Capítulo 15 Referências

Agresti, Alan. 2002. Categorical Data Analysis. Vol. 482. John Wiley & Sons.
Ah-Pine, Julien, and Xinyu Wang. 2016. “Similarity Based Hierarchical Clustering with an Application to Text Collections.” In Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings 15, 320–31. Springer. https://hal.science/hal-01504678/document.
Akaike, Hirotugu. 1974. “A New Look at the Statistical Model Identification.” In Selected Papers of Hirotugu Akaike, 215–22. Springer.
Albert, Jim. 2009. Bayesian Computation with R. Springer.
Allaire, JJ, and François Chollet. 2021. Keras: R Interface to ’Keras’. https://keras.rstudio.com.
Altman, Douglas G. 1990. Practical Statistics for Medical Research. CRC press.
Amos, DE, and WG Bulgren. 1972. “Computation of a Multivariate f Distribution.” Mathematics of Computation 26 (117): 255–64. https://www.ams.org/journals/mcom/1972-26-117/S0025-5718-1972-0298881-9/S0025-5718-1972-0298881-9.pdf.
Anderson, Edgar. 1935. “The Irises of the Gaspe Peninsula.” Bull. Am. Iris Soc. 59: 2–5.
Asimov, Daniel. 1985. “The Grand Tour: A Tool for Viewing Multidimensional Data.” SIAM Journal on Scientific and Statistical Computing 6 (1): 128–43. https://doi.org/10.1137/0906011.
Bang-Jensen, Jørgen, and Gregory Z Gutin. 2008. Digraphs: Theory, Algorithms and Applications. Springer Science & Business Media. http://www.cs.rhul.ac.uk/books/dbook/mainNP.pdf.
Barrett, Tyson, Matt Dowle, Arun Srinivasan, Jan Gorecki, Michael Chirico, and Toby Hocking. 2024. Data.table: Extension of ‘Data.frame‘. https://CRAN.R-project.org/package=data.table.
Bauer, Jan O, and Bernhard Drabant. 2021. “Principal Loading Analysis.” Journal of Multivariate Analysis 184: 104754. https://arxiv.org/abs/2007.05215.
Bayes, Thomas. 1763. “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.” Philosophical Transactions of the Royal Society of London, no. 53: 370–418. https://www.ias.ac.in/article/fulltext/reso/008/04/0080-0088.
Belsley, David A, Edwin Kuh, and Roy E Welsch. 2004. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. John Wiley & Sons.
Beran, Rudolf, and Gilles R Ducharme. 1991. Asympotic Theory for Bootstrap Methods in Statistics. ?
Berg, Sven. 1996. “Condorcet’s Jury Theorem and the Reliability of Majority Voting.” Group Decision and Negotiation 5 (3): 229–38. https://link.springer.com/article/10.1007/BF02400945.
Bishop, Christopher M. 1999. “Bayesian PCA.” In Advances in Neural Information Processing Systems, 382–88. https://papers.nips.cc/paper/1549-bayesian-pca.pdf.
Blei, David M, Alp Kucukelbir, and Jon D McAuliffe. 2017. “Variational Inference: A Review for Statisticians.” Journal of the American Statistical Association 112 (518): 859–77. https://doi.org/10.1080/01621459.2017.1285773.
Blei, David M, Andrew Y Ng, and Michael I Jordan. 2003. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 3 (Jan): 993–1022. https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf.
Box, George EP. 1949. “A General Distribution Theory for a Class of Likelihood Criteria.” Biometrika 36 (3/4): 317–46. https://www.jstor.org/stable/pdf/2332671.pdf.
———. 1950. “Problems in the Analysis of Growth and Wear Curves.” Biometrics 6 (4): 362–89.
———. 1979. “Robustness in the Strategy of Scientific Model Building.” In Robustness in Statistics, 201–36. Elsevier. https://apps.dtic.mil/sti/pdfs/ADA070213.pdf.
Box, George EP, and George C Tiao. 1973. Bayesian Inference in Statistical Analysis. John Wiley & Sons.
Breiman, Leo. 1996a. “Bagging Predictors.” Machine Learning 24 (2): 123–40. https://link.springer.com/content/pdf/10.1007/BF00058655.pdf.
———. 1996b. “Bias, Variance, and Arcing Classifiers.” University of California, Berkeley. https://www.stat.berkeley.edu/users/breiman/arcall96.pdf.
———. 1996c. “Heuristics of Instability and Stabilization in Model Selection.” The Annals of Statistics 24 (6): 2350–83. https://www.jstor.org/stable/2242688.
———. 2001. “Random Forests.” Machine Learning 45 (1): 5–32. https://link.springer.com/content/pdf/10.1023/A:1010933404324.pdf.
Breiman, Leo, Jerome Friedman, Charles J Stone, and Richard A Olshen. 1984. Classification and Regression Trees. CRC press.
Bryson Jr, Arthur E, Walter F Denham, and Stewart E Dreyfus. 1963. “Optimal Programming Problems with Inequality Constraints I: Necessary Conditions for Extremal Solutions.” AIAA Journal 1 (11): 2544–50. https://doi.org/10.2514/3.2107.
Buchta, Christian, and Michael Hahsler. 2019. Cba: Clustering for Business Analytics. https://CRAN.R-project.org/package=cba.
Campbell, JT. 1934. “The Poisson Correlation Function.” Proceedings of the Edinburgh Mathematical Society 4 (1): 18–26. https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0013091500024135.
Canty, Angelo, and B. D. Ripley. 2022. boot: Bootstrap R (S-Plus) Functions. https://cran.r-project.org/package=boot.
