  author = {Kruschke, John},
  biburl = {https://www.bibsonomy.org/bibtex/277f97f6f84d077790b702e30ed86be5f/becker},
  interhash = {5e4043e24f7f58a8de076d7956ca08ea},
  intrahash = {77f97f6f84d077790b702e30ed86be5f},
  keywords = {diss imported inthesis mixedtrails},
  publisher = {Academic Press},
  timestamp = {2017-06-19T10:12:05.000+0200},
  title = {Doing Bayesian Data Analysis (Second Edition)},
  year = 2015
}
@Manual{R-tidyverse,
  title = {tidyverse: Easily Install and Load the 'Tidyverse'},
  author = {Hadley Wickham},
  year = {2017},
  note = {R package version 1.2.1},
  url = {https://CRAN.R-project.org/package=tidyverse},
}
@Manual{R-igraph,
  title = {igraph: Network Analysis and Visualization},
  author = {See AUTHORS file.},
  year = {2019},
  note = {R package version 1.2.4.1},
  url = {https://CRAN.R-project.org/package=igraph},
}
@Manual{R-bnlearn,
  title = {bnlearn: Bayesian Network Structure Learning, Parameter Learning and
Inference},
  author = {Marco Scutari and Robert Ness},
  year = {2019},
  note = {R package version 4.5},
  url = {https://CRAN.R-project.org/package=bnlearn},
}
@Manual{R-gRain,
  title = {gRain: Graphical Independence Networks},
  author = {Søren Højsgaard},
  year = {2016},
  note = {R package version 1.3-0},
  url = {https://CRAN.R-project.org/package=gRain},
}
@Manual{R-Rgraphviz,
  title = {Rgraphviz: Provides plotting capabilities for R graph objects},
  author = {Kasper Daniel Hansen and Jeff Gentry and Li Long and Robert Gentleman and Seth Falcon and Florian Hahne and Deepayan Sarkar},
  year = {2019},
  note = {R package version 2.30.0},
}
@Manual{R-gRbase,
  title = {gRbase: A Package for Graphical Modelling in R},
  author = {Søren Højsgaard},
  year = {2019},
  note = {R package version 1.8-4.5},
  url = {https://CRAN.R-project.org/package=gRbase},
}
@Manual{R-gRim,
  title = {gRim: Graphical Interaction Models},
  author = {Søren Højsgaard},
  year = {2017},
  note = {R package version 0.2-0},
  url = {https://CRAN.R-project.org/package=gRim},
}
@Manual{R-HistData,
  title = {HistData: Data Sets from the History of Statistics and Data Visualization},
  author = {Michael Friendly},
  year = {2018},
  note = {R package version 0.8-4},
  url = {https://CRAN.R-project.org/package=HistData},
}
@Manual{R-mi,
  title = {mi: Missing Data Imputation and Model Checking},
  author = {Yu-Sung Su and Ben Goodrich and Jon Kropko},
  year = {2015},
  note = {R package version 1.0},
  url = {https://CRAN.R-project.org/package=mi},
}
@Manual{R-visdat,
  title = {visdat: Preliminary Visualisation of Data},
  author = {Nicholas Tierney},
  year = {2019},
  note = {R package version 0.5.3},
  url = {https://CRAN.R-project.org/package=visdat},
}
@Manual{R-ggplot2,
  title = {ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics},
  author = {Hadley Wickham and Winston Chang and Lionel Henry and Thomas Lin Pedersen and Kohske Takahashi and Claus Wilke and Kara Woo and Hiroaki Yutani},
  year = {2019},
  note = {R package version 3.2.1},
  url = {https://CRAN.R-project.org/package=ggplot2},
}
@Manual{R-dplyr,
  title = {dplyr: A Grammar of Data Manipulation},
  author = {Hadley Wickham and Romain François and Lionel Henry and Kirill Müller},
  year = {2019},
  note = {R package version 0.8.3},
  url = {https://CRAN.R-project.org/package=dplyr},
}
@Manual{R-purrr,
  title = {purrr: Functional Programming Tools},
  author = {Lionel Henry and Hadley Wickham},
  year = {2019},
  note = {R package version 0.3.3},
  url = {https://CRAN.R-project.org/package=purrr},
}
@Manual{R-tidyr,
  title = {tidyr: Tidy Messy Data},
  author = {Hadley Wickham and Lionel Henry},
  year = {2019},
  note = {R package version 1.0.0},
  url = {https://CRAN.R-project.org/package=tidyr},
}