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TMwR.bib
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@BOOK{fox08,
author = {J. Fox},
year = 2008,
title = {Applied Regression Analysis and Generalized Linear Models},
edition={second},
publisher = {Sage},
address = {Thousand Oaks, {CA}}
}
@book{wickham2016,
title={\textsf{R} for Data Science: {I}mport, Tidy, Transform, Visualize, and Model Data},
author={Wickham, H and Grolemund, G},
year={2016},
publisher={O'Reilly Media, Inc.}
}
@book{apm,
title={Applied Predictive Modeling},
author={Kuhn, M and Johnson, K},
year={2013},
publisher={Springer}
}
@book{Goodfellow,
title={Deep Learning},
author={Goodfellow, I and Bengio, Y and Courville, A},
publisher={MIT Press},
year={2016}
}
@book{bookdown,
title = {{bookdown}: Authoring Books and Technical Documents with {R} Markdown},
author = {Xie, Y},
publisher = {Chapman and Hall/CRC},
address = {Boca Raton, Florida},
year = {2016},
url = {https://github.com/rstudio/bookdown}
}
@article{baggerly2009,
author = {Baggerly, K and Coombes, K},
journal = {The Annals of Applied Statistics},
number = {4},
pages = {1309--1334},
title = {Deriving chemosensitivity from cell lines: {F}orensic bioinformatics and reproducible research in high-throughput biology},
volume = {3},
year = {2009}
}
@article{Carlson2012,
author = {Carlson, B},
journal = {Biotechnology Healthcare},
number = {3},
pages = {17-21},
title = {Putting oncology patients at risk},
volume = {9},
year = {2012}
}
@Manual{baseR,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2014},
url = {http://www.R-project.org/},
}
@book{Chambers:1998,
author = {Chambers, J},
title = {Programming with Data: A Guide to the {S} Language},
year = {1998},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg}
}
@article{tidyverse,
author = {Wickham, H and Averick, M and Bryan, J and Chang, W and McGowan, L and François, R and Grolemund, G and Hayes, A and Henry, L and Hester, J and Kuhn, M and Pedersen, T and Miller, E and Bache, S and Müller, K and Ooms, J and Robinson, D and Seidel, D and Spinu, V and Takahashi, K and Vaughan, D and Wilke, C and Woo, K and Yutani, H},
journal = {Journal of Open Source Software},
title = {Welcome to the {Tidyverse}},
volume = {4},
number = {43},
year = {2019}
}
@misc{abrams2003,
title = {The Pit of Success},
author = {Abrams, B},
howpublished = {\url{https://blogs.msdn.microsoft.com/brada/2003/10/02/the-pit-of-success/}},
year = {2003},
note = {Accessed: 2022-04-09}
}
@article{shmueli2010,
title={To explain or to predict?},
author={Shmueli, G},
journal={Statistical science},
volume={25},
number={3},
pages={289--310},
year={2010},
publisher={Institute of Mathematical Statistics}
}
@article{breiman2001,
author = {Breiman, L},
journal = {Statistical Science},
month = {08},
number = {3},
pages = {199--231},
title = {Statistical modeling: The two cultures},
volume = {16},
year = {2001}
}
@article{cleveland1979,
title = {Robust locally weighted regression and smoothing scatterplots},
author = {Cleveland, W},
journal = {Journal of the American Statistical Association},
volume = {74},
number = {368},
pages = {829-836},
year = {1979}
}
@book{Gentleman2005,
author = {Gentleman, R and Carey, V and Huber, W and Irizarry, R and Dudoit, S},
title = {Bioinformatics and Computational Biology Solutions Using {R} and {B}ioconductor},
year = {2005},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
}
@book{bolstad2004,
title={Low-level analysis of high-density oligonucleotide array data: Background, normalization and summarization},
