Publications

To view my list of publications, please visit my page on Google Scholar.

  • Shi, X., Zhang, Y. and Fu, Y. (2023). Two-sample Tests Based on Data Depth. Entropy, 25(2), 238. https://doi.org/10.3390/e25020238
  • Liu, G., Fu, Y., Liu, W. and Mu, R. (2022). Testing Homogeneity in Contaminated Mixture Models. Canadian Journal of Statistics, 50(3), 1034-1046.
  • Qin, S., Sun, B., Wu, Y. and Fu, Y. (2021). Generalized Least-squares in Dimension Dxpansion Method for Nonstationary Processes. Environmetrics, 32(7), e2684, doi.org/10.1002/env.2684
  • Liu, G., Fu, Y., Zhang, J., Pu, X. and Wang, B. (2020). EM-test for Homogeneity in a Two-sample Problem with a Mixture Structure. Journal of Applied Statistics, 47(4), 724-738, doi:10.1080/02664763.2019.1652254
  • Fu, Y., Liu, Y., Wang, H. and Wang, X. (2020). Empirical Likelihood Estimation in Multivariate Mixture Models with Repeated Measurements. Statistical Theory and Related Fields, 4(2), 152-160, doi:10.1080/24754269.2019.1630544
  • Sun, B., Wu, Y., Yang, W. and Fu, Y. (2020). A Note on Semiparametric Approach to Dimension Reduction. Communications in Statistics - Theory and Methods, 49(9), 2295-2304, doi:10.1080/03610926.2019.1576887
  • Niu, X., Li, P. and Fu, Y. (2019). Testing Homogeneity in a Heteroscedastic Contaminated Normal Mixture. Journal of Applied Statistics, 46(8), 1478-1491, doi:10.1080/02664763.2018.1552668
  • Li, X., Fu, Y., Wang, X., DeMeo, D.L., Tantisira, K., Weiss, S.T. and Qiu, W. (2018). Detecting Differential Variable microRNAs via Model-Based Cluster- ing. International Journal of Genomics, vol. 2018, Article ID 6591634, 9 pages, doi.org/10.1155/2018/6591634
  • Li, X., Fu, Y., Wang, X. and Qiu, W. (2018). Robust Joint Score Tests in the Application of DNA Methylation Data Analysis. BMC Bioinformatics, 19, 174, doi.org/10.1186/s12859-018-2185-3
  • Fu, Y., Wang, H. and Wong, A. (2018). Adjusted Empirical Likelihood Method in the Presence of Nuisance Parameters with Application to the Sharpe Ratio. Entropy, 20(5), 316, doi:10.3390/e20050316
  • Liu, G., Fu, Y., Li, P. and Pu, X. (2018). Using Differential Variability to Increase the Power of the Homogeneity Test in a Two-sample Problem. Statistica Sinica, 28, 27-41.
  • Li, X., Qiu, W., Morrow, J., DeMeo, D.L., Weiss, S.T., Fu, Y. and Wang, X. (2015). A Comparative Study of Tests for Homogeneity of Variances with Application to DNA Methylation Data. PLoS ONE, 10(12), e0145295, doi:10.1371/journal.pone.0145295
  • Fu, Y., Li, P. and Chung, S. (2014). Sample Size Calculation for the Modified Likelihood Ratio Test in Genetic Linkage Analysis. Journal of Biometrics and Biostatistics, S12, doi.org/10.4172/2155-6180.S12-002
  • Fu, Y., Wang, H. and Wong, A. (2013). Small Sample Inference for the Correlation in Bivariate Normal with Known Variances. Far East Journal of Theoretical Statistics, 45, 147-164.
  • Fu, Y., Wang, H. and Wong, A. (2013). Inference for the Normal Mean with Known Coefficient of Variation. Open Journal of Statistics, 3, 45-51.
