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  • Search: subject:"Tuning parameter selection"
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Subject
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Tuning parameter selection 2 Adaptive lasso 1 Alzheimer’s disease 1 Ausreißer 1 Canonical correlation analysis 1 Cross validation 1 Dimension reduction 1 Estimation theory 1 Extreme value theory 1 Generalized Pareto distribution 1 Generalized information criterion 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Model averaging 1 Model selection 1 Multivariate regression 1 Optimal weight choice 1 Outliers 1 Pareto efficiency 1 Pareto-Optimum 1 Quasi-maximum likelihood estimation 1 Regularized logistic discrimination 1 Risiko 1 Risk 1 Schätztheorie 1 Selection consistency 1 Statistical distribution 1 Statistische Verteilung 1 Three-dimensional MRI data 1 Tuning parameter selection consistency 1 Tuning parameter selection uncertainty 1
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Undetermined 4
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Article 4
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 3 English 1
Author
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An, Baiguo 1 Araki, Yuko 1 Chan, Kung-sik 1 Guo, Jianhua 1 Kawaguchi, Atsushi 1 Meng, Jin 1 Schomaker, Michael 1 Wang, Hansheng 1 Yamashita, Fumio 1
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Published in...
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Advances in Data Analysis and Classification 1 Computational Statistics & Data Analysis 1 Insurance / Mathematics & economics 1 Statistical Papers / Springer 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Penalized quasi-likelihood estimation of generalized Pareto regression : consistent identification of risk factors for extreme losses
Meng, Jin; Chan, Kung-sik - In: Insurance / Mathematics & economics 104 (2022), pp. 60-75
Persistent link: https://www.econbiz.de/10013264936
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Regularized logistic discrimination with basis expansions for the early detection of Alzheimer’s disease based on three-dimensional MRI data
Araki, Yuko; Kawaguchi, Atsushi; Yamashita, Fumio - In: Advances in Data Analysis and Classification 7 (2013) 1, pp. 109-119
In recent years, evidence has emerged indicating that magnetic resonance imaging (MRI) brain scans provide valuable diagnostic information about Alzheimer’s disease. It has been shown that MRI brain scans are capable of both diagnosing Alzheimer’s disease itself at an early stage and...
Persistent link: https://www.econbiz.de/10010846122
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Multivariate regression shrinkage and selection by canonical correlation analysis
An, Baiguo; Guo, Jianhua; Wang, Hansheng - In: Computational Statistics & Data Analysis 62 (2013) C, pp. 93-107
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for predictors but also for responses. To this end, a novel relationship between multivariate...
Persistent link: https://www.econbiz.de/10010617239
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Shrinkage averaging estimation
Schomaker, Michael - In: Statistical Papers 53 (2012) 4, pp. 1015-1034
We discuss the impact of tuning parameter selection uncertainty in the context of shrinkage estimation and propose a …
Persistent link: https://www.econbiz.de/10010600758
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