selected publications academic article Chen, W. W., & Deo, R. S. (2018). Subsampling based inference for U statistics under thick tails using self-normalization. Statistics and Probability Letters. 138, 95-103. Chen, W. W., Deo, R. S., & Yi, Y. (2013). Uniform Inference in Predictive Regression Models. Journal of business & economic statistics. 31(4), 525-533. Chen, W. W., & Deo, R. S. (2010). Weighted least squares approximate restricted likelihood estimation for vector autoregressive processes. 97(1), 231-237. Chen, W. W., & Deo, R. S. (2006). THE VARIANCE RATIO STATISTIC AT LARGE HORIZONS. ECONOMETRIC THEORY. 22(2), 206-234. Chen, W. W., & Deo, R. S. (2006). The variance ratio statistic at large horizons. ECONOMETRIC THEORY. 22(2), 206-234. Chen, W. W., & Deo, R. S. (2006). Estimation of mis-specified long memory models. Journal of Econometrics. 134(1), 257-281. Chen, W. W., & Deo, R. S. (2004). Power transformations to induce normality and their applications. Journal of the Royal Statistical Society Series B: Statistical Methodology. 66(1), 117-130. Chen, W. W., & Hurvich, C. M. (2003). Semiparametric estimation of multivariate fractional cointegration. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 98(463), 629-642. Deo, R. S., & Chen, W. W. (2000). On the integral of the squared periodogram. Stochastic Processes and their Applications. 85(1), 159-176. chapter Chen, W. W., & Hurvich, C. M. (2009). Fractional Cointegration. Mikosch, T., Kreiß, J., Davis, R. A., & Andersen, T. G. (Eds.), Handbook of Financial Time Series. (pp. 709-726). Springer Nature.
teaching activities STAT303 Statistical Methods Instructor STAT631 Stat Methods In Finance Instructor STAT651 Stat In Research I Instructor STAT685 Directed Studies Instructor STAT691 Research Instructor
education and training Ph.D. in Statistics, New York University - (New York, New York, United States) 2000 M.S. in Statistics, New York University - (New York, New York, United States) 1995
mailing address Texas A&M University Department Of Statistics 3143 TAMU College Station, TX 77843-3143 USA