author={Bolstad, B},
year={2004},
publisher={University of California, Berkeley}
}
@article{Durrleman1989,
author = {Durrleman, S and Simon, R},
title = {Flexible regression models with cubic splines},
journal = {Statistics in Medicine},
volume = {8},
number = {5},
pages = {551-561},
year = {1989}
}
@book{fes,
title={Feature engineering and selection: A practical approach for predictive models},
author={Kuhn, M and Johnson, K},
year={2020},
publisher={CRC Press}
}
@book{WhiteBook,
editor = {Chambers, J and Hastie, T},
title = {Statistical Models in {S}},
year = {1992},
publisher = {CRC Press, Inc.},
address = {Boca Raton, FL}
}
@book{mcdonald2009,
title={Handbook of Biological Statistics},
author={McDonald, J},
year={2009},
publisher={Sparky House Publishing}
}
@misc{mangiafico2015,
title={An {R} companion for the handbook of biological statistics},
author={Mangiafico, S},
howpublished = {\url{https://rcompanion.org/handbook/}},
note = {Accessed: 2022-04-09},
year={2015}
}
@article{Aboumatar2019,
author = {Aboumatar, H and Wise, R},
title = {Notice of Retraction. Aboumatar et al. Effect of a Program Combining Transitional Care and Long-term Self-management Support on Outcomes of Hospitalized Patients With Chronic Obstructive Pulmonary Disease: A Randomized Clinical Trial},
journal = {JAMA},
volume = {322},
number = {14},
pages = {1417-1418},
year = {2019}
}
@article{ames,
author = {De Cock, D.},
title = {{Ames, Iowa}: Alternative to the {Boston} housing data as an end of semester regression project},
journal = {Journal of Statistics Education},
volume = {19},
number = {3},
year = {2011},
publisher = {Taylor & Francis}
}
@article{glmnet,
title={Regularization paths for generalized linear models via coordinate descent},
author={Friedman, J and Hastie, T and Tibshirani, R},
journal={Journal of statistical Software},
volume={33},
number={1},
pages={1},
year={2010}
}
@article{lasso,
ISSN = {00359246},
URL = {http://www.jstor.org/stable/2346178},
author = {Robert Tibshirani},
journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
number = {1},
pages = {267--288},
publisher = {[Royal Statistical Society, Wiley]},
title = {Regression Shrinkage and Selection via the Lasso},
urldate = {2022-04-09},
volume = {58},
year = {1996}
}
@article{parallel,
author = {M Schmidberger and M Morgan and D Eddelbuettel and H Yu and L Tierney and U Mansmann},
title = {State of the art in parallel computing with {R}},
journal = {Journal of Statistical Software},
volume = {31},
number = {1},
year = {2009},
pages = {1--27},
url = {https://www.jstatsoft.org/v031/i01}
}
@article{kruschke2018bayesian,
title={The {Bayesian} New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a {Bayesian} perspective},
author={Kruschke, J and Liddell, T},
journal={Psychonomic Bulletin and Review},
volume={25},
number={1},
pages={178--206},
year={2018},
publisher={Springer}
}
@book{mcelreath2020statistical,
title={Statistical rethinking: A {Bayesian} course with examples in {R} and {Stan}},
author={McElreath, R},
year={2020},
publisher={CRC press}
}
@book{kruschke2014doing,
title={Doing {Bayesian} data analysis: A tutorial with {R}, {JAGS}, and {Stan}},
author={Kruschke, J},
year={2014},
publisher={Academic Press}
}
@book{faraway2016extending,
title={Extending the linear model with {R}: generalized linear, mixed effects and nonparametric regression models},
author={Faraway, J},
year={2016},
publisher={CRC press}
}
@article{breiman2001random,
