Skip to main content Skip to local navigation
Xin Gao
Home » Publications

Publications

  1. Maximilian Wechsung, Frank Konietschke and Xin Gao (2023) Bootstrapping locally constant kernel-based estimators of conditional relative effects, in preparation.
  2. Lyndsay Roach, Helene Massam, Nanwei Wang, and Xin Gao (2023) Bayesian model selection consistency for high-dimensional discrete graphic models, under review.
  3. Guanlin Zhang, Yuehua Wu, and Xin Gao (2023) Bayesian Model Selection via Composite Likelihood for High-dimensional Data Integration. Canadian Journal of Statistics, in press.
  4. Yuan Zhong, Wei Xu, and Xin Gao (2023) Heterogeneous Multi-task Feature Learning with Mixed $\ell_{2,1}$ Regularization, Machine Learning, in press.
  5. Yuan Zhong, Wei Xu, and Xin Gao (2023) Robust Multi-task Feature Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence , under review.
  6. Yaguang Li, Xin Gao and Wei Xu. (2023) Statistical Consistency of High Dimensional Generalized Estimating Equation with L1 regularization. Canadian Journal of Statistics, under review.
  7. Bo Chen, Wei Xu and Xin Gao. (2023) Truncated Cauchy Combination Test: a Robust and Powerful P-value Combination Method with Arbitrary Correlations, under review.
  8. Qiong Li, Nanwei Wang, Xin Gao and Jianxin Pan. (2023) Bayesian Structure Learning for Graphical Models with Symmetry Constrains, under review.
  9. Lyndsay Roach, and Xin Gao. (2023) Graphical Local Genetic Algorithm for High-Dimensional Log-linear Models. Mathematics 11(11), 2514; https://doi.org/10.3390/\\math11112514
  10. Lai Hang, and Xin Gao. (2023) Modified BIC Criterion for Model Selection in Linear Mixed Models. Mathematics, 2023, vol. 11, issue 9, 1-26.
  11. Nanwei Wang, Helene Massam, Xin Gao and Laurent Briollais (2022) The scalable birth-death MCMC algorithm for mixed graphical model learning with application to genomic data integration. Annals of Applied Statistics, in press.
  12. Yawen Xu, Xin Gao and Xiaogang Wang (2022) Nonparametric Clustering of Mixed Data Using Modified Chi-Squared Tests. Entropy, Nov 29;24(12):1749. doi: 10.3390/e24121749.
  13. Gian Alix; Elizabeth Lymer; Guanlin Zhang; Michael Daly; Xin Gao (2022) A comparative performance of machine learning algorithms on laser‐induced breakdown spectroscopy data of minerals. Journal of Chemometrics,2022-04-29 DOI: 10.1002/cem.3400
  14. Konstantinidis, M., Le, L.W., Gao, X. (2022) An Empirical Comparative Assessment of Inter-Rater Agreement of Binary Outcomes and Multiple Raters. Symmetry 2022, 14, 262, https://doi.org/10.3390/sym14020262
  15. Qiong Li, Xiaoying Sun, Nanwei Wang, Xin Gao. (2021) Penalized composite likelihood for colored graphical Gaussian models. Statistical Analysis and Data Mining. https://doi.org/10.1002/sam.11530.
  16. Graphic based high dimensional generalized linear models. Li, Y.G, Xu, W., Gao, X. (2021) Electronic Journal of Statistics. 21-EJS1831 https://doi.org/10.1214/21-EJS1831
  17. On the admissibility of nonparametric simultaneous confidence intervals (2021) Xin Gao, Frank Konietschke, Qiong Li, Symmetry, 13(7), 1212; https://doi.org/10.3390/sym13071212
  18. Wu, S, Gao, X, and Carroll, R.J. (2021) Model selection for Generalized Estimating Equations with Divergent Model Size. Statistical Sinica, DOI: 10.5705/ss.202020.0197,http://www3.stat.sinica.edu.tw/ss_newpaper/SS-2020-0197_na.pdf
  19. Statistical Consistency of High Dimensional Generalized Estimating Equation with L1 regularization.  (2020) Yaguang Li, Xin Gao and Wei Xu. (submitted.)
  20. Compossite likelihood ratio testing under non-standard conditions using tangent cones. (2021) Mahdis Azadbakhsh, Xin Gao, Hanna Jankowski.Stat 10(1),https://onlinelibrary.wiley.com/doi/epdf/10.1002/sta4.375
  21. Li, Q, Gao, X, Massam, H. (2020) Bayesian Model selection for colored Gaussian Graphic Model. Journal of Statistical Computation and Simulation. Published.https://doi.org/10.1080/00949655.2020.1784175
  22. Gao, X and Zhong, Y. (2019) FusioanLearn: A biomarker selection algorithm on cross-platform data.  Bioinformatics. Published. https://pubmed.ncbi.nlm.nih.gov/30918944
  23. Bai, H., Zhong, Y., Gao, X. and Xu, W. (2020) Multivariate mixed response model with pairwise composite likelihood method. STATS. https://doi.org/10.3390/stats3030016
  24. Yuan Zhong, Baoxin Hu, Farah Tasneem, Brent Hall, Wei Xu, Xin Gao. (2020) A generalized linear mixed model approach to assess Emerald Ash Borer diffusion. International Journal of Geo-information. Published.