Cardot, Hervé. 2021. Gmedian: Geometric Median, k-Medians Clustering and Robust Median PCA. https://CRAN.R-project.org/package=Gmedian.
Cardot, Hervé, Peggy Cénac, and Jean-Marie Monnez. 2012. “A Fast and Recursive Algorithm for Clustering Large Datasets with k-Medians.” Computational Statistics & Data Analysis 56 (6): 1434–49. https://doi.org/10.1016/j.csda.2011.11.019.
Cardot, Hervé, Peggy Cénac, Pierre-André Zitt, et al. 2013. “Efficient and Fast Estimation of the Geometric Median in Hilbert Spaces with an Averaged Stochastic Gradient Algorithm.” Bernoulli 19 (1): 18–43. https://projecteuclid.org/download/pdfview_1/euclid.bj/1358531739.
Cattell, Raymond B. 1966. “The Scree Test for the Number of Factors.” Multivariate Behavioral Research 1 (2): 245–76. https://doi.org/10.1207/s15327906mbr0102_10.
Census, United States. Bureau of the. 1975. Statistical Abstract of the United States, 1975. Hoover’s. https://books.google.ch/books?id=zl9qAAAAMAAJ&pg=PA20#v=onepage&q&f=false.
Chambers, John M., and Trevor J. Hastie. 1993. Statistical Models in s. Chapman & Hall, London.
Chatterjee, Samprit, and Ali S Hadi. 2012. Regression Analysis by Example. John Wiley & Sons.
Cody, William J. 1988. “Algorithm 665: Machar: A Subroutine to Dynamically Determined Machine Parameters.” ACM Transactions on Mathematical Software (TOMS) 14 (4): 303–11. https://doi.org/10.1145/50063.51907.
Condorcet, Marquis de. 1785. Essai Sur l’application de l’analyse à La Probabilité Des Décisions Rendues à La Pluralité Des Voix. Paris, Imprimerie Royale. https://archive.org/details/essaisurlapplica00cond/page/n6.
Cortes, Corinna, and Vladimir Vapnik. 1995. “Support-Vector Networks.” Machine Learning 20 (3): 273–97. https://link.springer.com/article/10.1007/BF00994018.
Cortez, Paulo, and Anı́bal de Jesus Raimundo Morais. 2007. “A Data Mining Approach to Predict Forest Fires Using Meteorological Data.” http://www3.dsi.uminho.pt/pcortez/fires.pdf.
Cramer, Jan Salomon. 2002. “The Origins of Logistic Regression.” https://www.econstor.eu/bitstream/10419/86100/1/02119.pdf.
Cybenko, George. 1989. “Approximation by Superpositions of a Sigmoidal Function.” Mathematics of Control, Signals and Systems 2 (4): 303–14. http://www.vision.jhu.edu/teaching/learning/deeplearning18/assets/Cybenko-89.pdf.
Dalgaard, Peter. 2008. Introductory Statistics with r. Springer New York. http://www.academia.dk/BiologiskAntropologi/Epidemiologi/PDF/Introductory_Statistics_with_R__2nd_ed.pdf.
Davison, Anthony Christopher, and David Victor Hinkley. 1997. Bootstrap Methods and Their Application. Cambridge University Press. https://github.com/Johnnyboycurtis/TSI/blob/master/doc/Davison%2C%20Hinkley%20-Bootstrap%20Methods%20and%20their%20Application.pdf.
Drost, HG. 2018. “Philentropy: Information Theory and Distance Quantification with R.” Journal of Open Source Software 3 (26): 765. https://joss.theoj.org/papers/10.21105/joss.00765.
Dua, Dheeru, and Casey Graff. 2019. UCI Machine Learning Repository.” University of California, Irvine, School of Information; Computer Sciences. http://archive.ics.uci.edu/ml.
Duda, Richard O, Peter E Hart, and David G Stork. 2001. Pattern Classification. John Wiley & Sons, Inc.
Efron, Bradley. 1979. “Bootstrap Methods: Another Look at the Jackknife.” Annals of Statistics 7 (1): 1–26. http://www.jstor.org/stable/2958830.
Efron, Bradley, and Trevor Hastie. 2016. Computer Age Statistical Inference: Algorithms, Evidence, and Data Science. Cambridge University Press. Cambridge, UK. https://hastie.su.domains/CASI/.
Efroymson, MA. 1960. “Multiple Regression Analysis.” Mathematical Methods for Digital Computers, 191–203.
Everitt, Brian. 2005. An r and s-PLUS Companion to Multivariate Analysis. Springer.
Everitt, Brian S, and Anders Skrondal. 2006. “The Cambridge Dictionary of Statistics.” https://www.cambridge.org/9780521766999.
Ezekiel, Mordecai. 1930. “Methods of Correlation Analysis.” https://ia801506.us.archive.org/5/items/in.ernet.dli.2015.263278/2015.263278.Methods-Of.pdf.
Far From Alaska. 2014. Rolling Dice.” https://www.youtube.com/watch?v=h6ZzhUqeU90.
Farrar, Donald E, and Robert R Glauber. 1967. “Multicollinearity in Regression Analysis: The Problem Revisited.” The Review of Economic and Statistics, 92–107. https://www.jstor.org/stable/pdf/1937887.pdf?casa_token=JXwdzUDd87wAAAAA:tRc7XNasgpfWvCiiLJ-cu19tCEU31uqBau0uvIKg1QByBg5aeNxHiwCUj-uprWrlddYVQNL7oj4Q0Lumm6bbddU6FV-DxWvdnYEnsZxzUWWk-Rt6bq4.