title={Random forests},
author={Breiman, L},
journal={Machine learning},
volume={45},
number={1},
pages={5--32},
year={2001},
publisher={Springer}
}
@book{davison1997bootstrap,
title={Bootstrap methods and their application},
author={Davison, A and Hinkley, D},
volume={1},
year={1997},
publisher={Cambridge university press}
}
@book{hyndman2018forecasting,
title={Forecasting: principles and practice},
author={Hyndman, R and Athanasopoulos, G},
year={2018},
publisher={OTexts}
}
@article{xu2001monte,
title={{Monte Carlo} cross validation},
author={Xu, Q and Liang, Y},
journal={Chemometrics and Intelligent Laboratory Systems},
volume={56},
number={1},
pages={1--11},
year={2001},
publisher={Elsevier}
}
@article{spicer2018,
author = {Johnson, D and Eckart, P and Alsamadisi, N and Noble, H and Martin, C and Spicer, R},
title = {Polar auxin transport is implicated in vessel differentiation and spatial patterning during secondary growth in Populus},
journal = {American Journal of Botany},
volume = {105},
number = {2},
pages = {186-196},
year = {2018}
}
@article{pvalue,
author = {Wasserstein, R and Lazar, N},
title = {The {ASA} statement on p-values: Context, process, and purpose},
journal = {The American Statistician},
volume = {70},
number = {2},
pages = {129-133},
year = {2016}
}
@article{HandTill,
Author = {Hand, D and Till, R},
Journal = {Machine Learning},
Month = {Aug},
Pages = {171-186},
Title = {A simple generalisation of the area under the {ROC} curve for multiple class classification problems},
Volume = {45},
Year = {2001},
}
@article{CraigSchapiro,
author = {Craig--Schapiro, R and Kuhn, M and Xiong, C and Pickering, E and Liu, J and Misko, T and Perrin, R and Bales, K and Soares, H and Fagan, A and Holtzman, D},
journal = {PLoS ONE},
title = {Multiplexed immunoassay panel identifies novel {CSF} biomarkers for {Alzheimer's} disease diagnosis and prognosis},
year = {2011},
month = {04},
volume = {6},
pages = {e18850},
number = {4}
}
@Book{HosmerLemeshow,
author = {D Hosmer and Sy Lemeshow},
title = {Applied Logistic Regression},
publisher = {John Wiley and Sons},
address = {New York},
year = {2000}
}
@misc{OpitzBurst,
title={Macro F1 and Macro F1},
author={J Opitz and S Burst},
year={2019},
eprint={1911.03347},
archivePrefix={arXiv}
}
@inproceedings{wu2017unified,
title={A unified view of multi-label performance measures},
author={Wu, X and Zhou, Z},
booktitle={International Conference on Machine Learning},
pages={3780--3788},
year={2017}
}
@article{Kim:2009p4370,
author = {Jungsu, K and Basak, D and Holtzman, D},
journal = {Neuron},
title = {The role of Apolipoprotein {E} in {Alzheimer's} disease},
number = {3},
pages = {287-303},
volume = {63},
year = {2009}
}
@article{FriedmanGFA,
Author = {J Friedman},
Title = {Greedy Function Approximation: A Gradient Boosting Machine},
Journal = {Annals of Statistics},
Volume = {29},
Number = {5},
Pages = {1189--1232},
Year = {2001}
}
@misc{thomas2020problem,
title={The Problem with Metrics is a Fundamental Problem for AI},
author={R Thomas and D Uminsky},
year={2020},
eprint={2002.08512},
archivePrefix={arXiv}
}
@article{cybenko1989approximation,
title={Approximation by superpositions of a sigmoidal function},
author={Cybenko, G},
journal={Mathematics of Control, Signals and Systems},
volume={2},
number={4},
pages={303-314},
year={1989},
publisher={Springer}
}
@misc{wundervald2020generalizing,
title={Generalizing Gain Penalization for Feature Selection in Tree-based Models},
author={B Wundervald and A Parnell and K Domijan},
