Welcome to Chae Young Lim's Homepage

Chae Young Lim

C426 Wells Hall
Department of Statistics and Probability
Michigan State University
East Lansing, MI 48824-1027

Phone: 517-353-7154
Fax: 517-432-1405

[ Biography | Research | Links ]


Biography
  • Ph.D. in Statistics, The University of Chicago, 2007
  • M.Ed. in Mathematics Education, Seoul National University, 2000
  • B.Sc. in Mathematics Education, Seoul National University,1997
  • More in CV

  • Research
    Interests
  • Spatial Statistics, Spatial Epidemiology, Environmental Statistics, Spectral Analysis and Fixed-domain Asymptotics
  • Peer-Reviewed Journals
    (* is a student author.)
    1. Zhang*, Z., Lim, C. and Maiti, T. Analyzing 2000-2010 Childhood Age-adjusted Cancer Rates in Florida: A Spatial Clustering Approach. Accepted by Statistics and Public Policy
    2. Dass. S. C. Lim, C. , Maiti, T. and Zhang*, Z. Clustering Curves based on Change point analysis : A Nonparametric Bayesian Approach. Accepted by Statistica Sinica
    3. Dass, S. C. Lim, C. and Maiti, T. A Generalized Mixed Model Framework for Assessing Fingerprint Individuality in Presence of Varying Image Quality. Accepted by Annals of Applied Statistics
    4. Maiti, T., Ren, H., Dass, S. C., Lim, C. and Maier, K. S. Clustering-Based Small Area Estimation: An Application to MEAP Data. Accepted by Calcutta Statistical Association Bulletin
    5. Lim, C. , Meerschaert, M. M. and Scheffler, H.-P. (2014) Parameter estimation for operator scaling random fields. Journal of Multivariate Analysis 124 pp. 172-183. [link]
    6. Wu*, W., Lim, C. and Xiao, Y. (2013) Tail Estimation of the Spectral Density for a Stationary Gaussian Random Field. Journal of Multivariate Analysis 116 pp.74-91. [link]
    7. Dey, T. and Lim, C. (2013) Comparisons of Computational Methods for Clustered Binary Data. Journal of Statistical Computation and Simulation doi:10.1080/00949655.2012.678852 [link]
    8. Dass, S. C., Lim, C. and Maiti, T. (2012) Default Bayesian Analysis for Multivariate Generalized CAR Models. Statistica Sinica 22 pp.231-248. [link]
    9. Lim, C. and Dass, S. C. (2011) Assessing Fingerprint Individuality Using EPIC: A Case Study in the Analysis of Spatially Dependent Marked Processes. Technometrics 53 pp.112-124. Featured article of the issue. [link]
    10. Lim, C., Stein, M. L., Ching, J. and Tang, R. (2010) Statistical properties of differences between low and high resolution CMAQ runs with matched initial and boundary conditions. Environmental Modelling & Software 25 pp.158-169. [link]
    11. Chakraborty, P., Meerschaert, M. M. and Lim, C. (2009) Parameter Estimation for Fractional Transport: A Particle Tracking Approach. Water Resources Research 45 W10415, doi:10.1029/2008/2008WR007577 [link]
    12. Guo, H., Lim, C. and Meerschaert, M. M. (2009) Local Whittle estimator for anisotropic random fields. Journal of Multivariate Analysis 100 pp.993-1028. [link]
    13. Lim, C. and Stein, M. L. (2008) Properties of spatial cross-periodograms using fixed-domain asymptotics. Journal of Multivariate Analysis 99 pp.1962-1984. [link]
    Working Papers
    1. Feng*, W, Lim, C. and Maiti, T. Simultaneous Estimation of Disease Risks and Spatial Clustering: A Hierarchical Bayes Approach.
    2. Dass. S. C. and Lim, C. A Semi-Parametric Hierarchical Bayes Approach for Assessing the Extent of Fingerprint Uniqueness.
    3. Wu*, W. and Lim, C. Estimation of smoothness of a stationary Gaussian random field.
    4. Pramanik, S., Watve, A., Jung, S. and Lim, C. Data Independent Vantage Point Selection For Range Queries.
    5. Gharahi, H., Zambrano, B.A., Lim, C., Choi, J., Lee, W., Baek, S. On growth measurements of abdominal aortic aneurysms using maximally inscribed sphere.
    6. Nandy*, S., Lim, C. and Maiti, T. Additive model building for spatial regression.
    7. Do, H. N., Jadaliha, M., Choi, J. and Lim, C. Feature selection for robot position estimation using an omnidirectional camera.
    8. Zambrano, B. A., Gharahi, H., Lim, C. , Choi, J. Lee, W., Baek, S. Association of intra- luminal thrombus layer with abdominal aortic aneurysm expansion using longitudinal CT images.
    9. Feng*, W., Lim, C. and Maiti, T. Variable Selection for Binary Spatial Regression: Penalized Quasi-Likelihood Approach.
    Other Publications
    1. Lim, C. (2011) Book Review of "Handbook of Spatial Statistics" by Alan E. Gelfand, Peter J. Diggle, Montserrat Fuentes and Peter Guttorp (eds.) Journal of the American Statistical Association 106 pp.1637-1648.
    2. Dass, S. C., Lim, C. and Maiti, T. (2011) A Generalized Mixed Model Framework for Assessing Fingerprint Individuality in Presence of Varying Image Quality. In JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association, pp. 258-270.
    3. Maiti, T., Ren, H., Dass, S. C., Lim, C. and Maier, K. S. (2011) Clustering-Based Small Area Estimation: An Application to MEAP Data. In JSM Proceedings, Statistics and the Environment Section. Alexandria, VA: American Statistical Association, pp. 494-507.
    4. Dass, S. C., Lim, C. and Maiti, T. (2011) Hierarchical Spatial Regression Models for Change Point Analysis. In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association, pp. 3119-3133.
    5. Lim, C. (2010) Book Review of "Statistical Detection and Surveillance of Geographic Clusters" by Peter Rogerson and Ikuho Yamada. Journal of the American Statistical Association 105 pp.1276-1283.


    Links
  • CIS
  • CISES
  • JSTOR
  • MSU LIB
  • R-tutorial
  • scholar.google
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