Fisher, N. I., and P. Switzer. 1985. “Chi-Plots for Assessing Dependence.” Biometrika 72 (2): 253–65. https://www.jstor.org/stable/2336078.
———. 2001. “Graphical Assessment of Dependence: Is a Picture Worth 100 Tests?” The American Statistician 55 (3): 233–39. https://doi.org/10.1198/000313001317098248.
Fisher, Ronald A. 1922. “On the Mathematical Foundations of Theoretical Statistics.” Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character 222 (594-604): 309–68. https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.1922.0009.
———. 1936. “The Use of Multiple Measurements in Taxonomic Problems.” Annals of Eugenics 7 (2): 179–88. http://rcs.chemometrics.ru/Tutorials/classification/Fisher.pdf.
———. 1938. “The Statistical Utilization of Multiple Measurements.” Annals of Eugenics 8 (4): 376–86. https://digital.library.adelaide.edu.au/dspace/bitstream/2440/15232/1/155.pdf.
———. 1940. “The Precision of Discriminant Functions.” Annals of Eugenics 10 (1): 422–29. https://hekyll.services.adelaide.edu.au/dspace/bitstream/2440/15240/1/175.pdf.
Fokoue, E. 2020. “Speaker Accent Recognition Data Set.” University of California, Irvine, School of Information; Computer Sciences. https://archive.ics.uci.edu/ml/datasets/Speaker+Accent+Recognitions.
Forgy, Edward W. 1965. “Cluster Analysis of Multivariate Data: Efficiency Versus Interpretability of Classifications.” Biometrics 21: 768–69.
Foster, Jason. 2020. Roll: Rolling and Expanding Statistics. https://CRAN.R-project.org/package=roll.
Freund, Yoav, and Robert E Schapire. 1997. “A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting.” Journal of Computer and System Sciences 55 (1): 119–39. https://www.sciencedirect.com/science/article/pii/S002200009791504X/pdf?md5=e471323f84c2764746c94ba206a9bc47&pid=1-s2.0-S002200009791504X-main.pdf&_valck=1.
Freund, Yoav, and Robert E. Schapire. 1996. “Experiments with a New Boosting Algorithm.” In Icml, 96:148–56. Citeseer. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.51.6252&rep=rep1&type=pdf.
Friedman, Jerome H, and Werner Stuetzle. 1981. “Projection Pursuit Regression.” Journal of the American Statistical Association 76 (376): 817–23. https://doi.org/10.2307/2287576.
Friedman, Jerome H, and John W Tukey. 1974. “A Projection Pursuit Algorithm for Exploratory Data Analysis.” IEEE Transactions on Computers 100 (9): 881–90. https://ieeexplore.ieee.org/document/1672644/.
Friendly, Michael, John Fox, and Phil Chalmers. 2022. Matlib: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics. https://CRAN.R-project.org/package=matlib.
Gamerman, Dani, and Hedibert F Lopes. 2006. Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference. CRC press.
Gelfand, Alan E, and Adrian FM Smith. 1990. “Sampling-Based Approaches to Calculating Marginal Densities.” Journal of the American Statistical Association 85 (410): 398–409. https://www.tandfonline.com/doi/abs/10.1080/01621459.1990.10476213.
Geman, Stuart, and Donald Geman. 1984. “Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images.” IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 6: 721–41. https://cs.uwaterloo.ca/~mannr/cs886-w10/GemanandGeman84.pdf.
Genz, Alan. 1992. “Numerical Computation of Multivariate Normal Probabilities.” Journal of Computational and Graphical Statistics 1 (2): 141–49. https://doi.org/10.2307/1390838.
Genz, Alan, and Frank Bretz. 2009. Computation of Multivariate Normal and t Probabilities. Lecture Notes in Statistics. Heidelberg: Springer-Verlag.
Genz, Alan, Frank Bretz, Tetsuhisa Miwa, Xuefei Mi, Friedrich Leisch, Fabian Scheipl, and Torsten Hothorn. 2021. mvtnorm: Multivariate Normal and t Distributions. https://CRAN.R-project.org/package=mvtnorm.
Glur, Christoph. 2020. Data.tree: General Purpose Hierarchical Data Structure. https://CRAN.R-project.org/package=data.tree.
Goldberg, Kenneth M, and Boris Iglewicz. 1992. “Bivariate Extensions of the Boxplot.” Technometrics 34 (3): 307–20. https://www.jstor.org/stable/1270037.
González, Ignacio, and Sébastien Déjean. 2021. CCA: Canonical Correlation Analysis. https://CRAN.R-project.org/package=CCA.
Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning. MIT Press. http://www.deeplearningbook.org.
Guha, Sudipto, Rajeev Rastogi, and Kyuseok Shim. 2000. ROCK: A Robust Clustering Algorithm for Categorical Attributes.” Information Systems 25 (5): 345–66. https://doi.org/10.1016/S0306-4379(00)00022-3.
Gunst, Richard F, and John T Webster. 1973. “Density Functions of the Bivariate Chi-Square Distribution.” Journal of Statistical Computation and Simulation 2 (3): 275–88. http://dx.doi.org/10.1080/00949657308810052.
Hand, David J, and Keming Yu. 2001. “Idiot’s Bayes—Not so Stupid After All?” International Statistical Review 69 (3): 385–98. https://www.researchgate.net/profile/David-Hand-2/publication/229731942_Idiot's_Bayes_Not_So_Stupid_after_All/links/569d4f9708aed27a702fa0a3/Idiots-Bayes-Not-So-Stupid-after-All.pdf.
Hartigan, John A. 1975. Clustering Algorithms. John Wiley & Sons, Inc.