year={2020},
eprint={2006.07515},
archivePrefix={arXiv}
}
@article{Olsson:1975p3609,
author = {D Olsson and L Nelson},
journal = {Technometrics},
title = {The {N}elder-{M}ead Simplex Procedure for Function Minimization},
number = {1},
pages = {45-51},
volume = {17},
year = {1975}
}
@article{littell2000modelling,
title={Modelling covariance structure in the analysis of repeated measures data},
author={Littell, R and Pendergast, J and Natarajan, R},
journal={Statistics in Medicine},
volume={19},
number={13},
pages={1793-1819},
year={2000},
publisher={Wiley Online Library}
}
@article{Wolfinger,
author = { R Wolfinger },
title = {Covariance structure selection in general mixed models},
journal = {Communications in Statistics - Simulation and Computation},
volume = {22},
number = {4},
pages = {1079-1106},
year = {1993},
publisher = {Taylor and Francis}
}
@book{Dobson99,
author = {Dobson,A},
title = {An introduction to generalized linear models},
year = {1999},
address = {Chapman and Hall},
publisher = {Boca Raton},
}
@article{lhd,
author = {M McKay and R Beckman and W Conover},
journal = {Technometrics},
number = {2},
pages = {239-245},
publisher = {Taylor and Francis},
title = {A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code},
volume = {21},
year = {1979}
}
@article{maxent,
author = { M Shewry and H Wynn },
title = {Maximum entropy sampling},
journal = {Journal of Applied Statistics},
volume = {14},
number = {2},
pages = {165-170},
year = {1987},
publisher = {Taylor and Francis}
}
@article{maxproj,
author = {Joseph, V and Gul, E and Ba, S},
title = {Maximum projection designs for computer experiments},
journal = {Biometrika},
volume = {102},
number = {2},
pages = {371-380},
year = {2015}
}
@book{santner2003design,
title={The design and analysis of computer experiments},
author={Santner, T and Williams, B and Notz, W and Williams, B},
year={2003},
publisher={Springer}
}
@book{BHH,
title={Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building},
author={Box, GEP and Hunter, W and Hunter, J},
year={2005},
publisher={Wiley}
}
@article{Hill,
Author = {A Hill and P LaPan and Y Li and S Haney},
Journal = {BMC Bioinformatics},
Number = {1},
Pages = {340},
Title = {Impact of Image Segmentation on High-Content Screening Data Quality for {SK}-{BR}-3 Cells},
Volume = {8},
Year = {2007}}
@article{krueger15a,
author = {T Krueger and D Panknin and M Braun},
title = {Fast Cross-Validation via Sequential Testing},
journal = {Journal of Machine Learning Research},
year = {2015},
volume = {16},
number = {33},
pages = {1103-1155}
}
@misc{kuhn2014futility,
title={Futility Analysis in the Cross-Validation of Machine Learning Models},
author={Max Kuhn},
year={2014},
eprint={1405.6974},
archivePrefix={arXiv}
}
@article{bradley1952rank,
title={Rank analysis of incomplete block designs: {I.} The method of paired comparisons},
author={Bradley, R and Terry, M},
journal={Biometrika},
volume={39},
number={3/4},
pages={324-345},
year={1952}
}
@inproceedings{maron1994hoeffding,
title={Hoeffding races: Accelerating model selection search for classification and function approximation},
author={Maron, O and Moore, A},
booktitle={Advances in neural information processing systems},
pages={59-66},
year={1994}
}
@article{Friedman:1991p109,
Author = {J Friedman},
Journal = {The Annals of Statistics},
Number = {1},
Pages = {1-141},
Title = {Multivariate Adaptive Regression Splines},
Volume = {19},
Year = {1991}}
@article{yeo2000new,