  • Wang, H., Wu, Y., Fu, Y. and Wang, X. (2012). Data Fusion Using Empirical Likelihood. Open Journal of Statistics, 2, 547-556.
  • Chen, J., Li, P. and Fu, Y. (2012). Inference on the Order of a Normal Mixture. Journal of the American Statistical Association, 107(499), 1096-1105.
  • Liu, Y., Li, P. and Fu, Y. (2012). Testing Homogeneity in a Semi-parametric Two-Sample Problem. Journal of Probability and Statistics, vol. 2012, Article ID 537474.
  • Yao, F., Fu, Y. and Lee, T.C.M. (2011). Functional Mixture Regression. Biostatistics, 12(2), 341-353.
  • Miller, N.A., Chapman, J.W., Qian, J., Christens-Barry, W.A., Fu, Y., Yuan, Y., Lickley, H.L.A. and Axelrod, D.E. (2010). Heterogeneity Between Ducts of the Same Nuclear Grade Involved by Duct Carcinoma In Situ (DCIS) of the Breast. Cancer Informatics, 9, 209-216.
  • Cui, Y., Fu, Y. and Hussein, A. (2009). Group Sequential Testing of Homogeneity in Genetic Linkage Analysis. Computational Statistics and Data Analysis, 53(10), 3630- 3639.
  • Zhang, P., Qiu, Z., Fu, Y. and Song, P. (2009). Robust Transformation Mixed- effects Models for Longitudinal Continuous Proportional Data. Canadian Journal of Statistics, 37(2), 266-281.
  • Fu, Y., Chen, J. and Kalbfleisch, J.D. (2009). Modified Likelihood Ratio Test for Homogeneity in a Two-sample Problem. Statistica Sinica, 19, 1603-1619.
  • Fu, Y., Wang, X. and Wu, C. (2009). Weighted Empirical Likelihood Inference for Multiple Samples. Journal of Statistical Planning and Inference, 139(4), 1462-1473.
  • Axelrod, D.E., Miller, N.A., Lickley, H.L.A., Qian, J., Christens-Barry, W.A., Yuan, Y., Fu, Y. and Chapman, J.W. (2008). Effect of Quantitative Nuclear Image Features on Recurrence of Ductal Carcinoma In Situ (DCIS) of the Breast. Cancer Informatics, 6, 99-109.
  • Chen, J., Li, P. and Fu, Y. (2008). Testing Homogeneity in a Mixture of von Mises Distributions with a Structural Parameter. Canadian Journal of Statistics, 36(1), 129-142.
  • Fu, Y., Chen, J. and Li, P. (2008). Modified Likelihood Ratio Test for Homogene- ity in a Mixture of von Mises Distributions. Journal of Statistical Planning and Inference, 138(3), 667-681.
  • Chapman, J.W., Miller, N.A., Lickley, H.L.A., Qian, J., Christen-Barry, W.A., Fu, Y., Yuan, Y. and Axelrod, D.E. (2007). Ductal Carcinoma in Situ of the Breast (DCIS) with Heterogeneity of Nuclear Grade: Prognostic Effects of Quantitative Nuclear Assessment. BMC Cancer, 7:174.
  • Fu, Y., Chen, J. and Kalbfleisch, J.D. (2006). Testing for Homogeneity in Genetic Linkage Analysis. Statistica Sinica, 16, 805-823.

Software

  • R package `DepthQ', Two-sample tests based on data depth. Shi, X., Zhang, Y. and Fu, Y. (2023). Available at here.
  • R package `SpatialDimExp', Dimension Expansion Methods for Nonstationary Spatial Random Process. Qin, S., Sun, B., Wu, Y. and Fu, Y. (2021). Available here.
  • R package `MMDvariance', Detecting Differentially Variable Genes Using the Mixture of Marginal Distributions. Li, X., Fu, Y., Wang, X., DeMeo, D.L., Tantisira, K., Weiss, S.T. and Qiu, W. (2018). Available here.