Ya-Mei Chang

Ya-Mei Chang

office: Room 446

Phone: (05)2720411#66117

Fax: (05)2720497

Email:  yameic@ccu.edu.tw

Specialized Areas

  •  spatial statistics 
  • environmental statistics
  • machine learning
  

 

Degree Institution

  • PhD, Statistics, National Tsing Hua University(2002/09~2008/07)

Rank

  • Associate Professor

Experience

  • Associate Professor, Department of Mathematics, National Chung Cheng University (2024/08~present)
  • Associate Professor, Department of Statistics, Tamkang University (2014/02~2024/07)
  • Assistant Professor, Department of Statistics, Tamkang University (2011/02~2014/01)
  • Post-doc Fellow, Mathematical and Information Science, CSIRO, Australia (2008/09~2011/01)

Publication

Journal Articles

  1. Chang, Y.-M.* and Hsieh P.-Y.. Using similarity indices for investigating species association in presence-absence data (2024). Journal of Taiwan Intelligent Technologies and Applied Statistics, 22(1), 26-41.
  2. Chang, Y.-M.* and Huang, Y.-C.. Estimating species abundance from presence-absence maps by kernel estimation. (2023) Journal of Agricultural, Biometrical and Environmental Statistics, DOI 10.1007/s13253-023-00589-4, https://link.springer.com/article/10.1007/s13253-023-00589-4
  3. Chang, Y.-M.*, Rakshit, S., Huang, C.-H., and Wu W.-H.. Probabilistic approaches for investigating species co-occurrence from presence-absence maps (2023). PeerJ 11:e15907 https://doi.org/10.7717/peerj.15907.
  4. Baddeley, A.* and Chang, Y.-M.. Robust algorithms for simulating spatial cluster processes (2023). Journal of Statistical Computation and Simulation, 93(12), 1950-1975.
  5. Chang, Y.-M.*, Ho, Y.-Z., and Teng, M.-C.. Spatial prediction for Taiwan PM2.5 data by simple kriging (2022). Journal of the Chinese Statistical Association, 60(3), 162-177.
  6. 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..  Autism risk classification using placental chorionic surface vascular network features (2017). BMC Medical Informatics and Decision Making, 17(162), 1-13.
  7. Baddeley, A.*, Chang, Y.-M., Song, Y. and Turner, R.. Residual diagnostics for covariate effects in spatial point process models (2013). Journal of Computational and Graphical Statistics, 22(4), 886-905.
  8. Chang, Y.-M.*. Spatial distribution of SO2 in Taiwan area (2013). Journal of Taiwan Intelligent Technologies and Applied Statistics, 11(1), 25-34.
  9. Chang, Y.-M.*, Baddeley, A., Wallace, J. and Canci, M.. Spatial statistical analysis of tree deaths using airborne digital imagery (2013). International Journal of Applied Earth Observation and Geoinformation, 21, 418-426.
  10. Baddeley, A.*, Chang, Y.-M. and Song, Y.. Leverage and influence diagnostics for spatial point processes (2013). Scandinavian Journal of Statistics, 40(1), 86-104.
  11. Baddeley, A.*, Chang, Y.-M., Song, Y. and Turner, R.. Nonparametric estimation of the dependence of a spatial point process on spatial covariates (2012). Statistics and Its Interface, 5(2), 221-236.
  12. Hsu, N.-J.*, Chang, Y.-M. and Huang, H.-C.. A group lasso approach for non-stationary spatial-temporal covariance estimation (2012). Environmetrics, 23(1), 12-23.
  13. 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.
  14. 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.

Publication Research Project

  1. Spatial statistical application using national geographic information system data，100-2118-M-032-001-，2011/06~2012/07
  2. Estimating distribution from presence-absence maps using methods of spatial statistics，101-2118 -M -032 -008-，2012/08~2013/07
  3. Poisson-lognormal model for spatial-temporal data，102-2118-M-032-002-，2013/08~2014/07
  4. Bandwidth selection in kernel estimation of relative risk:  an extremely small case data vs. an extremely large control data，103-2118-M-032-003-，2014/08~2015/07
  5. Spatial distribution of Taiwan air pollution- an application of spatial quantile regression，104-2118-M-032-003-，2015/08~2016/07
  6. Spatial point process analysis of dengue fever in Tainan，105-2118-M-032-010-，2016/08~2017/07
  7. Zero-inflated generalized additive model for spatial count data，106-2118-M-032-008-，2017/08~2018/07
  8. Investigating the dependence of two different species  from presence-absence maps，107-2118-M-032-007-，2018/08~2019/07
  9. Using similarity indices for investigating species association in presence-absence data with missing values，111-2635-M-032-001-，2022/08~2024/02
  10. Utilizing spatial statistics and unsupervised learning to analyze tree data in the Fu-Shan plot，113-2118-M-032-003-，2024/08~2025/07