title={A new family of power transformations to improve normality or symmetry},
author={Yeo, I-K and Johnson, R},
journal={Biometrika},
volume={87},
number={4},
pages={954-959},
year={2000}
}
@ARTICLE{Shahriari,
author={B. {Shahriari} and K. {Swersky} and Z. {Wang} and R. P. {Adams} and N. {de Freitas}},
journal={Proceedings of the IEEE},
title={Taking the Human Out of the Loop: A Review of Bayesian Optimization},
year={2016},
volume={104},
number={1},
pages={148-175}}
@misc{frazier2018tutorial,
title={A Tutorial on Bayesian Optimization},
author={Frazier, R},
year={2018},
eprint={1807.02811},
archivePrefix={arXiv}
}
@article{SCHULZ20181,
title = "A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions",
journal = "Journal of Mathematical Psychology",
volume = "85",
pages = "1 - 16",
year = "2018",
author = "E Schulz and M Speekenbrink and A Krause"
}
@BOOK{RaWi06,
title = {Gaussian Processes for Machine Learning},
publisher = {MIT Press},
year = {2006},
author = {Rasmussen, C and Williams, C},
journal = {Gaussian Processes for Machine Learning}
}
@article{gsa,
author = {I Bohachevsky and M Johnson and M Stein},
title = {Generalized Simulated Annealing for Function Optimization},
journal = {Technometrics},
volume = {28},
number = {3},
pages = {209-217},
year = {1986},
publisher = {Taylor and Francis}
}
@article{Geladi:1986,
author = {Geladi, P. and Kowalski, B},
title = {Partial Least-Squares Regression: A Tutorial},
journal = {Analytica Chimica Acta},
volume = {185},
year = {1986},
pages = {1--17}
}
@article{kirkpatrick1983optimization,
title={Optimization by Simulated Annealing},
author={Kirkpatrick, S and Gelatt, D and Vecchi, M},
journal={Science},
volume={220},
number={4598},
pages={671-680},
year={1983},
publisher={American Association for the Advancement of Science}
}
@incollection{van1987simulated,
title={Simulated Annealing},
author={Van Laarhoven, P and Aarts, E},
booktitle={Simulated Annealing: Theory and applications},
pages={7-15},
year={1987},
publisher={Springer}
}
@book{ModernDive,
title={Statistical Inference via Data Science: A ModernDive into R and the Tidyverse},
author={Ismay, C and Kim, A},
year={2021},
publisher={Chapman and Hall/CRC},
url = {https://moderndive.com/}
}
@article{Mullahy,
title = {Specification and testing of some modified count data models},
journal = {Journal of Econometrics},
volume = {33},
number = {3},
pages = {341-365},
year = {1986},
issn = {0304-4076},
author = {J Mullahy}
}
@article{JSSv027i08,
author = {A Zeileis and C Kleiber and S Jackman},
title = {Regression models for count data in {R}},
journal = {Journal of Statistical Software},
volume = {27},
number = {8},
year = {2008},
issn = {1548-7660},
pages = {1-25},
url = {https://www.jstatsoft.org/v027/i08}
}
@article{claeskens2016statistical,
title={Statistical model choice},
author={Claeskens, G},
journal={Annual Review of Statistics and its Application},
volume={3},
pages={233-256},
year={2016}
}
@BOOK{McCullaghNelder89,
author = {P {McCullagh} and J Nelder},
year = 1989,
title = {Generalized Linear Models},
publisher = {Chapman and Hall},
address = {London}
}
@article{Long1992,
author = {Long, J},
title = "{Measures of Sex Differences in Scientific Productivity*}",
journal = {Social Forces},
volume = {71},
number = {1},
pages = {159-178},
year = {1992},
month = {09}
}
@article{Lambert1992,
author = {D Lambert},
journal = {Technometrics},
number = {1},
pages = {1-14},
title = {Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing},
volume = {34},
year = {1992}
}
