{"id":2622,"date":"2018-09-14T14:05:34","date_gmt":"2018-09-14T18:05:34","guid":{"rendered":"https:\/\/www.med.unc.edu\/bigs2\/?page_id=2622"},"modified":"2024-01-12T06:31:36","modified_gmt":"2024-01-12T11:31:36","slug":"chao-huang","status":"publish","type":"page","link":"https:\/\/www.med.unc.edu\/bigs2\/people\/alumni\/chao-huang\/","title":{"rendered":"Chao Huang"},"content":{"rendered":"
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PhD Student<\/b><\/p>\n

Biostatistics<\/p>\n

Email: chaoh at email dot unc dot edu<\/p>\n

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Education<\/b><\/p>\n

Ph.D in Applied Mathematics, Southeast University <\/i>, Nanjing, China, 02\/2011-06\/2014
\nTitle: Advanced Studies of Some Statistical Inference Problems in Extreme
\nValue Distributions and Medical Images Analysis<\/p>\n

MS in Probability and Statistics, Southeast University <\/i>, Nanjing, China, 09\/2008-01\/2011<\/p>\n

BS in Applied Mathematics, Southeast University <\/i>, Nanjing, China, 09\/2004-06\/2008<\/p>\n<\/div>\n

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Research Interests<\/b>
\nImage data analysis
\nImaging genetics
\nStatistical shape analysis
\nStatistics of extremes
\nMixture model<\/p>\n

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Publications<\/b><\/p>\n

Journal Papers<\/b><\/p>\n

1. Huang C<\/b>., Styner M. Zhu H. T. (2015)
\nClustering High-Dimensional Landmark-based Two-dimensional Shape Data.
\nJournal of the American Statistical Association. Accepted.<\/p>\n

2. Huang C<\/b>., Shan L., Charles C., Wolfgang W., Niethammer M. and Zhu H. T. (2015)
\nDiseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data.
\nIEEE Transactions on Medical Imaging. Accepted.<\/p>\n

3. Huang M. Y., Nichols T., Huang C<\/b>., Yang Y., Lu Z. H., Feng Q. J., Knickmeyer R. C. and Zhu H. T. (2015)
\nFVGWAS: Fast Voxelwise Genome Wide Association Analysis of Large-scale Imaging Genetic Data.
\nNeuroImage. Accepted.<\/p>\n

4. Chen G., Huang C<\/b>. and Lin J. G. (2014)
\nStatistical diagnostics for functional linear regression models with Gaussian process errors.
\nCommunication on Applied Mathematics and Computation. 28(1): 117-126.<\/p>\n

5. Huang C<\/b>. and Lin J. G. (2013)
\nModified maximum spacings method for generalized extreme value distribution and applications in real data analysis.
\nMetrika. 77(7): 867-894.<\/p>\n

6. Huang C<\/b>., Lin J. G. and Ren Y. Y. (2013)
\nTesting for the Shape Parameter of Generalized Extreme Value Distribution Based on the L_q-Likelihood Ratio Statistic.
\nMetrika. 76(5): 641-671.<\/p>\n

7. Zhang K. S., Lin J. G. and Huang C<\/b>. (2013)
\nSome New Results on Weighted Geometric Mean for Copulas.
\nInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 21(2): 277-288.<\/p>\n

8. Huang C.<\/b>, Lin J. G. and Ren Y. Y. (2012)
\nStatistical Inferences for Generalized Pareto Distribution Based on Interior Penalty Function Algorithm and Bootstrap Methods and Applications in Analyzing Stock Data.
\nComputational Economics. 39(2): 173-192.<\/p>\n

9. Lin J. G., Zhuang Q. Y. and Huang C.<\/b> (2012)
\nFuzzy Statistical Analysis of Multiple Regression with Crisp and Fuzzy Covariates and Applications in Analyzing Economic Data of China.
\nComputational Economics. 39(1): 39-49.<\/p>\n

10. Yang Y., Lin J. G., Huang C.<\/b> and Ma X. (2011)
\nThe finite time ruin probability in two non standard renewal risk models with constant interest rate and dependent subexponential claims.
\nJournal of the Korean Statistical Society. 41(2): 213-224.<\/p>\n

11. Lin J. G., Huang C.<\/b>, Zhuang Q. Y. and Zhu L. P. (2010)
\nEstimating generalized state density of near-extreme events and its applications in analyzing stock data. Insurance: Mathematics and Economics. 47, 13-20.<\/p>\n

Conference paper<\/b><\/p>\n

1. Huang C.<\/b>, Shan L., Charles C., Niethammer M. and Zhu H. (2013) Diseased Region Detection of Longitudinal Knee MRI Data.
\nInformation Processing in Medical Imaging. 632-643.<\/p>\n<\/div>\n

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Last updated: Oct. 4, 2018<\/h4>\n<\/div>\n

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Copyright: 2018. The University of North Carolina at Chapel Hill <\/a><\/p>\n

Gillings School of Global Public Health Biostatistics<\/b><\/a><\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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