Statistics Faculty

Michelle Y. Wang

  • Associate Professor
  • Department of Statistics
  • University of Illinois at Urbana-Champaign
  • 116C Illini Hall
  • 725 S. Wright St.
  • Champaign, IL 61820 USA
  • (217) 244-2694
  • Website
  • Educational Background

  • PhD, Electrical Engineering, Yale University, 1999
  • Research Interests

  • Statistical/mathematical methods, machine learning and data mining
  • Signal and imaging processing, computation, and analysis
  • Quantitative and cognitive psychology
  • Precision medicine
  • Recent Publications

    M. Y. Wang, and C. E. Zwilling, Multivariate computing and robust estimating for outlier and novelty in data and imaging sciences, Advances in Bioengineering, pp. 317-336, 2015.

    J. Xia, and M. Y. Wang, Particle filtering with sequential parameter learning for nonlinear BOLD fMRI signals, Advances and Applications in Statistics, 40(1): 61-74, 2014.

    C. E. Zwilling, and M. Y. Wang, Multivariate voronoi outlier detection for time series, IEEE Healthcare Innovation and Point of Care Technologies Conf., pp. 300-303, 2014.

    C. Zhou, C. E. Zwilling, V. D. Calhoun, M. Y. Wang, Efficient blockwise permutation tests preserving exchangeability, International Journal of Statistics in Medical Research, 3(2): 145-152, 2014.

    M. Y. Wang, Multi-scale information, network, causality, and dynamics: mathematical computation and Bayesian inference to cognitive neuroscience and aging, Functional Brain Mapping and the Endeavor to Understand the Working Brain, F. Signorelli and D. Chirchiglia, eds., pp. 181-208, 2013.

    L. T. K. Vo, D. B. Walther, A. F. Kramer, K. I. Erickson, W. R. Boot, M. W. Voss, R. S. Prakash, H. Lee, M. Fabiani, G. Gratton, D. J. Simons, B. P. Sutton, and M. Y. Wang, "Predicting individuals' learning success from patterns of pre-learning MRI," PLoS ONE, 6(1), e16093, 2011.

    M. Y. Wang, C. Zhou, and J. Xia, "Statistical analysis for recovery of structure and function from brain images," In: Biomedical Engineering, Trends, Researches and Technologies, M. A. Komorowska and S. Olsztynska-Janus, editors, pp. 169-190, 2011.

    U. Sakoglu, G. D. Pearlson, K. A. Keihl, Y. M. Wang, A. M. Michael, and V. D. Calhoun, "A method for evaluating dynamic functional network connectivity and task-modulation: Application to schizophrenia," Magnetic Resonance Materials in Physics, Biology, and Medicine, 23: 351-366, 2010.

    Y. M. Wang and J. Xia, "Unified framework for robust estimation of brain networks from fMRI using temporal and spatial correlation analyses," IEEE Trans. on Medical Imaging, 28(8): 1296-1307, 2009.

    J. Xia, F. Liang, and Y. M. Wang, "FMRI analysis through Bayesian variable selection with a spatial prior," IEEE Int. Symp. on Biomedical Imaging, pp. 714-717, 2009.