@inproceedings{ho1995random,
title={Random decision forests},
author={Ho, T},
booktitle={Proceedings of 3rd International Conference on Document Analysis and Recognition},
volume={1},
pages={278--282},
year={1995},
organization={IEEE}
}
@article{breiman1996bagging,
title={Bagging predictors},
author={Breiman, L},
journal={Machine learning},
volume={24},
number={2},
pages={123--140},
year={1996},
publisher={Springer}
}
@article{freund1997decision,
title={A decision-theoretic generalization of on-line learning and an application to boosting},
author={Freund, Y and Schapire, R},
journal={Journal of Computer and System Sciences},
volume={55},
number={1},
pages={119--139},
year={1997},
publisher={Elsevier}
}
@article{wolpert1992stacked,
title={Stacked generalization},
author={Wolpert, D},
journal={Neural Networks},
volume={5},
number={2},
pages={241--259},
year={1992},
publisher={Elsevier}
}
@article{breiman1996stacked,
title={Stacked regressions},
author={Breiman, L},
journal={Machine Learning},
volume={24},
number={1},
pages={49--64},
year={1996},
publisher={Springer}
}
@article{Netzeva,
author = {T Netzeva and A Worth and T Aldenberg and R Benigni and M Cronin and P Gramatica and J Jaworska and S Kahn and G Klopman and C Marchant and G Myatt and N Nikolova-Jeliazkova and G Patlewicz and R Perkins and D Roberts and T Schultz and D Stanton and J van de Sandt and W Tong and G Veith and C Yang},
title ={Current Status of Methods for Defining the Applicability Domain of (Quantitative) Structure-Activity Relationships: The Report and Recommendations of ECVAM Workshop 52},
journal = {Alternatives to Laboratory Animals},
volume = {33},
number = {2},
pages = {155-173},
year = {2005}
}
@article{Jaworska,
author = {J Jaworska and N Nikolova-Jeliazkova and T Aldenberg},
title ={QSAR Applicability Domain Estimation by Projection of the Training Set in Descriptor Space: A Review},
journal = {Alternatives to Laboratory Animals},
volume = {33},
number = {5},
pages = {445-459},
year = {2005}
}
@article{Bartley,
author = {Bartley, M . AND Hanks, E AND Schliep, E AND Soranno, P AND Wagner, T},
journal = {PLOS ONE},
title = {Identifying and characterizing extrapolation in multivariate response data},
year = {2019},
month = {12},
volume = {14},
pages = {1-20}
}
@article {Danowski524,
author = {Danowski, T and Aarons, J and Hydovitz, J and Wingert, J},
title = {Utility of equivocal glucose tolerances},
volume = {19},
number = {7},
pages = {524-526},
year = {1970},
journal = {Diabetes}
}
@article {Kerleguer1783,
author = {Kerleguer, A. and Koeck, J.-L. and Fabre, M. and G{\'e}r{\^o}me, P. and Teyssou, R. and Herv{\'e}, V.},
title = {Use of equivocal zone in interpretation of results of the amplified {Mycobacterium Tuberculosis} direct test for diagnosis of tuberculosis},
volume = {41},
number = {4},
pages = {1783-1784},
year = {2003},
journal = {Journal of Clinical Microbiology}
}
@misc{mcinnes2020umap,
title={UMAP: Uniform manifold approximation and projection for dimension reduction},
author={McInnes, L, and Healy, J and Melville, J},
year={2020},
eprint={1802.03426}
}
@article{beans,
title = {Multiclass classification of dry beans using computer vision and machine learning techniques},
journal = {Computers and Electronics in Agriculture},
volume = {174},
pages = {105507},
year = {2020},
issn = {0168-1699},
author = {Koklu, M and Ozkan, IA}
}
@article{symons1988211,
title = {Determination of wheat kernel morphological variation by digital image analysis: {I}. {Variation} in Eastern Canadian milling quality wheats},
