尹建鑫
教育经历
2004--2009, 北京大学数学科学学院，概率统计系，概率论与数理统计专业，理学博士；
1999--2003，北京大学力学与工程科学系，理论与应用力学专业，理学学士。
2009--2011,美国宾夕法尼亚大学(University of Pennsylvania)，佩雷尔曼医学院，生物统计系，博士后研究员；
主讲课程：
概率论（本科生）、数理统计（本科生）、高等统计学（研究生）。
工作及科研经历：
2012--今，中国人民大学统计学院，副教授；
2011--2012，中国人民大学统计学院，讲师；
2004--2009，北京大学数学科学学院，概率统计系，助研（助教）；
2002--2003，北京大学理论生物学中心、湍流与复杂系统国家重点实验室，本科生研究员。
1999--2003，北京大学力学与工程科学系，理论与应用力学专业，理学学士。
2009--2011,美国宾夕法尼亚大学(University of Pennsylvania)，佩雷尔曼医学院，生物统计系，博士后研究员；
主讲课程：
概率论（本科生）、数理统计（本科生）、高等统计学（研究生）。
工作及科研经历：
2012--今，中国人民大学统计学院，副教授；
2011--2012，中国人民大学统计学院，讲师；
2004--2009，北京大学数学科学学院，概率统计系，助研（助教）；
2002--2003，北京大学理论生物学中心、湍流与复杂系统国家重点实验室，本科生研究员。
尹建鑫论文与书籍
论文与研究报告：
S. He, J. Yin, H. Li and X. Wang (2012).Graphical Model Selection and Estimation for High Dimensional Tensor Data，submitted.
J. Yin and H. Li (2012).Adjusting for High-dimensional Covariates in Sparse Precision Matrix Estimation by L1-Penalization, submitted.
X. Li and J. Yin (2012). Sparse Sufficient Dimension Reduction for Markov Blanket Discovery, Communications in Statistics-Simulation and Computation, minor revision.
J. Yin and H. Li (2012). Model Selection and Estimation in Matrix Normal Graphical Model, Journal of Multivariate Analysis, 107, 119-140.
J. Yin and H. Li (2011). A Sparse Conditional Gaussian Graphical Model for Analysis of Genetical Genomics Data, Annals of Applied Statistics, Vol. 5, No. 4, 2630-2650.
J. Yin, Z. Geng, R. Li and H. Wang(2010).Nonparametric Covariance Model, Statistica Sinica, 20, 469-479.
J.Yin, Y. Zhou, C. Wang,P. He, C. Zheng and Z. Geng(2008). Partial orientation and local structure learning of causal networks for prediction, Journal of Machine Learning Research: Workshop and Conference Proceedings 3: 93-105. (prize-winning paper)
Y. Zhou, C. Wang, J. Yin and Z. Geng(2010). Discover Local Causal Network around a Target to a Given Depth, Journal of Machine Learning Research: Workshop and Conference Proceedings 6: 191-202.
佘振苏,杨铸,欧阳正清, 朱怀球,王超，尹建鑫(2003). SARS冠状病毒的起源和进化初探,北京大学学报（自然科学版）, Vol. 39, No. 6: 809-814.
主持的科研项目：
高维数据的图模型学习与统计推断（No.11201479），国家自然科学基金青年科学基金项目，2013-2015.
学术交流与兼职：
国际生物统计学会中国分会（IBS-China）， 副秘书长 。
国际数理统计学会（IMS）， 成员。
Presentation: Sparse matrix normal graphical model and its extension to tensor data. International Symposium on Statistics & Management Science (ISSMS 2012), July 2012, Huangshan, Anhui Proviance.
Presentation: Penalized estimation and selection for precision matrix and Graphical models. Mini-workshop on statistical machine learning and biosciences in 2012, May 2012, Beijing.
Presentation: Model selection and estimation in Matrix Normal Graphical Model. Joint Statistical Meetings, August 2011,Miami Beach, Florida.