Hartigan, John A, and Manchek A Wong. 1979. “Algorithm AS 136: A k-Means Clustering Algorithm.” Journal of the Royal Statistical Society. Series C (Applied Statistics) 28 (1): 100–108. https://www.labri.fr/perso/bpinaud/userfiles/downloads/hartigan_1979_kmeans.pdf.
Harvey, Andrew C, and Simon Peters. 1990. “Estimation Procedures for Structural Time Series Models.” Journal of Forecasting 9 (2): 89–108. http://www.stat.yale.edu/~lc436/papers/Harvey_Peters1990.pdf.
Hastie, Trevor, and Robert Tibshirani. 1986. “[Generalized Additive Models]: Comment.” Statistical Science 1 (3): 297–318.
Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Science & Business Media. https://web.stanford.edu/~hastie/Papers/ESLII.pdf.
Hastings, W Keith. 1970. “Monte Carlo Sampling Methods Using Markov Chains and Their Applications.” https://www.jstor.org/stable/pdf/2334940.pdf?casa_token=ab0bhhoQvbcAAAAA:1ksPSl_D_2e_zY3ijO30RLGwUFF3KYeF0b6gBH5cJemjei8tDnceRX7CC0h-sREBZFTjZGwmQHCjObmgge83_a-UpFBV9rS_vl36pq5MHvQF6DlrS7o.
Hinton, Geoffrey. 2022. “The Forward-Forward Algorithm: Some Preliminary Investigations.” arXiv Preprint arXiv:2212.13345. https://arxiv.org/pdf/2212.13345.
Holgate, Philip. 1964. “Estimation for the Bivariate Poisson Distribution.” Biometrika 51 (1-2): 241–87. https://www.jstor.org/stable/pdf/2334210.pdf?casa_token=Efi4yUK5tQoAAAAA:x8STlVs7SeAcbkyKSvKLupSgKGeGf_URWtHb0Kt8FSk1C51iaRqOcNEZD2MyMPPduxB-6NVJK3eqxjD3OXXW9AfqCnXSfS4wdXFcuASNt3ZDM7eyVMY.
Hornik, Kurt, Christian Buchta, and Achim Zeileis. 2009. “Open-Source Machine Learning: R Meets Weka.” Computational Statistics 24 (2): 225–32. https://doi.org/10.1007/s00180-008-0119-7.
Hornik, Kurt, Maxwell Stinchcombe, and Halbert White. 1989. “Multilayer Feedforward Networks Are Universal Approximators.” Neural Networks 2 (5): 359–66. https://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Fall.2016/notes/Sonia_Hornik.pdf.
Hotelling, Harold. 1931. “The Generalization of Student’s Ratio.” The Annals of Mathematical Statistics Vol. 2 (Number 3). https://doi.org/10.1214/aoms/1177732979.
———. 1933. “Analysis of a Complex of Statistical Variables into Principal Components.” Journal of Educational Psychology 24 (6): 417. https://psycnet.apa.org/fulltext/1934-00645-001.pdf.
———. 1935. “The Most Predictable Criterion.” Journal of Educational Psychology 26 (2): 139. https://psycnet.apa.org/doi/10.1037/h0058165.
Huang, Zhexue. 1997. “A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining.” DMKD 3 (8): 34–39. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.134.83&rep=rep1&type=pdf.
Hyndman, Rob. 2020. Fpp2: Data for "Forecasting: Principles and Practice" (2nd Edition). https://CRAN.R-project.org/package=fpp2.
———. 2021. Fpp3: Data for "Forecasting: Principles and Practice" (3rd Edition). https://CRAN.R-project.org/package=fpp3.
Hyndman, Rob J., and George Athanasopoulos. 2021. Forecasting: Principles and Practice, 3rd Ed. OTexts. https://otexts.com/fpp3/.
Hyndman, Rob J, and Yeasmin Khandakar. 2008. “Automatic Time Series Forecasting: The Forecast Package for R.” Journal of Statistical Software 27 (3): 1–22. https://doi.org/10.18637/jss.v027.i03.
IBM. 2011. IBM SPSS Modeler CRISP-DM Guide. https://inseaddataanalytics.github.io/INSEADAnalytics/CRISP_DM.pdf.
Imdad, M. U., M. Aslam, S. Altaf, and A. Munir. 2019. “Some New Diagnostics of Multicollinearity in Linear Regression Model.” Sains Malaysiana 48(9): 2051–60. http://dx.doi.org/10.17576/jsm-2019-4809-26.
Izbicki, Rafael, and Tiago Mendonça dos Santos. 2020. Aprendizado de Máquina: Uma Abordagem Estatística. http://www.rizbicki.ufscar.br/ame/.
Jaynes, Edwin T. 1963. “Information Theory and Statistical Mechanics (Notes by the Lecturer).” Statistical Physics 3, 181.
Johnson, Norman Lloyd, Samuel Kotz, and Narayanaswamy Balakrishnan. 1997. Discrete Multivariate Distributions. John Wiley & Sons, Inc.
Johnson, Richard A., and Dean W. Wichern. 1998. Applied Multivariate Statistical Analysis. Prentice Hall Upper Saddle River, New Jersey. http://primo-pmtna01.hosted.exlibrisgroup.com/PUC01:PUC01:puc01000172245.
Jones, M Chris, and Robin Sibson. 1987. “What Is Projection Pursuit?” Journal of the Royal Statistical Society: Series A (General) 150 (1): 1–18. https://doi.org/10.2307/2981662.
Jordan, Camille. 1875. “Essai Sur La géométrie à \(n\) Dimensions.” Bulletin de La Société Mathématique de France 3: 103–74. https://doi.org/10.24033/bsmf.90.
