Search Results - subject:"High Dimensional Data"

An image-based multivariate generalized likelihood ratio control chart for detecting and diagnosing multiple faults in manufactured products

He, Zhen; Zuo, Ling; Zhang, Min; Megahed, Fadel M. - In: International journal of production research 54 (2016) 5/6, pp. 1771-1784

Persistent link: https://www.econbiz.de/10011498194

Testing a single regression coefficient in high dimensional linear models

Lan, Wei; Zhong, Ping-Shou; Li, Runze; Wang, Hansheng; … - In: Journal of econometrics 195 (2016) 1, pp. 154-168

Persistent link: https://www.econbiz.de/10011705246

Lassoing the determinants of retirement

Kallestrup-Lamb, Malene; Kock, Anders Bredahl; … - In: Econometric reviews 35 (2016) 8/10, pp. 1522-1561

Persistent link: https://www.econbiz.de/10011592371

Testing predictor significance with ultra high dimensional multivariate responses

Ma, Yingying; Lan, Wei; Wang, Hansheng - In: Computational Statistics & Data Analysis 83 (2015) C, pp. 275-286

We consider here the problem of testing the effect of a subset of predictors for a regression model with predictor dimension fixed but ultra high dimensional responses. Because the response dimension is ultra high, the classical method of likelihood ratio test is no longer applicable. To solve...

Persistent link: https://www.econbiz.de/10011117693

Optimal combination of survey forecasts

Conflitti, Cristina; De Mol, Christine; Giannone, Domenico - In: International journal of forecasting 31 (2015) 4, pp. 1096-1103

Persistent link: https://www.econbiz.de/10011474905

Exploring technological opportunities by mining the gaps between science and technology : microalgal biofuels

Wang, Ming-Yeu; Fang, Shih Chieh; Chang, Yu-Hsuan - In: Technological forecasting & social change : an … 92 (2015), pp. 182-195

Persistent link: https://www.econbiz.de/10011389639

Testing the diagonality of a large covariance matrix in a regression setting

Lan, Wei; Luo, Ronghua; Tsai, Chih-Ling; Wang, Hansheng; … - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 1, pp. 76-86

Persistent link: https://www.econbiz.de/10011389730

Adaptive modeling procedure selection by data perturbation

Zhang, Yongli; Shen, Xiaotong - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 4, pp. 541-551

Persistent link: https://www.econbiz.de/10011403235

Oracle inequalities for high dimensional vector autoregressions

Kock, Anders Bredahl; Callot, Laurent - In: Journal of econometrics 186 (2015) 2, pp. 325-344

Persistent link: https://www.econbiz.de/10011349464

Partition clustering of High Dimensional Low Sample Size data based on P-Values

Von Borries, George Freitas - 2008

. Current algorithms show poor performance when applied to high dimensional data, especially in small sample size cases. In … traditional clustering algorithms used in high dimensional data are not robust to monotone transformations. The proposed …

Persistent link: https://www.econbiz.de/10009464047