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一、学术论文

  • Shao Q. and Yang L. (2016) Oracally effcient estimation and consistent model selection for auto-regressive moving average time series with trend. Journal of the Royal Statistical Society Series B. DOI: 10.1111/rssb.12170. 
  • Wang J., Wang S., and Yang L. (2016) Simultaneous confdence bands for the distribution function of a fnite population and its superpopulation. TEST 25(4), 692-709
  • Zheng S., Liu R., Yang L. and Härdle W. (2016) Statistical inference for generalized additive models: simultaneous confdence corridors and variable selection. TEST  25(4), 607-626
  • Liu, R. and Yang, L. (2016) Spline estimation of a semiparametric GARCH model. Econometric Theory 32(4), 1023-1054.
  • Yang M., Xue L. and Yang L. (2016) Variable selection for additive model via cumulative ratios of empirical strengths total. Journal of Nonparametric Statistics 28(3), 595-616.
  • Wu H. and Zhu Y. (2016) Deconvolution of base pair level RNA-Seq read counts for quantification of transcript expression levels. Annals of Applied Statistics. (To Appear)
  • 邓柯,陈孟裕,金锋,焦阳,丛林晔,罗季阳,殷杰(2016)中国进口食品风险评估的统计学方法。 《数理统计与管理》 ,已接收。
  • Deng K., Bol P.K., Li K.J., and Liu J.S. (2016) On unsupervised Chinese text mining. Online published in Proceedings of the National Academy of Sciences of USA. DOI: 10.1073/pnas.1516510113.
  • Zang C, Wang T., Deng K., et al (2016) High-dimensional genomic data bias correction and data integration using MANCIE. Online published in Nature Communications. DOI: 10.1038/ncomms11305.
  • Deng K., Li Y., Zhu W., and Liu J.S. (2016) Fast parameter estimation in loss tomography for networks of general topology. Online published in Annals of Applied Statistics. DOI: 10.1214/15-AOAS883.
  • Li D., Ling S., and Zhang R.M. (2016) On a threshold double autoregressive model. Journal of Business & Economic Statistics 34, 68-80.
  • Li D., and Tong H. (2016) Nested sub-sample search algorithm for estimation of threshold models. Statistica Sinica. 26,No.4, 1543-1554.
  • Liu F., Li D., and Kang X.M. (2016) Sample path properties of an explosive double autoregressive model.Econometric Reviews. (To Appear)
  • Hou L., Sun N., Mane S., et al. (2016) Impact of genotyping errors on statistical power of association tests in genomic analyses: A case study. Genetic Epidemiology. (To Appear)
  • Cai T., Giannopoulos A.A., Yu S., Kelil T., Ripley B, Kumamaru K.K., Rybicki F.J., and Mitsouras D.*. (2016) Natural Language Processing Technologies in Radiology Research and Clinical Applications. RadioGraphics, 36(1): 176-191.
  • Yu S.*, Chakrabortty A., Liao K.P., Cai T., Ananthakrishnan A.N., Gainer V.S., Churchill S.E., Szolovits P., Murphy S.N., Kohane I.S., Cai T. (2016) Surrogate-assisted Feature Extraction for High-throughput Phenotyping; Journal of the American Medical Informatics Association; DOI: 10.1093/jamia/ocw135.
  • Yong F.H., Tian L., Yu S., Cai T. and Wei L.J. (2016) Optimal stratification in outcome prediction using baseline information; Biometrika, 103.4: 817-828.
  • Castro V.M., Dligach D., Finan S., Yu S., Can A., Abd-El-Barr M., Gainer V.S., Shadick N.A., Murphy S.N., Cai T., Savova G., Weiss S.T., Du R.*; (2016) Large-scale identification of subjects with cerebral aneurysms using natural language processing; Neurology; 10-1212.

二、科研项目

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三、发明专利

搜索引擎专利《信息检索方法和装置》
功能:根据病历中语意精确寻找符合查询语意的电子病历
发明人:俞声 专利号:ZL 201310200430.3 授权公告日:2016 年 6 月 1 日

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一、学术论文

  • Li D., Ling S. and Zakoïan J.M. (2015) Asymptotic inference in multiple-threshold double autoregressive models. Journal of Econometrics 189, 415-427.
  • Evans B., Gloria-Soria A., Hou L., McBride C., Bonizzoni M., Zhao H., Powell J. (2015) A multipurpose,high-throughput single-nucleotide polymorphism chip for the Dengue and Yellow Fever Mosquito, Aedes aegypti G3, 3(5): 711-718.
  • Castro V., Shen Y., Yu S., Finan S., Pau C.T., Gainer V., Keefe C.C., Savova G., Murphy S.N., Cai T., Welt CK.(2015) Identifcation of subjects with polycystic ovary syndrome using electronic health records. Reproductive Biology and Endocrinology 13(1):1.

二、学术奖励

邓柯教授于 2015 年 11 月受邀于中国数学会第十二届全国会议做统计组特邀报告

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