Welcome to Chae Young Lim's Homepage

Chae Young Lim

Assistant Professor

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, Environmental/Epidemiological Statistics, Spectral Analysis and Fixed-domain Asymptotics
  • Peer-Reviewed Journals
  • Zhang, Z., Lim, C. and Maiti, T. Analyzing 2000-2010 Childhood Age-adjusted Cancer Rates in Florida: A Spatial Clustering Approach. Tentatively accepted by Statistics and Public Policy
  • 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
  • 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
  • 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
  • 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]
  • 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]
  • 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]
  • Dass, S. C., Lim, C. and Maiti, T. (2012) Default Bayesian Analysis for Multivariate Generalized CAR Models. Statistica Sinica 22 pp.231-248. [link]
  • 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]
  • 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]
  • 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]
  • 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]
  • 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]
  • Other Publications
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Working Papers
  • Feng, W, Lim, C. and Maiti, T. Simultaneous Estimation of Disease Risks and Spatial Clustering: A Hierarchical Bayes Approach. Revision submitted.
  • Dass. S. C. and Lim, C. A Semi-Parametric Hierarchical Bayes Approach for Assessing the Extent of Fingerprint Uniqueness. Submitted.
  • Wu, W. and Lim, C. Estimation of smoothness of a stationary Gaussian random field. Submitted.
  • Pramanik, S., Watve, A., Jung, S. and Lim, C. Data Independent Vantage Point Selection For Range Queries. Submitted.
  • Gharahi, H., Zambrano, B.A., Lim, C., Choi, J., Lee, W., Baek, S. On growth measurements of abdominal aortic aneurysms using maximally inscribed sphere. Submitted.
  • Nandy, S., Lim, C. and Maiti, T. Additive model building for spatial regression. Submitted

  • Links
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