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  • Search: subject:"low sample size"
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High dimension 2 Sampling 2 Stichprobenerhebung 2 low sample size 2 Consistency 1 Consistency and strong inconsistency 1 Cross-sectional dependence 1 Difference of Convex functions programming 1 Entropie 1 Entropy 1 Estimation 1 Estimation theory 1 Feature selection 1 Fractional-norm SVM 1 Geometric representation 1 Heterogeneous panels 1 High Dimension Low Sample Size 1 Independence test 1 Low sample size 1 Low sample size high dimensional data set 1 Panel 1 Panel study 1 Principal component analysis 1 Regression analysis 1 Regressionsanalyse 1 Reweighted L1-norm SVM 1 Schätztheorie 1 Schätzung 1 Simultaneous limits 1 Sparse PCA 1 Spiked covariance model 1 Statistical test 1 Statistischer Test 1 Support vector machine 1 Theorie 1 Theory 1 ill-posed problems 1 interval-valued optimisation 1 maximum entropy 1 multicollinearity 1
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Article 5
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Article in journal 2 Aufsatz in Zeitschrift 2
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Undetermined 3 English 2
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Marron, J.S. 2 Doole, Graeme J. 1 Gray, Alexander 1 Guan, Wei 1 Jung, Sungkyu 1 Mao, Guangyu 1 Sen, Arusharka 1 Shen, Dan 1 Shen, Haipeng 1
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Journal of Multivariate Analysis 2 Computational Statistics & Data Analysis 1 International journal of computational economics and econometrics 1 The econometrics journal 1
Source
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RePEc 3 ECONIS (ZBW) 2
Showing 1 - 5 of 5
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A robust generalised maximum entropy estimator for ill-posed estimation problems
Doole, Graeme J. - In: International journal of computational economics and … 8 (2018) 2, pp. 129-143
Persistent link: https://www.econbiz.de/10011865275
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Testing for error cross-sectional independence using pairwise augmented regressions
Mao, Guangyu - In: The econometrics journal 19 (2016) 3, pp. 237-260
Persistent link: https://www.econbiz.de/10011712269
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Consistency of sparse PCA in High Dimension, Low Sample Size contexts
Shen, Dan; Shen, Haipeng; Marron, J.S. - In: Journal of Multivariate Analysis 115 (2013) C, pp. 317-333
increasing dimension (i.e. High Dimension, Low Sample Size (HDLSS)). We consider the previously studied single spike covariance …
Persistent link: https://www.econbiz.de/10010608101
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Sparse high-dimensional fractional-norm support vector machine via DC programming
Guan, Wei; Gray, Alexander - In: Computational Statistics & Data Analysis 67 (2013) C, pp. 136-148
This paper considers a class of feature selecting support vector machines (SVMs) based on Lq-norm regularization, where q∈(0,1). The standard SVM [Vapnik, V., 1995. The Nature of Statistical Learning Theory. Springer, NY.] minimizes the hinge loss function subject to the L2-norm penalty....
Persistent link: https://www.econbiz.de/10011056518
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Boundary behavior in High Dimension, Low Sample Size asymptotics of PCA
Jung, Sungkyu; Sen, Arusharka; Marron, J.S. - In: Journal of Multivariate Analysis 109 (2012) C, pp. 190-203
In High Dimension, Low Sample Size (HDLSS) data situations, where the dimension d is much larger than the sample size n …
Persistent link: https://www.econbiz.de/10011042061
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