Kałędkowski, Dawid. 2024. Runner: Running Operations for Vectors. https://CRAN.R-project.org/package=runner.
Karas, Marta, and Jacek Urbanek. 2019. Runstats: Fast Computation of Running Statistics for Time Series. https://CRAN.R-project.org/package=runstats.
Karlis, Dimitris, and Ioannis Ntzoufras. 2003. “Analysis of Sports Data by Using Bivariate Poisson Models.” Journal of the Royal Statistical Society: Series D (The Statistician) 52 (3): 381–93. https://rss.onlinelibrary.wiley.com/doi/pdf/10.1111/1467-9884.00366.
Kaufman, P., and P. J. Rousseeuw. 1987. “Clustering by Means of Medoids.” https://www.researchgate.net/publication/243777819_Clustering_by_Means_of_Medoids.
Kawamura, Kazutomo. 1984. “Direct Calculation of Maximum Likelihood Estimator for the Bivariate Poisson Distribution.” Kodai Mathematical Journal 7 (2): 211–21. https://www.jstage.jst.go.jp/article/kodaimath1978/7/2/7_2_211/_pdf.
Kent, JT, John Bibby, and KV Mardia. 1979. Multivariate Analysis. Academic Press Amsterdam.
Kohavi, Ron. 1996. “Scaling up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid.” In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, 96:202–7. http://robotics.stanford.edu/~ronnyk/nbtree.pdf.
Korb, Kevin B, and Ann E Nicholson. 2011. Bayesian Artificial Intelligence. 2nd ed. CRC press.
Kotz, Samuel, N Balakrishnan, and Norman L Johnson. 2000. “Continuous Multivariate Distributions. Vol. 1. Models and Applications.” Wiley-Interscience, New York.
Kotz, Samuel, and Saralees Nadarajah. 2004. Multivariate t-Distributions and Their Applications. Cambridge University Press. https://doi.org/10.1017/CBO9780511550683.
Kowarik, Alexander, and Matthias Templ. 2016. “Imputation with the R Package VIM.” Journal of Statistical Software 74 (7): 1–16. https://doi.org/10.18637/jss.v074.i07.
Kuhn, Max. 2022. Caret: Classification and Regression Training. https://CRAN.R-project.org/package=caret.
Kuhn, Max, and Ross Quinlan. 2021. C50: C5.0 Decision Trees and Rule-Based Models. https://CRAN.R-project.org/package=C50.
Kullback, Solomon. 1978. Information Theory and Statistics. Dover Publications, Inc. https://store.doverpublications.com/0486696847.html.
Kullback, Solomon, and Richard A Leibler. 1951. “On Information and Sufficiency.” The Annals of Mathematical Statistics 22 (1): 79–86. https://www.jstor.org/stable/pdf/2236703.pdf?casa_token=Uqm6dzNWzOQAAAAA:TMwXT3Ql9DzNhg6ey9XaMyrEhmABcetYSLzf7c3IW_un9Lrmc1Z__z5_dXi71Gy7cHbI-AOceYSbXna_F9jz82sqnXROTiah6ooJibU8DzfIHHnnqzFz.
Lê, Sébastien, Julie Josse, and François Husson. 2008. FactoMineR: A Package for Multivariate Analysis.” Journal of Statistical Software 25 (1): 1–18. https://doi.org/10.18637/jss.v025.i01.
Lee, Eun-Kyung. 2018. PPtreeViz: An R Package for Visualizing Projection Pursuit Classification Trees.” Journal of Statistical Software 83 (8): 1–30. https://doi.org/10.18637/jss.v083.i08.
Legendre, Pierre, and Louis Legendre. 2012. Numerical Ecology. Elsevier. https://ds.amu.edu.et/xmlui/bitstream/handle/123456789/6874/Numerical%20Ecology.pdf.
Lehmann, Erich L, and Joseph P Romano. 2005. Testing Statistical Hypotheses, 3rd Edition. Springer. https://link.springer.com/book/10.1007/0-387-27605-X.
Lloyd, Stuart P. 1957. “Least Squares Quantization in PCM.” Tecnical Note at Bell Laboratories in 1957, Published After in IEEE Transactions on Information Theory in 1982 28 (2): 129–37. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1056489.
Maathuis, Marloes, Mathias Drton, Steffen Lauritzen, and Martin Wainwright. 2018. Handbook of Graphical Models. CRC Press. https://stat.ethz.ch/~maathuis/papers/Handbook.pdf.
MacQueen, James. 1967. “Some Methods for Classification and Analysis of Multivariate Observations.” In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 1:281–97. 14. Oakland, CA, USA. https://sci2s.ugr.es/keel/pdf/algorithm/congreso/1967-MacQueen-MSP.pdf.
McCullagh, Peter, and John Ashworth Nelder. 1989. Generalized Linear Models. Chapman Hall, London. 2nd ed. http://www.utstat.toronto.edu/~brunner/oldclass/2201s11/readings/glmbook.pdf.
McCulloch, Warren S., and Walter Pitts. 1943. “A Logical Calculus of the Ideas Immanent in Nervous Activity.” The Bulletin of Mathematical Biophysics 5 (4): 115–33. https://www.cs.cmu.edu/~./epxing/Class/10715/reading/McCulloch.and.Pitts.pdf.
McNeil, Donald R. 1977. “Interactive Data Analysis: A Practical Primer.” (No Title). https://archive.org/details/interactivedataa0000mcne.
Menzel, Uwe. 2022. CCP: Significance Tests for Canonical Correlation Analysis (CCA). https://CRAN.R-project.org/package=CCP.