  25. Menelaos. Konstantinidis, Kristen Cote, Emmanuel Lalla, Guanlin Zhang, Michael Daly, Xin Gao, Peter Dietrich(2019) On the Application of a Novel Linear Mixture Model on Laser-Induced Breakdown Spectroscopy: Implications for Mars. Journal of Chemometrics. Published. https://onlinelibrary.wiley.com/doi/abs/10.1002/cem.3174
  26. H Lai, H.X. Huang, K. Keshavjee, A. Guergachi, Xin Gao (2019) Machine Learning Techniques Outperform Current Diabetes Mellitus Prediction Rules. BMC Endocrine disorders, published.
  27. Wu, S. Zeng, T. and Gao, X. (2019) Quasi-likelihood Bayesian Information Criterion for High Dimensional Generalized Estimation Equation. In preparation.
  28. Xu, Y, Gao, X, Wang, X, and Wong, A (2018) Composite likelihood model comparison test under fixed and local alternatives. STAT, in press.
  29. Gao, X and Konietschke, F (2018) Nonparametric ANOVA test for Repeated Measurement Designs. Revision.
  30. Gao, X and Carroll, R. J. (2017) Data integration with high dimensionality. Biometrika, published. paper pdf file ( The website link for the FusionLearn package: https://cran.r-project.org/web/packages/FusionLearn/index.html. )
  31. Massam, H., Li, Q., Gao, X. (2017). Bayesian precision matrix estimation for graphical
    Gaussian models with edge and vertex symmetries. Biometrika, published.
  32. Azadbakhsh, M., Gao, X. and Jankowski, H, and (2016) Multiple comparisons with composite likelihoods. International Journal of Biostatistics, published.
  33. Gao, X, Cao, Y. and Zhu, HP, et al. (2017) Mixture Markov regression model with application to mosquito survellance. The Biometrical Journal, published.
  34. Li, Q., Gao, X. and Massam, H. (2017) Approximate Bayesian Inference in Large Colored Gaussian Graphical models. Canadian Journal of Statistics: Special Edition on Big Data, published. (Arxiv 1605.08441)
  35. Maheu, C., Esplen, M. J., Dzneladze, I. Gao, X., Bai, H., Eisinger, F. and Julian-Reynier, C., (2016) Empirical Validation of the French Version Genetic Psychosocial Risk Instrument (GPRI-F), Research in Nursing \& Health, published.
  36. Gao, X. (2015) Statistical method for integrative platform analysis: application to integration of proteomic and microarray data. Book chapter for Springer-Edition book: Statistical planning and analysis in proteomics, published.
  37. Maheu, C., Meschino, W., S., Gao, X., Honeyford, J., Ambus, I., Kidd, M., Benea, A., Hu, W., Azadbakhsh, M., Esplen, M. J. (2015) Impact of a psycho-educational telephone intervention on distress among women receiving uninformative BRCA1/2 genetic test results., accepted.
  38. Frasch, M. G., Xu, Y., Stampalija, T., Durosier, L. D., Herry, C., Wang, X., Casati, D., Alfirevic, Z., Gao, X., and Ferrazzi, E. (2014) Intrapartum trans-abdominal ECG predicts acid-base status at birth, Physiological measurements, accepted.
  39. Gao, X and Massam, H (2014)  Estimation of symmetry-constrained Gaussian graphical models: Application to clustered dense networks.  Journal of Computational and Graphical Statistics. Accepted.
  40. Azadbakhsh, M., Jankowski, H, and Gao, X. (2013) ``Calculating confidence intervals for log-concave densities",  Computational Statistics and Data Analysis, accepted.
  41. Abdelrazec, A, Cao, Y, Gao, X, Proctorm, P and Zhu, H. (2013) West Nile Virus Assessment and Forecasting using statistical and dynamical model, {\it Spatial and Temporal Dynamics of Infectious Diseases}, Wiley, accepted.
  42. Li, Q, Massam, H. and Gao, X. (2013) Likelihood Ratio Test of Hardy-Weinberg Equilibrium Using Uncertain Genotypes for Sibship Data, International Journal of Medical Data Mining, in Press.
  43. Gao, X. and Yi, G (2013), Simultaneous model selection and estimation for mean and association structures with clustered binary data, STAT. V2., issue 1, 102-118.
