Non-Parametric Econometrics, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00630410
Formulation and estimation of stochastic frontier production function models, Journal of Econometrics, vol.6, issue.1, pp.21-37, 1977. ,
DOI : 10.1016/0304-4076(77)90052-5
The Econometricians' Statisticians, 1895-1945, History of Political Economy, vol.42, issue.1, pp.111-154, 2010. ,
DOI : 10.1215/00182702-2009-064
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.229.2974
Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience), Journal of Banking & Finance, vol.18, issue.3, pp.505-529, 1994. ,
DOI : 10.1016/0378-4266(94)90007-8
Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement, The Quarterly Journal of Economics, vol.114, issue.2, pp.533-575, 1999. ,
DOI : 10.1162/003355399556061
The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics, Journal of Economic Perspectives, vol.24, issue.2, pp.3-30, 2010. ,
DOI : 10.1257/jep.24.2.3
Mastering Metrics, 2015. ,
Does Compulsory School Attendance Affect Schooling and Earnings?, The Quarterly Journal of Economics, vol.106, issue.4, pp.979-1014, 1991. ,
DOI : 10.2307/2937954
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.6971
Machine Learning Methods for Demand Estimation, American Economic Review, vol.105, issue.5, pp.481-485, 2015. ,
DOI : 10.1257/aer.p20151021
Do earnings really decline for older workers? AMSE 2015-11 Discussion Paper, 2015. ,
Dynamic programming, 1957. ,
Inference Methods for High-Dimensional Sparse Econometric Models Advances in Economics and Econometrics, pp.245-295, 2010. ,
DOI : 10.1017/cbo9781139060035.008
URL : http://arxiv.org/abs/1201.0220
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain, SSRN Electronic Journal, vol.80, pp.2369-2429, 2012. ,
DOI : 10.2139/ssrn.1910169
URL : http://arxiv.org/abs/1010.4345
Controlling the false discovery rate: a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society, Series B, vol.57, pp.289-300, 1995. ,
Statistical decision theory and Bayesian Analysis, 1985. ,
DOI : 10.1007/978-1-4757-4286-2
Statistical Learning from a Regression Perspective, 2008. ,
DOI : 10.1007/978-3-319-44048-4
Applications of the logistic function to bioassay, Journal of the American Statistical Association, vol.9, pp.357-365, 1944. ,
Why I Prefer Logits to Probits, Biometrics, vol.7, issue.4, pp.327-339, 1951. ,
DOI : 10.2307/3001655
Bayesian Theory, 2000. ,
DOI : 10.1002/9780470316870
The Practice of Econometrics: Classic and Contemporary, 1990. ,
Pattern Recognition and Machine Learning, 2006. ,
Credit scoring models for the microfinance industry using neural networks: Evidence from Peru, Expert Systems with Applications, vol.40, issue.1, pp.356-364, 2013. ,
DOI : 10.1016/j.eswa.2012.07.051
THE METHOD OF PROBITS, Science, vol.79, issue.2037, pp.38-39, 1934. ,
DOI : 10.1126/science.79.2037.38
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author), Statistical Science, vol.16, issue.3, pp.199-231, 2001. ,
DOI : 10.1214/ss/1009213726
Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
Fundamentals of statistical exponential families: with applications in statistical decision theory, Institute of Mathematical Statistics, 1986. ,
Statistics for High Dimensional Data: Methods, Theory and Applications, 2011. ,
DOI : 10.1007/978-3-642-20192-9
Principles and Theory for Data Mining and Machine Learning, 2009. ,
DOI : 10.1007/978-0-387-98135-2
Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-297, 1995. ,
DOI : 10.1007/BF00994018
Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals, and Systems, vol.27, issue.4, pp.303-314, 1989. ,
DOI : 10.1090/pspum/028.2/0507425
Sur les lois de probabilites a estimation exhaustive, Comptes Rendus de l'Académie des Sciencs, pp.1265-1266, 0200. ,
Bootstrap, 1997. ,
Estimation and Inference in Econometrics., Economica, vol.62, issue.245, 1993. ,
DOI : 10.2307/2554780
Econometric Theory and Methods, 2003. ,
The Formation of Econometrics, 1993. ,
Theoretic Models: Mathematical Form and Economic Content, Econometrica, vol.54, issue.6, pp.1259-1270, 1986. ,
DOI : 10.2307/1914299
Die Productions-und Consumtionsverhältnisse des Königreichs Sachsen, 1857. ,
Domestic Saving and International Capital Flows, The Economic Journal, vol.90, issue.358, pp.314-329, 1980. ,
DOI : 10.2307/2231790
Machine Learning, 2012. ,
DOI : 10.1017/CBO9780511973000