Metropolis, Nicholas, Arianna W Rosenbluth, Marshall N Rosenbluth, Augusta H Teller, and Edward Teller. 1953. “Equation of State Calculations by Fast Computing Machines.” The Journal of Chemical Physics 21 (6): 1087–92. https://doi.org/10.1063/1.1699114.
Metropolis, Nicholas, and Stanislaw Ulam. 1949. The Monte Carlo Method.” Journal of the American Statistical Association 44 (247): 335–41. https://doi.org/10.2307/2280232.
Meyer, Paul L. 1970. Introductory Probability and Statistical Applications. 2nd ed. Addison-Wesley Publishing Company.
Milborrow, Stephen. 2020. Rpart.plot: Plot ’Rpart’ Models: An Enhanced Version of ’Plot.rpart’. https://CRAN.R-project.org/package=rpart.plot.
Modigliani, Franco, and Lucas Papademos. 1975. “Targets for Monetary Policy in the Coming Year.” Brookings Papers on Economic Activity 1975 (1): 141–65. http://pombo.free.fr/modipapa.pdf.
Moivre, Abraham de. 1730. Miscellanea Analytica de Seriebus Et Quadraturis. J. Tonson & J. Watts. https://archive.org/details/bub_gb_TFX1165yEc4C.
Montmort, Pierre Rémond de. 1708. Essay d’analyse Sur Les Jeux de Hazard. J. Quillau. https://archive.org/details/ldpd_6444894_000/mode/2up.
Moreira, Adriano, and Maribel Yasmina Santos. 2007. “Concave Hull: A k-Nearest Neighbours Approach for the Computation of the Region Occupied by a Set of Points.”
Murtagh, Fionn, and Pedro Contreras. 2011. “Methods of Hierarchical Clustering.” CoRR abs/1105.0121. http://arxiv.org/abs/1105.0121.
Murtagh, Fionn, and Pierre Legendre. 2014. “Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?” Journal of Classification 31: 274–95. https://link.springer.com/content/pdf/10.1007/s00357-014-9161-z.pdf.
Nagarajan, Radhakrishnan, Marco Scutari, and Sophie Lèbre. 2013. “Bayesian Networks in R.” Springer 122: 125–27.
Nason, Guy P. 2001. “Robust Projection Indices.” Journal of the Royal Statistical Society: Series B (Statistical Methodology) 63 (3): 551–67. https://www.jstor.org/stable/2680588.
———. 2006. “On the Sum of t and Gaussian Random Variables.” Statistics & Probability Letters 76 (12): 1280–86. https://doi.org/10.1016/j.spl.2006.01.006.
Neter, John, Michael H Kutner, Christopher J Nachtsheim, and William Wasserman. 2005. Applied Linear Statistical Models. 5th ed. McGraw Hill/Irwin New York. https://www.ime.unicamp.br/~dias/John%20Neter%20Applied%20linear%20regression%20models.pdf.
O’Hagan, Anthony, and Jonathan Forster. 1994. “Kendall’s Advanced Theory of Statistics: Volume 2B.” Bayesian Inference.
Ossani, Paulo Cesar, and Marcelo Angelo Cirillo. 2021. Projection Pursuit. https://CRAN.R-project.org/package=Pursuit.
Patel, Jagdish K., and Campbell B. Read. 1982. “Handbook of the Normal Distribution.” Marcel Dekker, New York.
Paula, Gilberto Alvarenga. 2013. Modelos de Regressão: Com Apoio Computacional. IME-USP São Paulo. https://www.ime.usp.br/~giapaula/texto_2013.pdf.
Paulino, Carlos Daniel Mimoso, Maria Antónia Amaral Turkman, and Bento Murteira. 2003. Estatı́stica Bayesiana. Fundação Calouste Gulbenkian, Lisboa. http://primo-pmtna01.hosted.exlibrisgroup.com/PUC01:PUC01:puc01000334509.
Pearl, Judea. 1988. “Probabilistic Reasoning in Intelligent Systems. Representation & Reasoning.” Morgan Kaufmann Publishers San Mateo, CA.
Pearson, Karl. 1901. “On Lines and Planes of Closest Fit to Systems of Points in Space.” Philosophical Magazine 2 (11): 559–72. http://pca.narod.ru/pearson1901.pdf.
Peng, Roger D. 2022. Advanced Statistical Computing. Work in Progress. https://bookdown.org/rdpeng/advstatcomp/.
Peters, Andrea, and Torsten Hothorn. 2021. Ipred: Improved Predictors. https://CRAN.R-project.org/package=ipred.
Pettitt, Anthony N, and Candice M Hincksman. 2013. Introduction to MCMC.” Case Studies in Bayesian Statistical Modelling and Analysis, 17–29.
Pole, Andy, Mike West, and Jeff Harrison. 1994. Applied Bayesian Forecasting and Time Series Analysis. Chapman; Hall/CRC.
Pourzanjani, Arya A, Richard M Jiang, and Linda R Petzold. 2017. “Improving the Identifiability of Neural Networks for Bayesian Inference.” In NIPS Workshop on Bayesian Deep Learning, 4:29. http://bayesiandeeplearning.org/2017/papers/15.pdf.
Preparata, Franco P., and Se June Hong. 1977. “Convex Hulls of Finite Sets of Points in Two and Three Dimensions.” Communications of the ACM 20 (2): 87–93. https://dl.acm.org/doi/pdf/10.1145/359423.359430.
Quinlan, J. Ross. 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, Inc., San Mateo, CA. https://books.google.com.br/books/about/C4_5.html?id=HExncpjbYroC.
