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Xin Dang, Ph.D. - Publications

Affiliations: 
2005 University of Texas at Dallas, Richardson, TX, United States 
Area:
Statistics
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22 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Sang Y, Dang X. Empirical likelihood test for diagonal symmetry Statistics & Probability Letters. 156: 108595. DOI: 10.1016/J.Spl.2019.108595  0.377
2019 Zhang S, Dang X, Nguyen D, Wilkins D, Chen Y. Estimating Feature-Label Dependence Using Gini Distance Statistics. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 31869782 DOI: 10.1109/Tpami.2019.2960358  0.414
2019 Beknazaryan A, Dang X, Sang H. On mutual information estimation for mixed-pair random variables Statistics & Probability Letters. 148: 9-16. DOI: 10.1016/J.Spl.2018.12.011  0.342
2019 Sang Y, Dang X, Zhao Y. Jackknife empirical likelihood methods for Gini correlations and their equality testing Journal of Statistical Planning and Inference. 199: 45-59. DOI: 10.1016/J.Jspi.2018.05.004  0.414
2019 Sang Y, Dang X, Zhao Y. Depth-based weighted jackknife empirical likelihood for non-smooth U-structure equations Test. 29: 573-598. DOI: 10.1007/S11749-019-00667-1  0.407
2017 Xiao Z, Luo Z, Zhong B, Dang X. Robust and Efficient Boosting Method Using the Conditional Risk. Ieee Transactions On Neural Networks and Learning Systems. PMID 28678719 DOI: 10.1109/Tnnls.2017.2711028  0.396
2017 Mayer WJ, Liu F, Dang X. Improving the power of the Diebold–Mariano–West test for least squares predictions International Journal of Forecasting. 33: 618-626. DOI: 10.1016/J.Ijforecast.2017.01.008  0.311
2016 Sang Y, Dang X, Sang H. Symmetric Gini covariance and correlation Canadian Journal of Statistics. 44: 323-342. DOI: 10.1002/Cjs.11287  0.423
2015 Yu K, Dang X, Bart H, Chen Y. Robust model-based learning via spatial-EM algorithm Ieee Transactions On Knowledge and Data Engineering. 27: 1670-1682. DOI: 10.1109/Tkde.2014.2373355  0.38
2015 Yu K, Dang X, Chen Y. Robustness of the affine equivariant scatter estimator based on the spatial rank covariance matrix Communications in Statistics - Theory and Methods. 44: 914-932. DOI: 10.1080/03610926.2012.755198  0.36
2014 Liu S, Dissanayake S, Patel S, Dang X, Mlsna T, Chen Y, Wilkins D. Learning accurate and interpretable models based on regularized random forests regression. Bmc Systems Biology. 8: S5. PMID 25350120 DOI: 10.1186/1752-0509-8-S3-S5  0.321
2014 Xu W, Xiao Z, Dang X, Yang D, Yang X. Financial ratio selection for business failure prediction using soft set theory Knowledge-Based Systems. 63: 59-67. DOI: 10.1016/J.Knosys.2014.03.007  0.376
2012 Teng F, Chen Y, Dang X. Multiclass classification with potential function rules: Margin distribution and generalization Pattern Recognition. 45: 540-551. DOI: 10.1016/J.Patcog.2011.05.009  0.345
2012 Xiao Z, Yang X, Pang Y, Dang X. The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory Knowledge-Based Systems. 26: 196-206. DOI: 10.1016/J.Knosys.2011.08.001  0.33
2011 Dang X, Serfling R. A numerical study of multiple imputation methods using nonparametric multivariate outlier identifiers and depth-based performance criteria with clinical laboratory data Journal of Statistical Computation and Simulation. 81: 547-560. DOI: 10.1080/00949650903437842  0.593
2010 Peng H, Dang X, Wang X. The distribution of partially exchangeable random variables Statistics and Probability Letters. 80: 932-938. DOI: 10.1016/J.Spl.2010.02.003  0.324
2010 Dang X, Serfling R. Nonparametric depth-based multivariate outlier identifiers, and masking robustness properties Journal of Statistical Planning and Inference. 140: 198-213. DOI: 10.1016/J.Jspi.2009.07.004  0.605
2010 Zhou W, Dang X. Projection based scatter depth functions and associated scatter estimators Journal of Multivariate Analysis. 101: 138-153. DOI: 10.1016/J.Jmva.2009.06.004  0.328
2009 Dang X, Keeton SL, Peng H. A unified approach for analyzing exchangeable binary data with applications to developmental toxicity studies. Statistics in Medicine. 28: 2580-604. PMID 19548299 DOI: 10.1002/Sim.3638  0.385
2009 Chen Y, Dang X, Peng H, Bart HL. Outlier detection with the kernelized spatial depth function. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 288-305. PMID 19110494 DOI: 10.1109/Tpami.2008.72  0.437
2009 Dang X, Serfling R, Zhou W. Influence functions of some depth functions, and application to depth-weighted L-statistics Journal of Nonparametric Statistics. 21: 49-66. DOI: 10.1080/10485250802447981  0.581
2007 Ding Y, Dang X, Peng H, Wilkins D. Robust clustering in high dimensional data using statistical depths. Bmc Bioinformatics. 8: S8. PMID 18047731 DOI: 10.1186/1471-2105-8-S7-S8  0.314
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