@article{efron1975efficiency,
title = {The efficiency of logistic regression compared to normal discriminant analysis},
author = {Efron, Bradley},
journal = {Journal of the American Statistical Association},
volume = {70},
number = {352},
pages = {892--898},
year = {1975},
publisher = {Taylor \& Francis}
}
@article{lebret2014rmixmod,
title = {Rmixmod: the R package of the model-based unsupervised, supervised and semi-supervised classification mixmod library},
author = {Lebret, R{\'e}mi and Iovleff, Serge and Langrognet, Florent and Biernacki, Christophe and Celeux, Gilles and Govaert, G{\'e}rard},
journal = {Journal of Statistical Software},
volume = {67},
number = {6},
pages = {241--270},
year = {2014}
}
@book{Sutton1998,
added-at = {2018-09-18T19:21:39.000+0200},
author = {Sutton, Richard S. and Barto, Andrew G.},
biburl = {https://www.bibsonomy.org/bibtex/2f46601cf8b13d39d1378af0d79438b12/analyst},
edition = {Second},
interhash = {ac6b144aaec1819919a2fba9f705c852},
intrahash = {f46601cf8b13d39d1378af0d79438b12},
keywords = {2018 book reference reinforcement-learning},
publisher = {The MIT Press},
timestamp = {2018-09-18T19:22:02.000+0200},
title = {Reinforcement Learning: An Introduction},
url = {http://incompleteideas.net/book/the-book-2nd.html},
year = {2018 }
}
@article{celeux1992classification,
title = {A classification EM algorithm for clustering and two stochastic versions},
author = {Celeux, Gilles and Govaert, G{\'e}rard},
journal = {Computational statistics \& Data analysis},
volume = {14},
number = {3},
pages = {315--332},
year = {1992},
publisher = {Elsevier}
}
@inproceedings{zadrozny2004learning,
title = {Learning and evaluating classifiers under sample selection bias},
author = {Zadrozny, Bianca},
booktitle = {Proceedings of the twenty-first international conference on Machine learning},
pages = {114},
year = {2004},
organization = {ACM}
}
@article{10.2307/1912526,
issn = {00129682, 14680262},
url = {http://www.jstor.org/stable/1912526},
abstract = {This paper examines the consequences and detection of model misspecification when using maximum likelihood techniques for estimation and inference. The quasi-maximum likelihood estimator (OMLE) converges to a well defined limit, and may or may not be consistent for particular parameters of interest. Standard tests (Wald, Lagrange Multiplier, or Likelihood Ratio) are invalid in the presence of misspecification, but more general statistics are given which allow inferences to be drawn robustly. The properties of the QMLE and the information matrix are exploited to yield several useful tests for model misspecification.},
author = {Halbert White},
journal = {Econometrica},
number = {1},
pages = {1--25},
publisher = {[Wiley, Econometric Society]},
title = {Maximum Likelihood Estimation of Misspecified Models},
volume = {50},
year = {1982}
}
@phdthesis{vandewalle:tel-00447141,
title = {{Estimation et s{\'e}lection en classification semi-supervis{\'e}e}},
author = {Vandewalle, Vincent},
url = {https://tel.archives-ouvertes.fr/tel-00447141},
school = {{Universit{\'e} des Sciences et Technologie de Lille - Lille I}},
year = {2009},
month = dec,
keywords = {mixture models ; maximum likelihood estimation ; missing data ; EM algorithm ; discriminant analysis ; semi-supervised classification ; parsimonious models ; model choice ; mod{\`e}les de m{\'e}lange ; estimation par maximum de vraisemblance ; donn{\'e}es manquantes ; algorithme EM ; analyse discriminante ; classification semi-supervis{\'e}e ; mod{\`e}les parcimonieux ; choix de mod{\`e}le},
type = {Theses},
pdf = {https://tel.archives-ouvertes.fr/tel-00447141/file/These.pdf},
hal_id = {tel-00447141},
hal_version = {v1}
}
@book{Chapelle:2010:SL:1841234,
author = {Chapelle, Olivier and Schlkopf, Bernhard and Zien, Alexander},
title = {Semi-Supervised Learning},
year = {2010},
isbn = {0262514125, 9780262514125},
edition = {1st},
publisher = {The MIT Press}
}
@article{van1999multiple,
title = {Multiple imputation of missing blood pressure covariates in survival analysis},
author = {Van Buuren, Stef and Boshuizen, Hendriek C and Knook, Dick L and others},
journal = {Statistics in medicine},
volume = 18,
number = 6,
pages = {681--694},