Presentation: Genetic Network Learning in Genetical Genomics Experiments, East North American Region Spring Meeting(ENAR 2010), March 2010, New Orleans, L.A., U.S.
The "Significant Advance on the SIDO dataset for the LOCANET task" Award, 2008 NIPS Causality competition Workbench Team. December 12, 2008, Whistler, Canada.
The "Best Overall Contribution" Award, IEEE World Congress on Computational Intelligence(WCCI) 2008. （http://www.causality.inf.ethz.ch/challenge.php）
Presentation: Partial Orientation and Local Structure Learning of DAGs for Prediction. IEEE WCCI 2008, June 2008, Hong Kong, China.
Presentation: Nonparametric Covariance Model. The first IMS-China Conference on Statistics and Probability, June 2008, Hangzhou, China.
S. He, J. Yin, H. Li and X. Wang (2012).Graphical Model Selection and Estimation for High Dimensional Tensor Data，submitted.
J. Yin and H. Li (2012).Adjusting for High-dimensional Covariates in Sparse Precision Matrix Estimation by L1-Penalization, submitted.
X. Li and J. Yin (2012). Sparse Sufficient Dimension Reduction for Markov Blanket Discovery, Communications in Statistics-Simulation and Computation, minor revision.
J. Yin and H. Li (2012). Model Selection and Estimation in Matrix Normal Graphical Model, Journal of Multivariate Analysis, 107, 119-140.
J. Yin and H. Li (2011). A Sparse Conditional Gaussian Graphical Model for Analysis of Genetical Genomics Data, Annals of Applied Statistics, Vol. 5, No. 4, 2630-2650.
J. Yin, Z. Geng, R. Li and H. Wang(2010).Nonparametric Covariance Model, Statistica Sinica, 20, 469-479.
J.Yin, Y. Zhou, C. Wang,P. He, C. Zheng and Z. Geng(2008). Partial orientation and local structure learning of causal networks for prediction, Journal of Machine Learning Research: Workshop and Conference Proceedings 3: 93-105. (prize-winning paper)
Y. Zhou, C. Wang, J. Yin and Z. Geng(2010). Discover Local Causal Network around a Target to a Given Depth, Journal of Machine Learning Research: Workshop and Conference Proceedings 6: 191-202.
佘振苏,杨铸,欧阳正清, 朱怀球,王超，尹建鑫(2003). SARS冠状病毒的起源和进化初探,北京大学学报（自然科学版）, Vol. 39, No. 6: 809-814.
主持的科研项目：
高维数据的图模型学习与统计推断（No.11201479），国家自然科学基金青年科学基金项目，2013-2015.
学术交流与兼职：
国际生物统计学会中国分会（IBS-China）， 副秘书长 。
国际数理统计学会（IMS）， 成员。
Presentation: Sparse matrix normal graphical model and its extension to tensor data. International Symposium on Statistics & Management Science (ISSMS 2012), July 2012, Huangshan, Anhui Proviance.
Presentation: Penalized estimation and selection for precision matrix and Graphical models. Mini-workshop on statistical machine learning and biosciences in 2012, May 2012, Beijing.
Presentation: Model selection and estimation in Matrix Normal Graphical Model. Joint Statistical Meetings, August 2011,Miami Beach, Florida.
Presentation: Genetic Network Learning in Genetical Genomics Experiments, East North American Region Spring Meeting(ENAR 2010), March 2010, New Orleans, L.A., U.S.
The "Significant Advance on the SIDO dataset for the LOCANET task" Award, 2008 NIPS Causality competition Workbench Team. December 12, 2008, Whistler, Canada.
The "Best Overall Contribution" Award, IEEE World Congress on Computational Intelligence(WCCI) 2008. （http://www.causality.inf.ethz.ch/challenge.php）
Presentation: Partial Orientation and Local Structure Learning of DAGs for Prediction. IEEE WCCI 2008, June 2008, Hong Kong, China.
Presentation: Nonparametric Covariance Model. The first IMS-China Conference on Statistics and Probability, June 2008, Hangzhou, China.
热门人物推荐
热词推荐