Partial Time Regressions as Compared with Individual Trends, Econometrica, vol.1, issue.4, pp.387-401, 1933. ,
DOI : 10.2307/1907330
Making and Evaluating Point Forecasts, Journal of the American Statistical Association, vol.106, issue.494, pp.746-762, 2011. ,
DOI : 10.1198/jasa.2011.r10138
URL : http://arxiv.org/abs/0912.0902
Méthodes économétriques pour l'évaluation de politiques publiques, INSEE Document de Travail, p.8, 2010. ,
Interpretation of SVMs with an application to unbalanced classification, Advances in Neural Information Processing Systems 18, 2005. ,
The Probability Approach in Econometrics, Econometrica, vol.12, pp.1-115, 1944. ,
DOI : 10.2307/1906935
Generalized Additive Models, 1990. ,
The Elements of Statistical Learning, 2009. ,
Statistical Learning with Sparsity, pp.85-111, 2014. ,
The organization of behavior, 1949. ,
Sample Selection Bias as a Specification Error, Econometrica, vol.47, issue.1, pp.153-161, 1979. ,
DOI : 10.2307/1912352
Simple Estimators for Treatment Parameters in a Latent-Variable Framework, Review of Economics and Statistics, vol.3, issue.3, pp.748-755, 2003. ,
DOI : 10.1111/1468-0262.00277
Applications of ridge analysis to regression problems, Chemical Engineering Progress, vol.58, issue.3, pp.54-59, 1962. ,
Statistics and Causal Inference, Journal of the American Statistical Association, vol.10, issue.396, pp.945-960, 1986. ,
DOI : 10.1016/0021-9681(59)90015-3
Forecasting with Exponential Smoothing, 2009. ,
DOI : 10.1007/978-3-540-71918-2
An introduction to Statistical Learning, 2013. ,
DOI : 10.1007/978-1-4614-7138-7
Credit risk evaluation using neural networks: Emotional versus conventional models, Applied Soft Computing, vol.11, issue.8, pp.5477-5484, 2011. ,
DOI : 10.1016/j.asoc.2011.05.011
Structural vs. atheoretic approaches to econometrics, Journal of Econometrics, vol.156, pp.3-20, 2010. ,
Analysis of Multivariate and High-Dimensional Data, 2013. ,
DOI : 10.1017/CBO9781139025805
Galton, Edgeworth, Frish, and prospects for quantile regression in Econometrics, Conference on Principles of Econometrics, 1998. ,
DOI : 10.1016/s0304-4076(99)00043-3
Quantile Regression, 2003. ,
Tensor Decompositions and Applications, SIAM Review, vol.51, issue.3, pp.455-500, 2009. ,
DOI : 10.1137/07070111X
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.782
Three Essays on the State of Economic Science, 1957. ,
Applied Predictive Modeling, 2013. ,
DOI : 10.1007/978-1-4614-6849-3
The Measurement of Observer Agreement for Categorical Data, Biometrics, vol.33, issue.1, pp.159-174, 1977. ,
DOI : 10.2307/2529310
Deep learning, Nature, vol.9, issue.7553, pp.436-444, 2015. ,
DOI : 10.1007/s10994-013-5335-x
The " Mincer Equation Thirty Years After Schooling, Experience, and Earnings. in Jacob Mincer A Pioneer of Modern Labor Economics, pp.127-145, 2006. ,
DOI : 10.1007/0-387-29175-x_11
Nonparametric Econometrics, 2006. ,
Why does deep and cheap learning work so well? ArXiv e-prints, 2016. ,
DOI : 10.1007/s10955-017-1836-5
Econometric policy evaluation: A critique, Carnegie-Rochester Conference Series on Public Policy, vol.1, pp.19-46, 1976. ,
DOI : 10.1016/S0167-2231(76)80003-6
Some Comments on C p, Technometrics, vol.15, pp.661-675, 1973. ,
DOI : 10.2307/1271437
Schooling, experience and earnings, 1974. ,
Machine Learning, 1997. ,
Problems in the Analysis of Survey Data, and a Proposal, Journal of the American Statistical Association, vol.58, issue.302, pp.415-434, 1963. ,
DOI : 10.1080/01621459.1963.10500855
The history of econometric ideas, 1990. ,
DOI : 10.1017/CBO9780511522109
Foundations of Machine Learning, 2012. ,
Machine Learning: An Applied Econometric Approach, Journal of Economic Perspectives, vol.31, issue.2, pp.87-106, 2017. ,
DOI : 10.1257/jep.31.2.87
URL : https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.31.2.87
Generalized Linear Models in Handbook of Computational Statistics, 2011. ,
Machine Learning: a Probabilistic Perspective, 2012. ,
Empirical Age-Earnings Profiles, Journal of Labor Economics, vol.8, issue.2, pp.202-229, 1990. ,
DOI : 10.1086/298220
On Estimating Regression. Theory of Probability and its Applications, pp.141-143, 1964. ,
Taking the Dogma out of Econometrics: Structural Modeling and Credible Inference, Journal of Economic Perspectives, vol.24, issue.2, pp.69-82, 2010. ,
DOI : 10.1257/jep.24.2.69
