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| 1 | Wavelet estimation of partially linear models显示文摘 | Chang Xiaowei Qu Leming | 2004 | Computational Statistics & Data Analysis2004，47，： | 1 |
| 2 | Copula density estimation by total variation penalized likelihood with linear equality constraints显示文摘 | Qu Leming Yin Wotao | 2012 | Computational Statistics and Data Analysis2012，56，2： | 1 |
| 3 | Wavelet thresholding in partially linear models: a computation and simulation 显示文摘 | Leming Qu | 2003 | Appl Stochastic Models Bus Ind2003，19，： | 1 |
| 4 | Significant variations in alternative splicing patterns and expression profiles between human-mouse orthologs in early embryos显示文摘Human and mouse orthologs are expected to have similar biological functions; however, many discrepancies have also been reported. We systematically compared human and mouse orthologs in terms of alternative splicing patterns and expression profiles. Human-mouse orthologs are divergent in alternative splicing, as human orthologs could generally encode more isoforms than their mouse orthologs. In early embryos, exon skipping is far more common with human orthologs, whereas constitutive exons are more prevalent with mouse orthologs. This may correlate with divergence in expression of splicing regulators. Orthologous expression similarities are different in distinct embryonic stages, with the highest in morula. Expression differences for orthologous transcription factor genes could play an important role in orthologous expression discordance. We further detected largely orthologous divergence in differential expression between distinct embryonic stages. Collectively, our study uncovers significant orthologous divergence from multiple aspects, which may result in functional differences and dynamics between human-mouse orthologs during embryonic development. | Geng Chen Jiwei Chen Jianmin Yang Long Chen Xiongfei Qu Caiping Shi Baitang Ning Leming Shi Weida Tong Yongxiang Zhao Meixia Zhang Tieliu Shi | 2017 | Science China(Life Sciences)2017，60，2： | 1 |
| 5 | Wavelet Estimation of Partially Linear Models显示文摘 | Chang Xiaowen Qu Leming | 2004 | Computational Statistics & Data Analysis2004，47，： | 1 |
| 6 | Skew-t Copula-Based Semiparametric Markov Chains显示文摘Without specifying the structure of a time series,we model the distribution of a multivariate Markov process in discrete time by the corresponding multivariate Markov family and the one-dimensional flows of marginal distributions.Such models tackle simultaneously temporal dependence and contemporaneous dependence between time series.A specific parametric form of stationary copula,namely skew-t copula,is assumed.Skew-t copulas are capable of modeling asymmetry,skewness,and heavy tails.An empirical study with unfiltered daily returns for three stock indices shows that the skew-t copula Markov model provides a better fit than the skew-Normal copula Markov or t-copula Markov model,and the skew-t copula model without Markov property. | Leming QU | 2020 | Journal of Mathematical Research with Applications2020，40，6： | 0 |
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