year = 1999
}
@article{little2008selection,
title = {Selection and pattern-mixture models},
author = {Little, Roderick JA},
journal = {Longitudinal data analysis},
pages = {409--431},
year = 2008,
publisher = {Chapman and Hall/CRC}
}
@book{rubin2004multiple,
title = {Multiple imputation for nonresponse in surveys},
author = {Rubin, Donald B},
volume = 81,
year = 2004,
publisher = {John Wiley \& Sons}
}
@book{tuffery2010data,
title = {Data mining et statistique décisionnelle : l'intelligence des données},
author = {Tufféry, Stéphane},
year = 2010,
publisher = {Editions Technip}
}
@article{seaman2013meant,
title = {What is meant by “missing at random”?},
author = {Seaman, Shaun and Galati, John and Jackson, Dan and Carlin, John and others},
journal = {Statistical Science},
volume = 28,
number = 2,
pages = {257--268},
year = 2013,
publisher = {Institute of Mathematical Statistics}
}
@article{dempster1977maximum,
title = {Maximum likelihood from incomplete data via the EM algorithm},
author = {Dempster, Arthur P and Laird, Nan M and Rubin, Donald B},
journal = {Journal of the royal statistical society. Series B (methodological)},
pages = {1--38},
year = 1977,
publisher = {JSTOR}
}
@article{little1988test,
title = {A test of missing completely at random for multivariate data with missing values},
author = {Little, Roderick JA},
journal = {Journal of the American Statistical Association},
volume = 83,
number = 404,
pages = {1198--1202},
year = 1988,
publisher = {Taylor \& Francis}
}
@article{efron,
title = {The efficiency of logistic regression compared to normal discriminant analysis},
author = {Efron, Bradley},
journal = {Journal of the American Statistical Association},
volume = 70,
number = 352,
pages = {892--898},
year = 1975,
publisher = {Taylor \& Francis Group}
}
@article{oneill,
title = {The general distribution of the error rate of a classification procedure with application to logistic regression discrimination},
author = {O'neill, Terence J},
journal = {Journal of the American Statistical Association},
volume = 75,
number = 369,
pages = {154--160},
year = 1980,
publisher = {Taylor \& Francis}
}
@article{groupe,
title = {Scorecard Development Methodology Guidelines},
author = {Cr\'edit Groupe},
year = 2015,
journal = {Cr\'edit Agricole Internal Guidelines}
}
@article{reglog,
title = {Pratique de la régression logistique},
author = {Rakotomalala, Ricco},
journal = {Régression Logistique Binaire et Polytomique, Université Lumière Lyon},
volume = 2,
year = 2011
}
@article{white,
title = {Maximum likelihood estimation of misspecified models},
author = {White, Halbert},
journal = {Econometrica: Journal of the Econometric Society},
pages = {1--25},
year = 1982,
publisher = {JSTOR}
}
@article{missingness,
title = {Missing data: our view of the state of the art},
author = {Schafer, Joseph L and Graham, John W},
journal = {Psychological methods},
volume = 7,
number = 2,
pages = 147,
year = 2002,
publisher = {American Psychological Association}
}
@article{melangeclassif,
title = {Pourquoi les modèles de mélange pour la classification},
author = {Biernacki, Christophe},
journal = {Revue de MODULAD},
volume = 40,
pages = {1--22},
year = 2009
}
@book{littlerubin,
title = {Statistical analysis with missing data},
author = {Little, Roderick JA and Rubin, Donald B},
year = 2014,
publisher = {John Wiley \& Sons}
}
@article{bart,
title = {Developing Intelligent Systems for Credit Scoring using Machine Learning Techniques},
author = {Bart Baesens},
year = 2003
}
@article{importance2,
title = {Easy as : The Importance Sampling Method},
author = {Oleg Mazonka},
year = 2016
}
@article{Rmixmod,
title = {Rmixmod: the R package of the model-based unsupervised, supervised and semi-supervised classification mixmod library},
author = {Lebret, Rémi and Iovleff, Serge and Langrognet, Florent and Biernacki, Christophe and Celeux, Gilles and Govaert, Gérard},
journal = {Journal of Statistical Software},
pages = {In--press},
year = 2015
}
@article{c45,
title = {C4.5: programs for machine learning},
author = {J. Ross Quinlan},
year = 1993
}
@article{rforest,
title = {Random Decision Forests},
author = {Tin Kam Ho},
year = 1995
}
@article{neural,
