Beran, J., &; Feng, Y. (2007). Local Polynomial Estimation with a FARIMA-GARCH Error Process. Bernoulli, 7(5).https://doi.org/10.2307/3318539 

Ng, P., Yu, K., &; Feng, Y. (Eds.). (2007). Special Issue: Quantile Regression (Vol. 7).

Feng, Y. (2004). SIMULTANEOUSLY MODELING CONDITIONAL HETEROSKEDASTICITY AND SCALE CHANGE. Econometric Theory, 20(03).https://doi.org/10.1017/s0266466604203061 

Feng, Y. (2004). Non- and Semiparametric Regression with Fractional Time Series Errors.

Heiler, S., &; Feng, Y. (2004). A robust data-driven version of the Berlin Method. In R. Metz, M. Lösch, &; K. Edel (Eds.), Zeitreihenanalyse in der empirischen Wirtschaftsforschung (pp. 67–81). Stuttgart: Lucius &; Lucius.

Beran, J., &; Feng, Y. (2002). SEMIFAR models—a semiparametric approach to modelling trends, long-range dependence and nonstationarity. Computational Statistics &; Data Analysis, 40(2), 393–419.https://doi.org/10.1016/s0167-9473(02)00007-5 

Beran, J., &; Feng, Y. (2002). Iterative Plug-In Algorithms for SEMIFAR Models—Definition, Convergence, and Asymptotic Properties. Journal of Computational and Graphical Statistics, 11(3), 690–713.https://doi.org/10.1198/106186002420 

Heiler, S., &; Feng, Y. (2002). Data-driven decomposition of seasonal time series. Journal of Statistical Planning and Inference, 91(2), 351–363.https://doi.org/10.1016/s0378-3758(00)00187-7 

Beran, J., Feng, Y., Ghosh, S., &; Sibbertsen, P. (2002). On robust local polynomial estimation with long-memory errors. International Journal of Forecasting, 18(2), 227–241.https://doi.org/10.1016/s0169-2070(01)00155-8 

Beran, J., &; Feng, Y. (2002). Local polynomial fitting with long-memory, short-memory and antipersistent errors. The Annals of the Institute of Statistical Mathematics, 54(2), 291–311.