Ripley, Brian D. 2007. Pattern Recognition and Neural Networks. Cambridge University Press.
———. 2019. Tree: Classification and Regression Trees. https://CRAN.R-project.org/package=tree.
Robert, Christian P, and George Casella. 2010. Introducing monte carlo methods with R. Springer.
Robert Tibshirani. Original R port by Friedrich Leisch, Trevor Hastie &, Kurt Hornik, and Brian D. Ripley. Balasubramanian Narasimhan has contributed to the upgrading of the code. 2020. Mda: Mixture and Flexible Discriminant Analysis. https://CRAN.R-project.org/package=mda.
Rosenblatt, Frank. 1958. “The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain.” Psychological Review 65 (6): 386. https://psycnet.apa.org/fulltext/1959-09865-001.pdf.
———. 1962. “Principles of Neurodynamics: Perceptrons and the Theory Of.” Brain Mechanisms, 555–59. https://safari.ethz.ch/digitaltechnik/spring2019/lib/exe/fetch.php?media=neurodynamics1962rosenblatt.pdf.
Rousseeuw, Peter J, and L Kaufman. 1990. “Finding Groups in Data.” Hoboken: Wiley Online Library. https://onlinelibrary.wiley.com/doi/pdf/10.1002/9780470316801.
Rousseeuw, Peter J, Ida Ruts, and John W Tukey. 1999. “The Bagplot: A Bivariate Boxplot.” The American Statistician 53 (4): 382–87. https://wis.kuleuven.be/statdatascience/robust/papers/1999/rousseeuwrutstukey-bagplot-amerstat-1999-bw.pdf.
Rumelhart, David E, Geoffrey E Hinton, and Ronald J Williams. 1985. “Learning Internal Representations by Error Propagation.” California Univ San Diego La Jolla Inst for Cognitive Science.
Schapire, Robert E., and Yoav Freund. 1995. “A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting.” In Second European Conference on Computational Learning Theory, 23–37.
Schramm, Michael. 2020. Tbrf: Time-Based Rolling Functions. https://CRAN.R-project.org/package=tbrf.
Schwarz, Gideon. 1978. “Estimating the Dimension of a Model.” The Annals of Statistics, 461–64. https://doi.org/10.1214/aos/1176344136.
Scutari, Marco. 2010. “Learning Bayesian Networks with the bnlearn R Package.” Journal of Statistical Software 35 (3): 1–22. https://doi.org/10.18637/jss.v035.i03.
Shannon, Claude E. 1948. “A Mathematical Theory of Communication.” The Bell System Technical Journal 27 (3): 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x.
Siebert, Julien, Janek Groß, and Christof Schroth. 2021. “A Systematic Review of Python Packages for Time Series Analysis.” https://siebert-julien.github.io/time-series-analysis-python/.
Signorell, Andri. 2024. DescTools: Tools for Descriptive Statistics. https://CRAN.R-project.org/package=DescTools.
Sokal, Robert R, and F James Rohlf. 1962. “The Comparison of Dendrograms by Objective Methods.” Taxon, 33–40. https://www.jstor.org/stable/pdf/1217208.pdf.
Sparapani, Rodney, Charles Spanbauer, and Robert McCulloch. 2021. “Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART r Package.” Journal of Statistical Software 97 (1): 1–66. https://www.jstatsoft.org/article/view/v097i01.
Spedicato, Giorgio Alfredo. 2017. “Discrete Time Markov Chains with r.” The R Journal, July. https://journal.r-project.org/archive/2017/RJ-2017-036/index.html.
S, StatLib, Robert Tibshirani, and Friedrich Leisch. 2019. Bootstrap: Functions for the Book "an Introduction to the Bootstrap". https://CRAN.R-project.org/package=bootstrap.
Stasinopoulos, D. Mikis, and Robert A. Rigby. 2007. “Generalized Additive Models for Location Scale and Shape (GAMLSS) in R.” Journal of Statistical Software 23 (7): 1–46. https://doi.org/10.18637/jss.v023.i07.
Statisticat, and LLC. 2021. LaplacesDemon: Complete Environment for Bayesian Inference. https://cran.r-project.org/web/packages/LaplacesDemon/LaplacesDemon.pdf.
Tattar, Prabhanjan N., Suresh Ramaiah, and Bangalore G. Manjunath. 2016. A Course in Statistics with R. John Wiley & Sons. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119152743.
Taylor, Sean J, and Benjamin Letham. 2018. “Forecasting at Scale.” The American Statistician 72 (1): 37–45. https://peerj.com/preprints/3190/.
Taylor, Sean, and Ben Letham. 2021. Prophet: Automatic Forecasting Procedure. https://CRAN.R-project.org/package=prophet.
Therneau, Terry, and Beth Atkinson. 2019. Rpart: Recursive Partitioning and Regression Trees. https://CRAN.R-project.org/package=rpart.
Thorndike, Edward Lee. 1939. Your City. Harcourt Brace College Publishers.
Thorndike, Robert L. 1953. “Who Belongs in the Family?” Psychometrika 18 (4): 267–76. https://link.springer.com/content/pdf/10.1007%2FBF02289263.pdf.
Tibshirani, Robert, Guenther Walther, and Trevor Hastie. 2001. “Estimating the Number of Clusters in a Data Set via the Gap Statistic.” Journal of the Royal Statistical Society: Series B (Statistical Methodology) 63 (2): 411–23. http://web.stanford.edu/~hastie/Papers/gap.pdf.
Tong, Yung L. 1990. The Multivariate Normal Distribution. Springer-Verlag New York Inc.
