中国科学院机构知识库网格系统: 检索

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	Model averaging prediction for time series models with a diverging number of parameters 期刊论文 OAI收割 JOURNAL OF ECONOMETRICS, 2021, 卷号: 223, 期号: 1, 页码: 190-221 作者: Liao, Jun; Zou, Guohua; Gao, Yan; Zhang, Xinyu \| 收藏 \| 浏览/下载：62/0 \| 提交时间：2021/10/26 Asymptotic optimality Autoregressive process Consistency Mallows criterion Model averaging
	A Strategy to Assess Quality Consistency of Drug Products 期刊论文 OAI收割 FRONTIERS IN CHEMISTRY, 2019, 卷号: 7, 页码: 7 作者: Qi, Shu Y.; Yao, Shang C.; Yin, Li H.; Hu, Chang Q. \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/06/14 quality consistency critical quality attribute quality standard process variation assessment strategy drug product
	Characterization of Solid-State Drug Polymorphs and Real-Time Evaluation of Crystallization Process Consistency by Near-Infrared Spectroscopy 期刊论文 OAI收割 FRONTIERS IN CHEMISTRY, 2018, 卷号: 6, 页码: 7 作者: Qi, Shu-Ye; Tian, Ye; Zou, Wen-Bo; Hu, Chang-Qin \| 收藏 \| 浏览/下载：56/0 \| 提交时间：2018/12/04 Process Consistency Drug Polymorph Solid-state Nuclear Magnetic Resonance Spectroscopy Near-infrared Spectroscopy Raman Microscopy
	Composite quantile regression estimation for P-GARCH processes 期刊论文 OAI收割 SCIENCE CHINA-MATHEMATICS, 2016, 卷号: 59, 期号: 5, 页码: 977-998 作者: Zhao Biao; Chen Zhao; Tao GuiPing; Chen Min \| 收藏 \| 浏览/下载：54/0 \| 提交时间：2018/07/30 composite quantile regression periodic GARCH process strictly periodic stationarity strong consistency asymptotic normality
	Improved Gaussian process classification via feature space rotation 期刊论文 OAI收割 NEUROCOMPUTING, 2012, 卷号: 83, 页码: 89-97 作者: Wang, Liang; Leckie, Christopher A. 收藏 \| 浏览/下载：20/0 \| 提交时间：2015/08/12 Feature space rotation Isotropic kernel Consistency measure Gaussian process classification
	Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE PSNR and SSIM. 2012 Springer-Verlag London Limited.
	Adaptive varying-coefficient linear models for stochastic processes: Asymptotic theory 期刊论文 OAI收割 STATISTICA SINICA, 2007, 卷号: 17, 期号: 1, 页码: 177-197 作者: Lu, Zudi; Tjostheim, Dag; Yao, Qiwei \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2018/07/30 adaptive varying-coefficient model asymptotic normality beta-mixing empirical process index parameter root-n consistency uniform convergence
	Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang X.; Yang H.-J.; Sui Y.-X.; Yan F.; Yan F. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality symmetry compact support and vanishing moment which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First a decomposition step is taken with the DMWT. After the decomposition step a pyramid for each source image in each level can be obtained. Then an optimized coefficient fusion rule consisting of activity level measurement coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.
	A lack-of-fit test for quantile regression 期刊论文 OAI收割 JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2003, 卷号: 98, 期号: 464, 页码: 1013-1022 作者: He, XM; Zhu, LX \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/07/30 consistency cusum process empirical process goodness-of fit linear regression local alternative resampling