  44. Konietschke, F, Gao, X., and Bathke, A.C. (2013) Comment on Type I error and test power of different tests for testing interaction effects in factorial experiments, Statistica Neerlandica, in press.
  45. Wu, S., Xu, Y., Feng, Z., Wang, X. and , Gao, X. (2012) Multiple-platform data integration method with application to combined analysis of microarray and proteomic data, BMC bioinformatics.
  46. Xin Gao and Hanna Jankowski (2012), Invited discussion of "Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the AIC-BIC dilemma" by van Erven et.al., Journal of the Royal Statistical Society: Series B 74 (3), 405.
  47. Gao, X., Pu, Q.,  Wu, Y. and Xu, H. (2011) Model Selection in Gaussian Graphical Mode with the Smoothly Clipped Absolute Deviation Penalty, Statistica Sinica, in press.
  48. Gao, X.and Song, P. (2011) Composite Likelihood EM Algorithm with Applications to Multivariate Hidden Markov Model. Statistica Sinica, 21, 165-186.
  49. Satyendra Chandra Tripathi1, Jatinder Kaur1, Ajay Matta2, Xin Gao, Bin Sun3,Shyam Singh Chauhan1, Alok Thakar4, Nootan Kumar Shukla5, Ritu Duggal6,Ajoy Roy Choudhary6, Siddhartha DattaGupta7, Mehar Chand Sharma7, Ranju Ralhan2,8,9,10,* and KW Michael Siu2,* Loss of DLC1 is an independent prognostic factor in patients with oral squamous cell carcinoma. Modern pathology, 2011, 1-12.
  50. Feng, Z., Wong, W., Gao, X. and Schenkel, F. (2011) Generalized genetic associationstudy with correlated population,  Annals of Applied Statistics, in press.
  51. Gao, X.and Song, P. (2010) Composite likelihood Bayesian information criteria for model selection in high-dimensional data", Journal of American Statistical Association, 105, 1531-1540.
  52. Gao, X., Lin, L., and Huang, Y. (2009) Application of Model Selection Technique in Chemogenomic Data Analysis. Statistical Analysis and Data Mining, V2(3) 147-208.
  53. Gao, X.,Song, P., and Pu, Q. (2009) Transition Dependency: A Gene-Gene Interaction Measure for Times Series Microarray Data. EURASIP Journal of Bioinformatics and System Biology, Volume 2009, Article ID 535869.
  54. Pham, A. N., Wang, J., Fang, J., Gao, X., Zhang, Y., Blower, P. E., Sade, W., Huang, Y. (2009) Pharmacogenomics approach reveals MRP1 (ABCC1) - mediated resistance to geldanamycins. Pharmaceutical Research, 26(4):936-45.
  55. Gao, X., Xu, H. and Ye, D. (2009) Asymptotic Behaviors of Tail Density for Sum of Correlated Lognormal Variables. International Journal of Mathematics and Mathematical Sciences, in press.
  56. Gao, X.,Alvo, M., Chen, J. and Li, G (2008) Nonparametric Multiple Comparison Procedures For Unbalanced One-Way Factorial Designs. Journal of Statistical Planning and Inference. Vol 138, 2574-2591.
  57. Gao, X.,Alvo, M. (2008) Nonparametric Multiple Comparison Procedures For Unbalanced two-Way Factorial Designs. Journal of Statistical Planning and Inference. Vol 138, pp. 3674-3686.
  58. Szczecinski, L., Xu, H., Gao, X. and Bettancourt, R. (2007). Efficient evaluation of BER for arbitrary modulation and signaling in fading channels. IEEE Transactions on Communications. vol. 55, no. 11, pp. 2061-2064.
  59. Gao, X. (2007) A Nonparametric Procedure for the Two-factor Mixed Model with Missing Data. The Biometrical Journal, Volume 49, Issue 5, Date: October 2007, Pages: 774-788
  60. Gao, X.(2006). Construction of Null Statistics in Permutation based Multiple Testing for Multi-Factorial Microarray Experiments. Bioinformatics, Vol, 22, 1486-1494.
  61. Gao, X. (2006).  Nonparametric Order-restricted Inference for Factorial and Temporal Data.   International Journal of Statistics and Management Systems, Vol. 1, 120-149.
  62. Song, P. , Gao, X., Liu, R. and Le, W. (2006). Nonparametric Inference for Local Extrema With Application to Oligonucleotide Microarray Data in Yeast Genome, Biometrics, 62, 545-54.
  63. Gao, X. and Alvo, M. (2005).  A Unified Nonparametric Approach for Unbalanced Factorial Designs. Journal of the American Statistical Association, Vol. 100, 926-941.
  64. Gao, X. and Song, P. (2005). Nonparametric Tests for Differential Gene Expression and Interaction Effects for Multi-factorial Microarray Experiments, BMC Bioinformtics, Vol. 6:186.