journal = {Journal of Cereal Science},
volume = {8},
number = {3},
pages = {211-218},
year = {1988},
issn = {0733-5210},
author = {Symons, S and Fulcher, RG}
}
@incollection{Mingqiang08,
author = {Y Mingqiang and K Kidiyo and R Joseph},
title = {A survey of shape feature extraction techniques},
booktitle = {Pattern Recognition},
publisher = {IntechOpen},
address = {Rijeka},
year = {2008},
editor = {PY Yin},
chapter = {3},
doi = {10.5772/6237},
url = {https://doi.org/10.5772/6237}
}
@Book{Biecek2021,
author = {Przemyslaw Biecek and Tomasz Burzykowski},
title = {{Explanatory Model Analysis}},
publisher = {Chapman and Hall/CRC, New York},
year = {2021},
isbn = {9780367135591},
url = {https://ema.drwhy.ai/},
}
@Book{Molnar2021,
author = {Christopher Molnar},
title = {{Interpretable Machine Learning}},
year = {2020},
isbn = {9780244768522},
url = {https://christophm.github.io/interpretable-ml-book/},
publisher = {lulu.com}
}
@inproceedings{Lundberg2017,
author = {Lundberg, Scott M. and Lee, Su-In},
title = {A Unified Approach to Interpreting Model Predictions},
year = {2017},
isbn = {9781510860964},
publisher = {Curran Associates Inc.},
address = {Red Hook, NY, USA},
booktitle = {Proceedings of the 31st International Conference on Neural Information Processing Systems},
pages = {4768–4777},
numpages = {10},
location = {Long Beach, California, USA},
series = {NIPS'17}
}
@book{Hvitfeldt2021,
title={Supervised Machine Learning for Text Analysis in R},
author={Hvitfeldt, E. and Silge, J.},
isbn={9780367554194},
lccn={2021021541},
series={A Chapman \& Hall book},
url={https://smltar.com/},
year={2021},
publisher={CRC Press}
}
@article{MicciBarreca2001,
author = {Micci-Barreca, Daniele},
title = {A Preprocessing Scheme for High-Cardinality Categorical Attributes in Classification and Prediction Problems},
year = {2001},
issue_date = {July 2001},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {3},
number = {1},
issn = {1931-0145},
url = {https://doi.org/10.1145/507533.507538},
doi = {10.1145/507533.507538},
journal = {SIGKDD Explor. Newsl.},
month = {jul},
pages = {27–32},
numpages = {6},
keywords = {predictive models, neural networks, hierarchical attributes, empirical bayes, categorical attributes}
}
@misc{Zumel2019,
title={vtreat: a data.frame Processor for Predictive Modeling},
author={Nina Zumel and John Mount},
year={2019},
url={http://arxiv.org/abs/1611.09477},
eprint={1611.09477},
archivePrefix={arXiv},
primaryClass={stat.AP}
}
@misc{Guo2016,
author = {Cheng Guo and
Felix Berkhahn},
title = {Entity Embeddings of Categorical Variables},
year = {2016},
url = {http://arxiv.org/abs/1604.06737},
eprinttype = {arXiv},
eprint = {1604.06737},
timestamp = {Mon, 13 Aug 2018 16:49:04 +0200}
}
@article{Good1985,
title = {Weight of evidence: A brief survey},
journal = {Bayesian Statistics},
volume = {2},
pages = {249-270},
year = {1985},
author = {I.J. Good}
}
@inproceedings{weinberger2009feature,
title={Feature hashing for large scale multitask learning},
author={Weinberger, K and Dasgupta, A and Langford, J and Smola, A and Attenberg, J},
booktitle={Proceedings of the 26th Annual International Conference on Machine Learning},
pages={1113-1120},
year={2009},
organization={ACM}
}
@book{wickham2019advanced,
title={Advanced R},
edition={2nd ed.},
author={Wickham, H},
isbn={9781351201315},
series={Chapman \& Hall/CRC The R Series},
url={https://doi.org/10.1201/9781351201315},
year={2019},
publisher={Taylor \& Francis}
}