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Journal of Machine Learning Research, ISSN 1532-4435, 05/2012, Volume 13, pp. 1373 - 1392
The problem of ranking is to predict or to guess the ordering between objects on the basis of their observed features. In this paper we consider ranking... 
Convex risk minimization | Empirical process | Excess risk | Support vector machine | U-process | support vector machine | convex risk minimization | PERFORMANCE | empirical process | U-PROCESSES | ASYMPTOTICS | excess risk | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of Econometrics, ISSN 0304-4076, 02/2020, Volume 214, Issue 2, pp. 379 - 412
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2015, Volume 168, pp. 1104 - 1110
In the paper we consider the ranking problem that is popular in the machine learning community. The goal is to predict or to guess the ordering between objects... 
Generalization bound | Entropy condition | Empirical process | U-process | Machine learning | Convex loss function | BOUNDS | CLASSIFICATION | U-PROCESSES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
The Annals of Statistics, ISSN 0090-5364, 6/2003, Volume 31, Issue 3, pp. 880 - 920
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 04/2020, Volume 115, Issue 530, pp. 810 - 821
Journal Article
Journal of Econometrics, ISSN 0304-4076, 10/2014, Volume 182, Issue 2, pp. 235 - 246
This paper studies the identification and estimation of a static binary decision game of incomplete information. We make no parametric assumptions on the joint... 
Modified maximum score estimator | Incomplete information games | Semiparametric identification and estimation | [formula omitted]-process | U-process | ENTRY | INDUSTRY | MARKETS | DISCRETE RESPONSE | U-PROCESSES | INFERENCE | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MODELS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | MULTIPLE EQUILIBRIA
Journal Article
Journal of Econometrics, ISSN 0304-4076, 02/2015, Volume 184, Issue 2, pp. 347 - 360
This paper studies the semiparametric binary response model with interval data investigated by Manski and Tamer (2002). In this partially identified model, we... 
Semiparametric binary response model | [formula omitted]-process | Interval data | Density weights | u-process | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MAXIMUM SCORE ESTIMATOR | SOCIAL SCIENCES, MATHEMATICAL METHODS | U-PROCESSES | ASYMPTOTICS | ECONOMICS | IDENTIFICATION | ECONOMETRIC-MODELS
Journal Article
Journal of Nonparametric Statistics, ISSN 1048-5252, 04/2018, Volume 30, Issue 2, pp. 308 - 331
Journal Article
Journal of Multivariate Analysis, ISSN 0047-259X, 09/2015, Volume 140, pp. 193 - 208
Journal Article
The Review of Economic Studies, ISSN 0034-6527, 4/1998, Volume 65, Issue 2, pp. 261 - 294
This paper develops the method of matching as an econometric evaluation estimator. A rigorous distribution theory for kernel-based matching is presented. The... 
Economic models | Estimation bias | Economic theory | Linear regression | Estimation theory | Polynomials | Econometrics | Estimators | Consistent estimators | Estimation methods | SELECTION BIAS | NONPARAMETRIC REGRESSION | U-PROCESSES | ECONOMICS
Journal Article
Neurocomputing, ISSN 0925-2312, 05/2017, Volume 239, pp. 214 - 222
We investigate properties of estimators obtained by minimization of U-processes with the Lasso penalty in the high-dimensional setting. Our attention is... 
Penalized risk minimization | Oracle inequality | High-dimensional problem | U-process | Sparse model | Machine learning | MINIMIZATION | MODEL | SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Analysis
Journal Article
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 06/2016, Volume 17, Issue 76, pp. 1 - 36
In a wide range of statistical learning problems such as ranking, clustering or metric learning among others, the risk is accurately estimated by U-statistics... 
Rate bound analysis | Empirical risk minimization | U-processes | Big data | Stochastic gradient descent | Sampling design | big data | empirical risk minimization | rate bound analysis | stochastic gradient descent | RANKING | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | sampling design | Machine Learning | Statistics | Computer Science
Journal Article
Biometrika, ISSN 0006-3444, 12/2017, Volume 104, Issue 4, pp. 971 - 986
Semiparametric transformation models with random effects are useful in analysing recurrent and clustered data. With specified error and random effect... 
Censored data | Clustered data | Random effect | Maximum rank correlation | Transformation model | MAXIMUM-LIKELIHOOD-ESTIMATION | ASYMPTOTIC THEORY | STATISTICS & PROBABILITY | U-PROCESSES | FAILURE TIME DATA | FRAILTY MODELS | PROPORTIONAL HAZARDS MODEL | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | REGRESSION-MODEL
Journal Article
Advances in applied probability, ISSN 0001-8678, 12/2012, Volume 44, Issue 4, pp. 907 - 937
Journal Article
Statistica Sinica, ISSN 1017-0405, 2019, Volume 29, Issue 1, pp. 113 - 138
Semiparametric single-index assumptions are widely used dimension reduction approaches that represent a convenient compromise between the parametric and fully... 
Singleindex regression | Kernel smoothing | Conditional law | Lack-of-fit test | U-statistics | lack-of-fit test | single-index regression | REGRESSION-MODELS | kernel smoothing | STATISTICS & PROBABILITY | U-PROCESSES | OF-FIT TEST | Statistics | Mathematics
Journal Article
Journal of Multivariate Analysis, ISSN 0047-259X, 05/2018, Volume 165, pp. 27 - 55
We introduce so-called single-index copulas. They are semi-parametric conditional copulas whose parameter is an unknown link function of a univariate index... 
Single-index models | Kernel smoothing | Conditional Kendall's tau | Conditional copulas | CONDITIONAL COPULA | REGRESSION | SEMIPARAMETRIC ESTIMATION | UNIFORM | STATISTICS & PROBABILITY | U-PROCESSES | CONSISTENCY | MODELS | ESTIMATORS | Physics
Journal Article
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