  65. Gao, X.and Alvo, M. (2005). A Nonparametric tests for interaction for two-way layouts. The Canadian Journal of Statistics, Vol. 33, 529-543.
  66. Cheng, R., Ma, J. Z., Wright, F. A., Lin, S. L., Gao, X., Wang, D. L., Elston, R. C. and Li, M. D. (2003). Nonparametric Disequlibrium Mapping of Functional Sites Using Haplotypes of Multiple Tightly Linked Single-Nucleotide Polymorphism Markers. Genetics, 1175-1187.
  67. Peltomki, P., Gao, X. and Mecklin, J. P. (2001). Genotype and phenotype in hereditary nonpolyposis colon cancer: a study of families with different vs. shared predisposing mutations. Familial Cancer, Vol. 1, 9-15.
  68. Huang, J., Kruismanen, S., Liu, T., Chadwick, R., Johnson, C., Richards, S.,Gao, X., Wright, F., Mecklin, J-P., Jarvinen, H., Gronberg, H., Bisgaard, M. L., Linkblom, A. , and Peltomaki, P. (2001). MSH6 and MSH3 are rarely involved in genetic predisposition to non-polypotic colon cancer. Cancer Research, Vol. 61, 1619-1623.
  69. Wang, D., Lin, S., Cheng, R., Gao, X. and Wright, F. A. (2001). Transformation of sib-pair Values for the Haseman-Elston Method. American Journal of Human Genetics, Vol. 68, 1238-1249.
  70. Fruhwald, M. C., O’Dorisio, M. S., Dai, Z., Tanner, S. M., Balster, D. A., Gao, X., Wright, F. A., Plass C. (2001). Aberrant promoter methylation of previously unidentified target genes is a common abnormality in medulloblastomasimplications for tumor biology and potential clinical utility. Oncogene, 5033-5042.
  71. Rush, L. J., Dai, Z., Smiraglia, D. J., Gao, X.,Wright, F. A. Fruhwald, M., Costello,J. F., Held, W. A., Yu, L. , Krahe, R., Kolitz, J. E., Bloomfield, C. D., Caligiuri, M.A. , Plass, C. (2001). Novel methylation targets in de novo acute myeloid leukemia with prevalence of chromosome 11 loci. Blood, 3226-3233.
  72. Smith, W. M., Zhou, X. P., Kurose, K. , Gao, X., Latif, F., Kroll, T. , Sugano, K.,Cannistra, S. A. , Clinton, S. K. , Maher, E. R. , Prior, T. W. , Eng, C. (2001). Opposite association of two PPARG variants with cancer: overrepresentation of H449H in endometrial carcinoma cases and underrepresentation of P12A in renal cell carcinoma cases. Human Genetics (Humangenetik), p. 146-151.
  73. Costello, J. F., Fruhward, M.C., Smiraglia, D.J., Rush, L.J., Robertson, G.P., Gao,X., Wright, F.A. , Feramisco, J.D., Peltomaki, P., Lang, J.C., Schuller, D.E., Yu,L. , Bloomfield, C.D., Caligiuri, M.A. , yates, A. , Nishikawa, R. , Huang, H.-J ,Petrelli, N.J., Zhang, X. , O’Dorisio, M.S., Held, W.A., Cavenee, W. K., Plass, C. (2000). Aberrant CpG island methylation has non-random and tumor type-specific patterns. Nature Genetics, 132-138.
  74. Borrego, S., Ruiz, A., Saez, M. E., Gimm, O., Gao, X., Lopex-Alonso, M., Hernandez,A., Wright, F. A., Antinolo, G., Eng, C. (2000). RET genotypes comprising specific haplotypes of polymorphic variants predispose to isolated Hirschsprung disease. Journal of Medical Genetics, 572-578.
  75. Zhou, X.P., Smith, W.M., Gimm, O., Mueller, E., Sarraf, P., Prior, T. W., Plass, C.,Gao, X., Deimling, A.V., Black, P.M., Yates, A.J., Eng, C.: Over-representation of PPAR sequence variants in sporadic cases of glioblastoma multiforme :Preliminary evidence for common low penetrance modifiers for brain tumour risk in the general population. (2000) Journal of Medical Genetics, 410-414.
  76. Desai, D.C. Lockman, J.C., Chadwick, R. B., Gao, X., Percesepe, A., Gareth,D., Evans, R., Miyaki, M., Yuen, S. T., Radice, P., Maher, E. R., Wright, F. A.,Chapelle, A. de la (2000). Recurrent Germline mutation in MSH2 Arises frequently de novo. Journal of Medical Genetics, 646-652.
  77. Gao, X. (2009) Nonparametric methods for experimental designs. Encyclopedia on research designs, Sage.