Tsanas, Athanasios, and Angeliki Xifara. 2012. “Accurate Quantitative Estimation of Energy Performance of Residential Buildings Using Statistical Machine Learning Tools.” Energy and Buildings 49: 560–67. http://people.maths.ox.ac.uk/tsanas/Preprints/ENB2012.pdf.
Van Der Maaten, Laurens, Eric Postma, Jaap Van den Herik, et al. 2009. “Dimensionality Reduction: A Comparative.” J Mach Learn Res 10 (66-71): 13. https://lvdmaaten.github.io/publications/papers/TR_Dimensionality_Reduction_Review_2009.pdf.
Vapnik, Vladimir. 1995. The Nature of Statistical Learning Theory. 1st ed. Springer Science & Business Media.
———. 2000. The Nature of Statistical Learning Theory. 2nd ed. Springer Science & Business Media.
Vaughan, Davis. 2023. Slider: Sliding Window Functions. https://CRAN.R-project.org/package=slider.
Venables, W. N., and B. D. Ripley. 2002. Modern Applied Statistics with s. Fourth. New York: Springer. https://www.stats.ox.ac.uk/pub/MASS4/.
Virtanen, Pauli, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, et al. 2020. SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python.” Nature Methods 17: 261–72. https://doi.org/10.1038/s41592-019-0686-2.
Wang, Earo, Dianne Cook, and Rob J Hyndman. 2020. “A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data.” Journal of Computational and Graphical Statistics 29 (3): 466–78. https://doi.org/10.1080/10618600.2019.1695624.
Wang, Zhendong, and Xingzhong Xu. 2020. “Testing High Dimensional Covariance Matrices via Posterior Bayes Factor.” Journal of Multivariate Analysis 181: 104674. https://www.sciencedirect.com/science/article/pii/S0047259X20302554?casa_token=05wSeQ0Go5QAAAAA:EYElLIgBhiyzKDo6w6fZn20-0V_f43a-ExmwiSQ1plVQBBuM363xSadTX-5oyW3YP80wl-JVb47h.
Ward Jr, Joe H. 1963. Hierarchical Grouping to Optimize an Objective Function.” Journal of the American Statistical Association 58 (301): 236–44.
Wechsler, Sergio. 1993. “Exchangeability and Predictivism.” Erkenntnis, 343–50. https://www.jstor.org/stable/20012482.
Weihs, Claus, Uwe Ligges, Karsten Luebke, and Nils Raabe. 2005. “klaR Analyzing German Business Cycles.” In Data Analysis and Decision Support, edited by D. Baier, R. Decker, and L. Schmidt-Thieme, 335–43. Berlin: Springer-Verlag.
Whittaker, Joe. 1990. Graphical Models in Applied Multivariate Statistics. Wiley Publishing.
Wickham, Hadley, and Lisa Stryjewski. 2011. “40 Years of Boxplots.” The American Statistician, 17. https://vita.had.co.nz/papers/boxplots.html.
Wickramasinghe, Indika, and Harsha Kalutarage. 2020. “Naive Bayes: Applications, Variations and Vulnerabilities: A Review of Literature with Code Snippets for Implementation.” Soft Computing 25 (3): 2277–93. https://link.springer.com/article/10.1007/s00500-020-05297-6.
Wilkinson, GN, and CE Rogers. 1973. “Symbolic Description of Factorial Models for Analysis of Variance.” Journal of the Royal Statistical Society Series C: Applied Statistics 22 (3): 392–99. https://www.jstor.org/stable/2346786.
Wishart, John. 1928. “The Generalised Product Moment Distribution in Samples from a Normal Multivariate Population.” Biometrika, 32–52. https://www.jstor.org/stable/pdf/2331939.pdf.
Witten, Ian H., and Eibe Frank. 2005. Data Mining: Practical Machine Learning Tools and Techniques. 2nd ed. San Francisco: Morgan Kaufmann.
Woods, Hubert, Harold H Steinour, and Howard R Starke. 1932. “Effect of Composition of Portland Cement on Heat Evolved During Hardening.” Industrial & Engineering Chemistry 24 (11): 1207–14. https://pubs.acs.org/doi/pdf/10.1021/ie50275a002?casa_token=MxKTBQS6EngAAAAA:RHckY1tRKzRoRQBbw27GR6nQR819Jt7crvXsG2C9spIZBRdFENcdriskM4ba9QPo2qndXj_95kdpB9k.
Zabala, F. J. 2009. “Desempate Técnico.” PhD thesis, USP - Universidade de São Paulo. https://www.teses.usp.br/teses/disponiveis/45/45133/tde-01032021-140004/.
Zeileis, Achim, and Gabor Grothendieck. 2005. “Zoo: S3 Infrastructure for Regular and Irregular Time Series.” Journal of Statistical Software 14 (6): 1–27. https://doi.org/10.18637/jss.v014.i06.
Zhang, Harry. 2004. “The Optimality of Naive Bayes.” American Association for Artificial Intelligence 1 (2): 3. http://www.cs.unb.ca/~hzhang/publications/FLAIRS04ZhangH.pdf.
Zhang, Huajie, and Charles X Ling. 2001. “Learnability of Augmented Naive Bayes in Nominal Domains.” A A 1 (2): 3. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=d36671397f0bb927036de3b56cd605e2227b2043.
Zhao, Junhan, Xiang Liu, Chen Guo, Zhenyu Cheryl Qian, and Yingjie Victor Chen. 2020. “Phoenixmap: An Abstract Approach to Visualize 2D Spatial Distributions.” CoRR abs/2002.00732. https://arxiv.org/abs/2002.00732.