18. Xia, M., Akakpo, R. M., and Albaugh, M., 2023. Maximum likelihood approaches to misrepresentation models in GLM ratemaking: model comparisons, Variance (The Journal of the Casualty Actuarial Society), 16(1), 1–26. R package "glmMisrep" by Rafael, R., Xia, M. and Akakpo, R .
17. Xia, M. and Akakpo, R. M., 2022. A Bayesian approach to simultaneous adjustment of misclassification and missingness in categorical covariates, Statistical Methods in Medical Research, 31(8), 1449–1469.
16. Chen, L., Su, J., and Xia, M. 2021. Two-part Models for Assessing Insurance Misrepresentation, European Actuarial Journal, 11(2), 503–539.
15. Xia, M., Hahn, P. R. and Gustafson, P., 2020. A Bayesian mixture of experts approach to covariate misclassification, The Canadian Journal of Statistics, 48(4), 731–750.
14. Akakpo, R. M., Xia, M. and Polansky, A. M., 2019. Frequentist inference in insurance ratemaking models adjusting for misrepresentation, ASTIN Bulletin: The Journal of the International Actuarial Society, 49, 117–146.
13. Xia, M. and Gustafson, P., 2018. Bayesian inference for unidirectional misclassification of a binary response trait, Statistics in Medicine, 37(6), 933–947.
12. Xia, M., Hua, L. and Vadnais, G., 2018. Embedded predictive analysis of misrepresentation risk in GLM ratemaking models, Variance (The Journal of the Casualty Actuarial Society), 12(1), 39–58.
11. Xia, M., 2018. Bayesian adjustment for insurance misrepresentation in heavy-tailed loss regression. Risks, 6(3), 83 (pages 1–16).
10. Tang, Y., Xia, M., Sun, L., Spertus, J. A. and Jones, P. G., 2018. A general framework for constraint approaches to adjusted risk differences, Biometrical Journal, 60(1), 207–215.
9. Sun, L., Xia, M., Tang, Y. and Jones, P. G., 2017. Bayesian adjustment for unidirectional misclassification in ordinal covariates, Journal of Statistical Computation and Simulation, 87(18), 3440–3468.
8. Hua, L. and Xia, M. and Basu, S., 2017. Factor copula approaches for assessing spatially dependent high-dimensional risks, North American Actuarial Journal, 21(1), 147–160.
7. Ebrahimi, N. and Xia, M. and Hua, L., 2016. Assessing component reliability using lifetime data from systems, Journal of Statistical Computation and Simulation, 86(18), 3791–3814.
6. Xia, M. and Gustafson, P., 2016. Bayesian regression models adjusting for unidirectional covariate misclassification, The Canadian Journal of Statistics, 44(2), 198–218.
5. Xia, M. and Scollnik, D. P. M., 2015. A Bayesian mixture model accounting for zeros and negatives in the loss triangle, International Journal of Statistics and Probability, 4(2), 10–23.
4. Hua, L. and Xia, M., 2014. Assessing high-risk scenarios by full-range tail dependence copulas, North American Actuarial Journal, 18(3), 363–378.
3. Xia, M. and Gustafson, P., 2014. Bayesian sensitivity analyses for hidden sub-populations in weighted sampling, The Canadian Journal of Statistics, 42(3), 436–450.
2. Gustafson, P., Gilbert, M, Xia, M., Michelow, W., Robert, W., Trussler, T., McGuire, M., Paquette, D., Moore, D., and Gustafson, R., 2013. Impact of statistical adjustment for frequency of venue attendance in a venue-based survey of men who have sex with men, The American Journal of Epidemiology, 117, 1157–1164.
1. Xia, M. and Gustafson, P., 2012. A Bayesian method for estimating prevalence in the presence of a hidden sub-population, Statistics in Medicine, 31(21), 2386–98.