Xin Dang

发表

Simulation-based inference methods for partially observed Markov model via the R package is2

Duc Doan, D. Nguyen, Xin Dang, 2018, 1811.02963.

A unified approach for analyzing exchangeable binary data with applications to developmental toxicity studies

Hanxiang Peng, Xin Dang, Stephine Keeton, 2009, Statistics in medicine.

Nonparametric depth-based multivariate outlier identifiers, and masking robustness properties

R. Serfling, Xin Dang, 2010 .

Influence functions of some depth functions, and application to depth-weighted L-statistics

R. Serfling, Xin Dang, Weihua Zhou, 2009 .

THE THEIL-SEN ESTIMATORS IN A MULTIPLE LINEAR REGRESSION MODEL

Heping Zhang, Hanxiang Peng, Xueqin Wang, 2009 .

Two symmetric and computationally e cient

Xin Dang, Courtney Vanderford, Yongli Sang, 2020 .

Symmetric Gini covariance and correlation

Xin Dang, Yongli Sang, Hailin Sang, 2016, 1605.02332.

Gini covariance matrix and its affine equivariant version

Xin Dang, Hailin Sang, L. Weatherall, 2016, 1610.07925.

Black-box sampling for weakly smooth Langevin Monte Carlo using p-generalized Gaussian smoothing.

D. Nguyen, Xin Dang, Anh Doan, 2020, 2002.10071.

Robustness of the Affine Equivariant Scatter Estimator Based on the Spatial Rank Covariance Matrix

Xin Dang, Yixin Chen, Yixin Chen, 2015 .

Empirical likelihood test for diagonal symmetry

Xin Dang, Yongli Sang, 2019, 1908.06892.

Analyzing Serially Correlated Binary Data Using Partially Exchangeable Models

Xin Dang, 2013 .

Improving the power of the Diebold–Mariano–West test for least squares predictions

Walter J. Mayer, F. Liu, Xin Dang, 2017 .

Depth-based weighted jackknife empirical likelihood for non-smooth U-structure equations

Yichuan Zhao, Xin Dang, Yongli Sang, 2019, TEST.

A rank-based Cramér–von-Mises-type test for two samples

Xin Dang, Hailin Sang, Jamye Curry, 2018, Brazilian Journal of Probability and Statistics.

A Jackknife empirical likelihood approach for K‐sample Tests

Yichuan Zhao, Xin Dang, Yongli Sang, 2019, Canadian Journal of Statistics.

Outlier Detection

Yufeng Kou, Chang-Tien Lu, Yixin Chen, 2008, Encyclopedia of GIS.

A new Gini correlation between quantitative and qualitative variables

Junying Zhang, D. Nguyen, Xin Dang, 2018, Scandinavian Journal of Statistics.

Robust Model-based Learning: Methods, Algorithms and Applications

Yixin Chen, Xin Dang, Yixin Chen, 2015 .

A generative Bayesian model to identify cancer driver genes

Yixin Chen, Tina Gui, Zhendong Zhao, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Multivariate Rank-Based Two-Sample Test Statistic

Xin Dang, Hailin Sang, Jamye Curry, 2019, Association for Women in Mathematics Series.

On mutual information estimation for mixed-pair random variables

Xin Dang, Hailin Sang, A. Beknazaryan, 2018, Statistics & Probability Letters.

Jackknife empirical likelihood methods for Gini correlations and their equality testing

Yichuan Zhao, Xin Dang, Yongli Sang, 2018, Journal of Statistical Planning and Inference.

The distribution of partially exchangeable random variables

Hanxiang Peng, Xueqin Wang, Xin Dang, 2010 .

Straightening 3-D Surface Scans of Curved Natural History Specimens for Taxonomic Research

Yixin Chen, H. Bart, Xin Dang, 2013 .

Gini covariance matrix and its affine equivariant version

Xin Dang, Hailin Sang, Lauren Weatherall, 2016, Statistical Papers.

Estimating Feature-Label Dependence Using Gini Distance Statistics

Yixin Chen, Dao Nguyen, Dawn Wilkins, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A numerical study of multiple imputation methods using nonparametric multivariate outlier identifiers and depth-based performance criteria with clinical laboratory data

Xin Dang, Robert Serfling, R. Serfling, 2011 .

Outlier Detection with the Kernelized Spatial Depth Function

Yixin Chen, Hanxiang Peng, Xin Dang, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Depth-Based Novelty Detection and Its Application to Taxonomic Research

Yixin Chen, Hanxiang Peng, Xin Dang, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Asymptotic Normality of Gini Correlation in High Dimension with Applications to the K-sample Problem

Xin Dang, Yongli Sang, 2022, 2203.00081.

Financial ratio selection for business failure prediction using soft set theory

Wei Xu, Zhi Xiao, Xin Dang, 2014, Knowl. Based Syst..

Two symmetric and computationally efficient Gini correlations

Xin Dang, Courtney Vanderford, Yongli Sang, 2020 .

The prediction for listed companies' financial distress by using multiple prediction methods with rough set and Dempster-Shafer evidence theory

Zhi Xiao, Xin Dang, Xianglei Yang, 2012, Knowl. Based Syst..

Graph ranking for exploratory gene data analysis

Yixin Chen, Dawn Wilkins, Xin Dang, 2009, BMC Bioinformatics.

Robust Model-Based Learning via Spatial-EM Algorithm

Yixin Chen, Kai Yu, Xin Dang, 2015, IEEE Transactions on Knowledge and Data Engineering.

Multiclass classification with potential function rules: Margin distribution and generalization

Yixin Chen, Fei Teng, Xin Dang, 2012, Pattern Recognit..

Learning accurate and interpretable models based on regularized random forests regression

Yixin Chen, Sheng Liu, Sanjay Patel, 2014, BMC Systems Biology.

Unadjusted Langevin algorithm for non-convex weakly smooth potentials

Xin Dang, Yixin Chen, Dao Nguyen, 2021, 2101.06369.

Integration of Cancer Data through Multiple Mixed Graphical Model

Yixin Chen, Tina Gui, Dawn Wilkins, 2018, BCB.

Robust clustering in high dimensional data using statistical depths

Yuanyuan Ding, Hanxiang Peng, Dawn Wilkins, 2007, BMC Bioinformatics.

Projection based scatter depth functions and associated scatter estimators

Weihua Zhou, Xin Dang, Xin Dang, 2010, J. Multivar. Anal..

A Unified Approach for Analyzing Exchangeable Binary Data with Applications to Clinical and Developmental Toxicity Studies

Hanxiang Peng, Xueqin Wang, Xin Dang, 2008 .

Pareto cascade modeling of diffusion networks

Yixin Chen, Dawn Wilkins, Christopher Ma, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Outlier Detection with the Kernelized Spatial Depth Function

Yixin Chen, H. Bart, Hanxiang Peng, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A unified approach for analyzing exchangeable binary data with applications to developmental toxicity studies

Hanxiang Peng, Xin Dang, Stephine Keeton, 2009, Statistics in medicine.

Rule based regression and feature selection for biological data

Yixin Chen, Sheng Liu, Sanjay Patel, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Robust and Efficient Boosting Method Using the Conditional Risk

Zhe Luo, Bo Zhong, Zhi Xiao, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Label confidence based AdaBoost algorithm

Yixin Chen, Zhe Luo, Xin Dang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).