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Yichen Cheng

Assistant Professor    
  • Ph.D., statistics, Texas A&M University
  • B.S., mathematics, Fudan University
  • big data
  • high dimensional data analysis
  • machine learning
  • statistical genetics
  • adaptive Markov chain Monte Carlo

Yichen Cheng is an assistant professor at the Robinson College of Business’s Institute for Insight. Her research interest is in analysis for big data and high dimensional data from both frequentist and Bayesian perspectives.

Dr. Cheng obtained her Ph.D. in statistics from Texas A&M University with a concentration in adaptive Markov chain Monte Carlo and stochastic approximation. After the completion of her Ph.D., she worked at the Fred Hutchinson Cancer research center as a post-doctoral research fellow. At the cancer center, her research was on statistical genetics and cancer genomics.

  • Cheng, Y., Dai, J.Y. and Kooperberg, C. (2016). Group Association Test Using a Hidden Markov Model. Biostatistics. 17 (2): 221-234.
  • Cheng, Y. and Liang, F. (2015). Discussion on “Modeling an Augmented Lagrangian for Improved Blackbox Constrained Optimization” by Gramacy et al. Technometrics. In press.
  • Wang, X., Li, X., Cheng, Y., Sun, X., Sun, X., Self, S., Kooperberg, C. and Dai, J.Y. (2015). Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma. Human Genetics, 9:22.
  • Liang, F., Cheng, Y., and Lin, G. (2014). Simulated Stochastic Approximation Annealing for Global Optimization with a Square-Root Cooling Schedule. Journal of the American Statistical Association, 109, 847–863.
  • Cheng, Y., Gao, X, and Liang, F. (2014). Bayesian Peak Picking for NMR Spectra. Genomics, Proteomics & Bioinformatics, 12, 39–47.
  • Liang, F., Cheng, Y., Song, Q., Park, J., and Yang, P. (2013). A Resampling-based Stochastic Approximation Method for Analysis of Large Geostatistical Data. Journal of the American Statistical Association, 108, 325–339.
  • Zhao, H., Cheng, Y. and Bang, H. (2011). Some Insight on Censored Cost Estimators. Statistics in Medicine, 30, 2381–2389.
  • Smith, M.L., Hochhalter, A.K., Cheng, Y., Wang, S., and Ory, M.G. (2011). Programmatic Influences on Outcomes of an Evidence-based Falls Program for Older Adults: A translational assessment. Translational Behavioral Medicine: Practice, Policy and Research, 1(3), 384–393.