Center Scientists in BOLD

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2010). A cautious approach to generalization in reinforcement learning. In J. Filipe, A. Fred, & B. Sharp (Eds.), Proceedings of the 2nd International Conference on Agents and Artificial Intelligence, Vol.1 (pp.64-73).

Fu, G., Wang, Z., Li, J., Das, K., Li, R., & Wu, L. (2011). Integrating ordinary differential equations into functional mapping of biological rhythms. Journal of Biological Dynamics, 5, 84-101.

Kai, B., Li, R., & Zou, H. (2010). Local CQR smoothing: An efficient and safe alternative to local polynomial regression. Journal of the Royal Statistical Society, Series B, 72, 49-69. PMCID: PMC2958780

Kai, B., Li, R., & Zou, H. (2011). New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models. Annals of Statistics, 39, 305-332.

Lanza, S. T., & Bray, B. C. (2010). Transitions in drug use among high-risk women: An application of latent class and latent transition analysis. Advances and Applications in Statistical Sciences, 3, 203-235. NIHMSID: NIHMS227045

Lanza, S. T., & Rhoades, B. L. (2011). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science. Advance online publication. doi:10.1007/s11121-011-0201-1.

Liang, H., Liu, X., Li, R., & Tsai, C.-L. (2010). Estimation and testing for partially linear single-index models. Annals of Statistics, 38I, 3811-3836.

Lizotte, D., Bowling, M., & Murphy, S. A. (2010). Efficient reinforcement learning with multiple reward functions for randomized controlled trial analysis. Proceedings of the 27th International Conference on Machine Learning (pp.695-702).

Ma, Y., & Li, R. (2010). Variable selection in measurement error models. Bernoulli, 16(1), 274-300. PMCID: PMC2832228

Yi, C., Ricciuto, D., Li, R., et. al. (2010). Climate control to terrestrial carbon exchange across biomes and continents. Environmental Research Letters, 5, 034007.