title = {An Introduction to Neural Networks},
author = {Kevin Gurney},
year = 1997
}
@article{svm,
title = {Support-vector networks},
author = {Corinna Cortes and Vladimir Vapnik},
year = 1995
}
@article{celeux1985sem,
title = {The SEM algorithm: a probabilistic teacher algorithm derived from the EM algorithm for the mixture problem},
author = {Celeux, Gilles},
journal = {Computational statistics quarterly},
volume = {2},
pages = {73--82},
year = {1985}
}
@article{cemvsem,
title = {Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models},
author = {Biernacki, Christophe and Celeux, Gilles and Govaert, Gérard},
journal = {Computational Statistics \& Data Analysis},
volume = 41,
number = 3,
pages = {561--575},
year = 2003,
publisher = {Elsevier}
}
@book{finite,
title = {Finite mixture models},
author = {McLachlan, Geoffrey and Peel, David},
year = 2004,
publisher = {John Wiley \& Sons}
}
@article{crook,
title = {Does reject inference really improve the performance of application scoring models?},
volume = 28,
issn = 03784266,
url = {http://linkinghub.elsevier.com/retrieve/pii/S0378426603002036},
doi = {10.1016/j.jbankfin.2003.10.010},
language = {en},
number = 4,
urldate = {2016-08-25},
journal = {Journal of Banking \& Finance},
author = {Crook, Jonathan and Banasik, John},
month = apr,
year = 2004,
pages = {857--874},
file = {BANASIK_J_Does_Reject_Interference_Really_Improve_the_Performance_of_Application_Scoring_Models.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\SMWTCR38\\BANASIK_J_Does_Reject_Interference_Really_Improve_the_Performance_of_Application_Scoring_Models.pdf:application/pdf}
}
@article{gongyue_bound_????,
title = {Bound and {Collapse} {Bayesian} {Reject} {Inference} {When} {Data} are {Missing} not at {Random}},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.115.3430&rep=rep1&type=pdf},
urldate = {2016-08-25},
author = {Gongyue, G. and Thomas},
file = {bound_and_collapse_bayesian_reject_inference.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\VMZEAQ9M\\bound_and_collapse_bayesian_reject_inference.pdf:application/pdf}
}
@article{RI6,
title = {Evaluation de Techniques de Traitement des Refusés pour l'Octroi de Crédit},
url = {http://arxiv.org/abs/cs/0607048},
urldate = {2016-08-25},
journal = {arXiv preprint cs/0607048},
author = {Viennet, Emmanuel and Soulié, Françoise Fogelman and Rognier, Benoît},
year = 2006,
file = {EVALUATION DE TECHNIQUES DE TRAITEMENT DES REFUSÉS.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\UCMBV8GI\\EVALUATION DE TECHNIQUES DE TRAITEMENT DES REFUSÉS.pdf:application/pdf}
}
@article{hand_graphical_1997,
title = {Graphical models of applicants for credit},
volume = 8,
url = {http://imaman.oxfordjournals.org/content/8/2/143.short},
number = 2,
urldate = {2016-08-25},
journal = {IMA Journal of Management Mathematics},
author = {Hand, D. J. and McConway, K. J. and Stanghellini, E.},
year = 1997,
pages = {143--155},
file = {Hand_GraphicalCredit_IMA_1997.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\DZ4VEK7V\\Hand_GraphicalCredit_IMA_1997.pdf:application/pdf}
}
@article{heckman,
title = {Sample {Selection} {Bias} as a {Specification} {Error}},
volume = 47,
issn = 00129682,
url = {http://www.jstor.org/stable/1912352?origin=crossref},
doi = {10.2307/1912352},
number = 1,
urldate = {2016-08-25},
journal = {Econometrica},
author = {Heckman, James J.},
month = jan,
year = 1979,
pages = 153,
file = {heckman02.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\VE987KR8\\heckman02.pdf:application/pdf}
}
@article{RI3,
title = {Specification and informational issues in credit scoring},
url = {http://papers.ssrn.com/sol3/papers.cfm?abstract_id=956628},
urldate = {2016-08-25},
journal = {Available at SSRN 956628},
author = {Kiefer, Nicholas M. and Larson, C. Erik},
year = 2006,
file = {kiefer_larson_creditscoring_October06.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\848856XU\\kiefer_larson_creditscoring_October06.pdf:application/pdf}
}
@article{banasik_credit_2005,
title = {Credit scoring, augmentation and lean models},
volume = 56,
url = {http://link.springer.com/article/10.1057/palgrave.jors.2602017},
number = 9,
urldate = {2016-08-25},
journal = {Journal of the Operational Research Society},
