Ya-Mei Chang

office: Room 446

Phone: (05)2720411#66117

Fax: (05)2720497

Email:  yameic@ccu.edu.tw

• 國立清華大學統計所博士(2002/09~2008/07)

• 國立中正大學數學系， 副教授(2024/08~迄今)
• 私立淡江大學統計學系，副教授(2014/02~2024/07)
• 私立淡江大學統計學系 ， 助理教授(2011/02~2014/01)
• 澳大利亞聯邦科學及產業研究組織(CSIRO) ，博士後研究員(2008/09~2011/01)

期刊論文
1.    Chang,Y.-M.*, Peng, T.-C., Huang X.-Y. and Su, S.-H. (2026). Using Spearman correlation to investigate species co-occurrence in presence-absence data. Journal of the Chinese Statistical Association, 64(2), 190-216.
2.    Chang,Y.-M.* and Wang, Y.-T. (2025). A spatial–temporal model of house prices in northern Taiwan. Mathematics, 13(5), 736; https://doi.org/10.3390/math13050736
3.    Chang, Y.-M.* and Hsieh P.-Y. (2024). Using similarity indices for investigating species association in presence-absence data. Journal of Taiwan Intelligent Technologies and Applied Statistics, 22(1), 26-41.
4.    Chang, Y.-M.* and Huang, Y.-C. (2024). Estimating species abundance from presence-absence maps by kernel estimation. Journal of Agricultural, Biological and Environmental Statistics, 29(4), 812-830.
5.    Chang, Y.-M.*, Rakshit, S., Huang, C.-H., and Wu W.-H. (2023). Probabilistic approaches for investigating species co-occurrence from presence-absence maps. PeerJ 11:e15907 https://doi.org/10.7717/peerj.15907.
6.    Baddeley, A.* and Chang, Y.-M. (2023). Robust algorithms for simulating spatial cluster processes. Journal of Statistical Computation and Simulation, 93(12), 1950-1975.
7.    Chang, Y.-M.*, Ho, Y.-Z., and Teng, M.-C. (2022). Spatial prediction for Taiwan PM2.5 data by simple kriging. Journal of the Chinese Statistical Association, 60(3), 162-177.
8.    Chang, J.-M.*, Zeng, H., Han, R., Chang, Y.-M., Shah, R., Salafia, C. M., Newschaffer, C., Miller, R. K., Katzman, P., Moye, J., Fallin, M., Walker, C. K., and Croen, L. (2017).  Autism risk classification using placental chorionic surface vascular network features. BMC Medical Informatics and Decision Making, 17(162), 1-13.
9.    Baddeley, A.*, Chang, Y.-M., Song, Y. and Turner, R. (2013). Residual diagnostics for covariate effects in spatial point process models. Journal of Computational and Graphical Statistics, 22(4), 886-905.
10.    Chang, Y.-M.* (2013). Spatial distribution of  SO2 in Taiwan area. Journal of Taiwan Intelligent Technologies and Applied Statistics, 11(1), 25-34.
11.    Chang, Y.-M.*, Baddeley, A., Wallace, J. and Canci, M. (2013). Spatial statistical analysis of tree deaths using airborne digital imagery. International Journal of Applied Earth Observation and Geoinformation, 21, 418-426.
12.    Baddeley, A.*, Chang, Y.-M. and Song, Y. (2013). Leverage and influence diagnostics for spatial point processes. Scandinavian Journal of Statistics, 40(1), 86-104.
13.    Baddeley, A.*, Chang, Y.-M., Song, Y. and Turner, R. (2012). Nonparametric estimation of the dependence of a spatial point process on spatial covariates. Statistics and Its Interface, 5(2), 221-236.
14.    Hsu, N.-J.*, Chang, Y.-M. and Huang, H.-C. (2012). A group lasso approach for non-stationary spatial-temporal covariance estimation. Environmetrics, 23(1), 12-23.
15.    Chang, Y.-M., Hsu, N.-J. and Huang, H.-C. (2010). Semiparametric estimation and selection for nonstationary spatial covariance functions. Journal of Computational and Graphical Statistics, 19, 117-139.
16.    Hsu, N.-J., Hung, H.-L. and Chang, Y.-M. (2008). Subset selection for vector autoregressive processes. Computational Statistics and Data Analysis, 52, 3645-3657.