yangning.stat.cornell.edu

Yang Ning | Cornell University

Department of Statistical Science. Ithaca, NY 14853. The theme of my research is to develop statistical methods and theory to quantify the uncertainty. Confidence interval and hypothesis test) in modern data sets, which are characterized by high dimensionality, complexity and heterogeneity. I enjoy working at the interface of mathematical statistics. I am also interested in applied projects in genomics, neuroscience, epidemiology and clinical trials. Proudly powered by WordPress.

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Yang Ning | Cornell University | yangning.stat.cornell.edu Reviews

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Department of Statistical Science. Ithaca, NY 14853. The theme of my research is to develop statistical methods and theory to quantify the uncertainty. Confidence interval and hypothesis test) in modern data sets, which are characterized by high dimensionality, complexity and heterogeneity. I enjoy working at the interface of mathematical statistics. I am also interested in applied projects in genomics, neuroscience, epidemiology and clinical trials. Proudly powered by WordPress.

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Yang Ning | Cornell University | yangning.stat.cornell.edu Reviews

https://yangning.stat.cornell.edu

Department of Statistical Science. Ithaca, NY 14853. The theme of my research is to develop statistical methods and theory to quantify the uncertainty. Confidence interval and hypothesis test) in modern data sets, which are characterized by high dimensionality, complexity and heterogeneity. I enjoy working at the interface of mathematical statistics. I am also interested in applied projects in genomics, neuroscience, epidemiology and clinical trials. Proudly powered by WordPress.

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yangning.stat.cornell.edu

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Publication | Yang Ning

http://yangning.stat.cornell.edu/publication

Improving Covariate Balancing Propensity Score: A Doubly Robust and Efficient Approach. Jianqing Fan, Kosuke Imai, Han Liu, Yang Ning. Local and Global Inference for High Dimensional Gaussian Copula Graphical Models. Quanquan Gu, Yuan Cao, Yang Ning. Testing and Confidence Intervals for High Dimensional Proportional Hazards Model. Ethan X. Fang, Yang Ning. On Semiparametric Exponential Family Graphical Models. Zhuoran Yang, Yang Ning. A Conditional Composite Likelihood Ratio Test with Boundary Constraints.

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Biography | Yang Ning

http://yangning.stat.cornell.edu/bio

PhD in Biostatistics, Johns Hopkins University. Dissertation: Nonstandard likelihood based inference. BS in Mathematics, Fudan University, China, 2007. And University of Waterloo. 2012 David P. Byar Young Investigator Award. 2012 ENAR Distinguished Student Paper Award. 2016 IMS Travel Award. Proudly powered by WordPress. Theme: Writr by Automattic.

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Faculty | Cornell University Department of Statistical Science

http://stat.cornell.edu/people/faculty

Cornell Day of Statistics]. Cornell Day of Statistics 2016. Seats are filled, and registration is closed for the Cornell Day of Statistics. The conference will take place at the Statler Hotel in the J. Willard Marriott Executive Education. Our department offers three programs at the undergraduate and graduate levels. Students can earn a BA in either Biometry or Statistics. The MPS offers students the opportunity to. Welcome to the Department of Statistical Science. Professional Societies and Meetings.

stat.cornell.edu

People | Cornell University Department of Statistical Science

http://stat.cornell.edu/people

Cornell Day of Statistics]. Cornell Day of Statistics 2016. Seats are filled, and registration is closed for the Cornell Day of Statistics. The conference will take place at the Statler Hotel in the J. Willard Marriott Executive Education. Our department offers three programs at the undergraduate and graduate levels. Students can earn a BA in either Biometry or Statistics. The MPS offers students the opportunity to. Welcome to the Department of Statistical Science. Professional Societies and Meetings.

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yangning.stat.cornell.edu

Yang Ning | Cornell University

Department of Statistical Science. Ithaca, NY 14853. The theme of my research is to develop statistical methods and theory to quantify the uncertainty. Confidence interval and hypothesis test) in modern data sets, which are characterized by high dimensionality, complexity and heterogeneity. I enjoy working at the interface of mathematical statistics. I am also interested in applied projects in genomics, neuroscience, epidemiology and clinical trials. Proudly powered by WordPress.

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