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  • Search: subject:"Data-Adaptive"
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Year of publication
Subject
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Bike-Sharing System 1 Central subspace 1 Data-Adaptive 1 Data-adaptive synthesization 1 Local logistic regression 1 Missing recovery 1 Missing response at random 1 Multiple imputation 1 Self-Organization 1 Simulation 1 causal inference 1 data adaptive tuning parameters 1 data-adaptive target parameter 1 discrimination 1 local average treatment effect 1 localized discrimination 1 selection of predictors 1 superefficiency 1
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Online availability
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Free 3 CC license 1 Undetermined 1
Type of publication
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Article 2 Book / Working Paper 2
Type of publication (narrower categories)
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Conference Paper 1 Working Paper 1 research-article 1
Language
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English 3 Undetermined 1
Author
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Aronow, Peter M. 1 Binder, Harald 1 Dethlefs, Tim 1 Guo, Xu 1 Preisler, Thomas 1 Renz, Wolfgang 1 Tutz, Gerhard 1 Wang, Tao 1 Xu, Wangli 1 Zhu, Lixing 1
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Published in...
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Computational Statistics & Data Analysis 1 Discussion Paper 1 Journal of Causal Inference 1
Source
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EconStor 2 RePEc 1 Other ZBW resources 1
Showing 1 - 4 of 4
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Data-Adaptive Causal Effects and Superefficiency
Aronow, Peter M. - In: Journal of Causal Inference 4 (2016) 2
subpopulation, often for reasons of efficiency. These inferential targets are sometimes data-adaptive, in that they are dependent on … average causal effect is superefficient for a data-adaptive local average causal effect.  …
Persistent link: https://www.econbiz.de/10014610844
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Data-Adaptive Simulation: Cooperativeness of Users in Bike-Sharing Systems
Preisler, Thomas; Dethlefs, Tim; Renz, Wolfgang - 2015
parameters can be determined such as the rush of users for a station given as a function over time. Here, we propose a data-adaptive … simulation approach to measure the impact of different cooperativeness parameters. The proposed approach realizes a data-adaptive …
Persistent link: https://www.econbiz.de/10012143059
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Dimension reduction with missing response at random
Guo, Xu; Wang, Tao; Xu, Wangli; Zhu, Lixing - In: Computational Statistics & Data Analysis 69 (2014) C, pp. 228-242
the dimension in the nonparametric smoothing in data generation. A data-adaptive synthesization of these two methods is …
Persistent link: https://www.econbiz.de/10010709953
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Localized regression
Tutz, Gerhard; Binder, Harald - 2004
The main problem with localized discriminant techniques is the curse of dimensionality, which seems to restrict their use to the case of few variables. This restriction does not hold if localization is combined with a reduction of dimension. In particular it is shown that localization yields...
Persistent link: https://www.econbiz.de/10010266137
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