Associate Professor of Statistics

PhD in Statistics, Stanford University, 2001

Personal 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

• Chen, Y., Dinwoodie, I. H., and MacGibbon, B. (2007). Sampling for Conditional Inference on Case-Control Data. Biometrics, in press.
• Chen, Y. (2007). Conditional Inference on Tables with Structural Zeros. Journal of Computational and Graphical Statistics, in press.
• Chen, Y. and Liu, J. S. (2007). Sequential Monte Carlo Methods for Permutation Tests on Truncated Data. Statistica Sinica, in press.
• Butala, M. D., Frazin, R. A., Chen, Y., and Kamalabadi, F. (2007). A Monte Carlo Technique for Large-Scale Dynamic Tomography. Proceedings of the 2007 International Conference on Acoustics, Speech, and Signal Processing, in press.
• Chen, Y. and Lai, T. L. (2007). Identification and Adaptive Control of Change-Point ARX Models via Rao-Blackwellized Particle Filters. IEEE Transactions on Automatic Control, 52, 67-72
• Chen, Y., Lin, C. H., and Sabatti, C. (2006). Volume Measures for Linkage Disequilibrium. BMC Genetics, 7:54.
• Wang, H., Lin, C. H., Service, S., Chen, Y., Freimer, N., Sabatti, C., and The international collaborative group on isolated populations (2006). Linkage Disequilibrium and Haplotype Homozygosity in Population Samples Genotyped at a High Marker Density. Human Heredity, 62, 175-189.
• Chen, Y. (2006). Simple Existence Conditions for Zero-One Matrices with at Most One Structural Zero in Each Row and Column. Discrete Mathematics, 306, 2870-2877.
• Chen, Y., Dinwoodie, I. H., and Sullivant, S. (2006). Sequential Importance Sampling for Multiway Tables. The Annals of Statistics , 34, 523-545.
• Huber, M., Chen, Y., Dinwoodie, I., Dobra, A. and Nicholas, M. (2006). Monte Carlo Algorithms for Hardy-Weinberg Proportions. Biometrics, 62, 49-53.
• Leman, S., Chen, Y., Stajich, J. E., Noor, M. A. F., and Uyenoyama, M. K. (2005). Likelihoods from Summary Statistics: Recent Divergence Between Species. Genetics, 171, 1419-1436.
• Chen, Y. and Small, D. (2005). Exact Tests for the Rasch Model via Sequential Importance Sampling. Psychometrika, 70, 11-30.
• Chen, Y. (2005). Another Look at Rejection Sampling Through Importance Sampling. Statistics and Probability Letters, 72, 277-283.
• Chen, Y., Diaconis, P., Holmes, S. and Liu, J.S. (2005). Sequential Monte Carlo Methods for Statistical Analysis of Tables. Journal of the American Statistical Association, 100, 109-120.
• Chen, Y., Xie, J., and Liu, J.S. (2005). Stopping-Time Resampling for Sequential Monte Carlo Methods. Journal of the Royal Statistical Society, Series B, 67, 199-217.
• Chen, Y., Dinwoodie, I., Dobra, A. and Huber, M. (2005). Lattice Points, Contingency Tables, and Sampling. In Contemporary Mathematics, Vol. 374, 65-78. American Mathematical Society.
• Xie, J., Yang, J. and Chen, Y. (2005). On Joining and Caching Stochastic Streams. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, 359-370.
• Yi, K., Yu, H., Yang, J., Xia, G. and Chen, Y. (2003). Efficient Maintenance of Materialized Top-k Views. Proceedings of the 19th International Conference on Data Engineering, 189-200.
• Chen, Y. and Liu, J.S. (2000). Discussion on ``Inference in Molecular Population Genetics'' by M. Stephens and P. Donnelly. Journal of the Royal Statistical Society, Series B, 62, 644-645.