Sur les applications de la théorie des probabilités aux expériences agricoles : Essai des principes, republibé dans Statistical Science, vol.5, pp.463-472, 1923. ,
Handbook of Statistical Analysis and Data Mining Applications, 2011. ,
Potential GNP: Its measurement and significance, Proceedings of the Business and Economics Section of the American Statistical Association, pp.98-103, 1962. ,
Toward Partial Redirection of Econometrics, The Review of Economics and Statistics, vol.34, issue.3, pp.195-213, 1952. ,
DOI : 10.2307/1925626
Nonparametric Econometrics. Themes in Modern Econometrics, 1999. ,
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods Advances in Large Margin Classifiers, pp.61-74, 1999. ,
Asymptotic Behavior of Likelihood Methods for Exponential Families when the Number of Parameters Tends to Infinity, The Annals of Statistics, vol.16, issue.1, pp.356-366, 1988. ,
DOI : 10.1214/aos/1176350710
Problems in Plane Sampling, The Annals of Mathematical Statistics, vol.20, issue.3, pp.355-375, 1949. ,
DOI : 10.1214/aoms/1177729989
Notes on Bias in Estimation, Biometrika, vol.4334, pp.353-360, 1956. ,
Induction of decision trees, Machine Learning, vol.1, issue.1, pp.81-106, 1986. ,
DOI : 10.1037/13135-000
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.3624
Confluence analysis of means of instrumental sets of variables, Arkiv. for Mathematik, 1945. ,
The central role of the propensity score in observational studies for causal effects, Biometrika, vol.70, issue.1, pp.41-55, 1983. ,
DOI : 10.1093/biomet/70.1.41
The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, pp.386-408, 1958. ,
DOI : 10.1037/h0042519
Estimating causal effects of treatments in randomized and nonrandomized studies., Journal of Educational Psychology, vol.66, issue.5, pp.688-701, 1974. ,
DOI : 10.1037/h0037350
Semiparametric Regression, 2003. ,
DOI : 10.1017/CBO9780511755453
Some Studies in Machine Learning Using the Game of Checkers, IBM Journal of Research and Development, vol.441, 1959. ,
The Meaning of Statistical Demand Curves, 1930. ,
Linear Model Selection by Cross-validation, Journal of the American Statistical Association, vol.39, issue.422, pp.486-494, 1993. ,
DOI : 10.1080/03610927508827223
An Asymptotic Theory for Linear Model Selection, Statistica Sinica, vol.7, pp.221-264, 1997. ,
Boosting, 2012. ,
Smoothing Methods in Statistics, 1996. ,
DOI : 10.1007/978-1-4612-4026-6
An Asymptotic Equivalence of Choice of Model by Cross-Validation and Akaike's Criterion, Journal of the Royal Statistical Society. Series B, vol.39, issue.1, pp.44-47, 1977. ,
Managerial Applications of Neural Networks: The Case of Bank Failure Predictions, Management Science, vol.38, issue.7, pp.926-947, 1992. ,
DOI : 10.1287/mnsc.38.7.926
Neural-Network model for stock forecasting, 1995. ,
Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society, Series B, vol.58, pp.267-288, 1996. ,
DOI : 10.1111/j.1467-9868.2011.00771.x
Solution of incorrectly formulated problems and the regularization method, Soviet Mathematics, vol.4, pp.1035-1038, 1963. ,
Statistical Testing of Business Cycle Theories: A Method and its Application to Investment activity, Business Cycles in the United States of America, 1919?1932. Geneva: League of Nations, 1939. ,
Estimation of Relationships for Limited Dependent Variables, Econometrica, vol.26, issue.1, pp.24-36, 1958. ,
DOI : 10.2307/1907382
Data Mining and Statistics for Decision Making, 2001. ,
DOI : 10.1002/9780470979174
Bias and confidence in not quite large samples, The Annals of Mathematical Statistics, vol.29, pp.614-623, 1958. ,
Statistical Learning Theory, 1998. ,
On the uniform convergence of relative frequencies of events to their probabilities, Theory of Probability and its Applications, pp.264-280, 1971. ,
Big Data: New Tricks for Econometrics, Journal of Economic Perspectives, vol.28, issue.2, pp.3-28, 2014. ,
DOI : 10.1257/jep.28.2.3
URL : https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.28.2.3
Expectile and quantile regression?David and Goliath? Statistical Modelling, pp.433-456, 2014. ,
DOI : 10.1177/1471082x14561155
Smooth regression analysis, Sankhya: The Indian Journal of Statistics, Series A, vol.26, issue.4, pp.359-372, 1964. ,
Adaptive Switching Circuits, IRE WESCON Convention Record, vol.4, pp.96-104, 1960. ,
What Do Statistical "Demand Curves" Show?, The Quarterly Journal of Economics, vol.41, issue.2, pp.212-247, 1927. ,
DOI : 10.2307/1883501