author = {Banasik, J. and Crook, J.},
year = 2005,
pages = {1072--1081},
file = {lean_models_and_reject_inference.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\4UA5G62S\\lean_models_and_reject_inference.pdf:application/pdf}
}
@article{fogarty_multiple_2006,
title = {Multiple imputation as a missing data approach to reject inference on consumer credit scoring},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.627.6562&rep=rep1&type=pdf},
urldate = {2016-08-25},
journal = {Interstat},
author = {Fogarty, David J.},
year = 2006,
file = {multiple_imputation.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\DSJN6S33\\multiple_imputation.pdf:application/pdf}
}
@article{van_ophem_reject_2008,
title = {Reject {Inference} in {Credit} {Scoring}},
url = {http://dare.uva.nl/cgi/arno/show.cgi?fid=107319},
urldate = {2016-08-25},
author = {van Ophem, J. C. M. and Gerlagh, L. B. and Verkooijen, W. J. H.},
year = 2008,
file = {RejectInference_AnEvaluationOfMultipleTechniques.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\66N6EAWT\\RejectInference_AnEvaluationOfMultipleTechniques.pdf:application/pdf}
}
@article{banasik,
title = {Reject inference, augmentation, and sample selection},
volume = 183,
url = {http://www.sciencedirect.com/science/article/pii/S0377221706011969},
number = 3,
urldate = {2016-08-25},
journal = {European Journal of Operational Research},
author = {Banasik, John and Crook, Jonathan},
year = 2007,
pages = {1582--1594},
file = {reject_inference_augmentation_sample_selection.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\84TIXZ3X\\reject_inference_augmentation_sample_selection.pdf:application/pdf}
}
@article{RI2,
title = {Credit scoring and reject inference with mixture models},
volume = 9,
url = {http://www.ingentaconnect.com/content/jws/isaf/2000/00000009/00000001/art00177},
number = 1,
urldate = {2016-08-25},
journal = {International Journal of Intelligent Systems in Accounting, Finance \& Management},
author = {Feelders, A.},
year = 2000,
pages = {1--8},
file = {RejectInferenceWithMixtureModels.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\C3IVQS5H\\RejectInferenceWithMixtureModels.pdf:application/pdf}
}
@inproceedings{sampleselection,
title = {Sample selection bias correction theory},
url = {http://link.springer.com/chapter/10.1007/978-3-540-87987-9_8},
urldate = {2016-08-25},
booktitle = {International {Conference} on {Algorithmic} {Learning} {Theory}},
publisher = {Springer},
author = {Cortes, Corinna and Mohri, Mehryar and Riley, Michael and Rostamizadeh, Afshin},
year = 2008,
pages = {38--53},
file = {sample_selection_bias_theory.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\D6ZFGTSZ\\sample_selection_bias_theory.pdf:application/pdf}
}
@inproceedings{saporta,
title = {Une comparaison de quatre techniques d'inférence des refusés dans le processus d'octroi de crédit},
url = {http://cedric.cnam.fr/fichiers/art_2753.pdf},
urldate = {2016-08-25},
booktitle = {45 emes Journées de statistique},
author = {Guizani, Asma and Souissi, Besma and Ammou, Salwa Ben and Saporta, Gilbert},
year = 2013,
file = {saporta.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\4QIGERRZ\\saporta.pdf:application/pdf}
}
@techreport{economix,
title = {Reject inference in application scorecards: evidence from {France}},
shorttitle = {Reject inference in application scorecards},
url = {http://economix.fr/pdf/dt/2016/WP_EcoX_2016-10.pdf},
urldate = {2016-08-25},
institution = {University of Paris West-Nanterre la Défense, EconomiX},
author = {Nguyen, Ha Thu},
year = 2016,
file = {WP_EcoX_2016-10.pdf:D\:\\Users\\s36612\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\86f0089j.default\\zotero\\storage\\76M8ZPFQ\\WP_EcoX_2016-10.pdf:application/pdf}
}
@article{molenberghs2008every,
title = {Every missingness not at random model has a missingness at random counterpart with equal fit},
author = {Molenberghs, Geert and Beunckens, Caroline and Sotto, Cristina and Kenward, Michael G},
journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
volume = 7,
number = 2,
pages = {371--388},
year = 2008,
publisher = {Wiley Online Library}
}
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