Associate Professor of Statistics

PhD in Statistics, Stanford University, 2001

Website

Research Interests

• Monte Carlo theory and methodology : Sequential Monte Carlo; Markov chain Monte Carlo; Applications of Monte Carlo methods in scientific problems.
• Computational biology: Population genetics; Linkage disequilibrium.
• Dynamic systems: Filtering and smoothing in state space models; Change-point problems, Identification and adaptive control of nonlinear stochastic systems.
• Other interests: Statistical inference; Applied probability; Combinatorics; Conditional inference on contingency tables; Tomographic analysis of the solar atmosphere.

Honors and Appointments

• Associate Editor, Journal of Computational and Graphical Statistics (2007-)

Selected Publications

• Zhang, J. and Chen, Y. (2013). Sampling for Conditional Inference on Network Data. Journal of the American Statistical Association. In press.
• Chen, Y. (2012). A Theory for the Multiset Sampler. Statistics and Probability Letters, 82, 473-477.
• Wu, B., Lai, T. L., and Chen, Y. (2012). Sequential Planning for Robotic Navigation and Exploration under Uncertainty. In Introduction to Modern Robotics II, 47-68. iConcept Press.
• Dinwoodie, I. H. and Chen, Y. (2011). Sampling Large Tables with Constraints. Statistica Sinica, 21, 1591-1609.
• Yun, J. and Chen, Y. (2010). Discussion on "Particle Markov Chain Monte Carlo Methods" by C. Andrieu, A. Doucet, and R. Holstein. Journal of the Royal Statistical Society, Series B, 72, 332-333.
• Wu, T., Chen, Y., and Han, J. (2010). Re-Examination of Interestingness Measures in Pattern Mining: A Unified Framework. Data Mining and Knowledge Discovery, 21, 371-397.
• Leman, S. C., Chen, Y., and Lavine, M. (2009). The Multiset Sampler. Journal of the American Statistical Association. 104, 1029-1041.
• Butala, M. D., Frazin, R. A., Chen, Y., and Kamalabadi, F. (2009). Tomographic Imaging of Dynamic Objects With the Ensemble Kalman Filter. IEEE Transactions on Image Processing, 18, 1573-1587.
• Chen, Y., Dinwoodie, I. H., and Yoshida, R. (2009). Markov Chains, Quotient Ideals, and Connectivity with Positive Margins. In Algebraic and Geometric Methods in Statistics, 99-110. Cambridge University Press.