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Novel Methods for Multivariate Ordinal Data applied to Genetic Diplotypes, Genomic Pathways, Risk Profiles, and Pattern Similarity
Wittkowski, Knut M. - Volkswirtschaftliche Fakultät, … - 2003
the likelihood of a person being identified. Methods: In 1998, we developed a nonparametric method for analyzing …
Persistent link: https://www.econbiz.de/10005836436
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On empirical likelihood option pricing
Zhong, Xiaolong; Cao, Jie Jay; Jin, Yong; Zheng, Wei - In: Journal of risk 19 (2017) 5, pp. 41-53
Persistent link: https://www.econbiz.de/10011747102
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Nonparametric confidence intervals for functions of several distributions
Withers, C. - In: Annals of the Institute of Statistical Mathematics 40 (1988) 4, pp. 727-746
Persistent link: https://www.econbiz.de/10005395855
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Three Essays in Applied Econometrics
Murao, Hiroshi - 2008
nonparametric regression method together with some advanced techniques in order to deal with potential problems. The second essay … capital accumulation and productive improvements? Our approach to the question utilizes a nonparametric derivative estimation …
Persistent link: https://www.econbiz.de/10009430891
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Nonparametric discriminant analysis for face recognition
Li, Zhifeng; Lin, Dahua; Tang, Xiaoou - 2008
In this paper, we develop a new framework for face recognition based on nonparametric discriminant analysis (NDA) and … matrices to extend the two-class nonparametric discriminant analysis to multi-class cases. Then, we develop two more improved …
Persistent link: https://www.econbiz.de/10009433068
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Multiscale testing of qualitative hypotheses
Dümbgen, Lutz; Spokoiny, Vladimir G. - 1999
qualitative nonparametric hypotheses about f such as monotonicity or concavity. These tests are asymptotically optimal and …
Persistent link: https://www.econbiz.de/10010310020
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Nonparametric identification and semiparametric estimation of classical measurement error models without side information
Schennach, S. M.; Hu, Yingyao - 2012
establish that the fully nonparametric classical errors-in-variables model is identifiable from data on the regressor and the … error in nonlinear and nonparametric models, opening the way to a novel and practical approach to correct for measurement …
Persistent link: https://www.econbiz.de/10010318690
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Nonparametric Methods for Point Processes and Geostatistical Data
Kolodziej, Elizabeth Young - 2010
In this dissertation, we explore the properties of correlation structure for spatio-temporalpoint processes and a quantitative spatial process. Spatio-temporal pointprocesses are often assumed to be separable; we propose a formal approach for testingwhether a particular data set is indeed...
Persistent link: https://www.econbiz.de/10009465243
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Do former college athletes earn more at work? A nonparametric assessment
Henderson, Daniel J.; Olbrecht, Alexandre; Polachek, … - 2005
using newly developed techniques in nonparametric regression, it shows that on average former college athletes earn a wage …
Persistent link: https://www.econbiz.de/10010276244
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A powerful tuning parameter free test of the autoregressive unit root hypothesis
Nielsen, Morten - 2008
This paper presents a family of simple nonparametric unit root tests indexed by one parameter, d, and containing … nonparametric test is relatively close to the parametric power envelope, particularly in the case with a linear timetrend …
Persistent link: https://www.econbiz.de/10010292072