Jian-Jian Ren, Professor
Department of Mathematics



Selected Publications:

Papers on Statistics and Probability
[1] Ren, J. and Sen, P.K. (1991). On Hadamard differentiability of extended statistical functional. Journal of Multivariate Analysis, Vol. 39, 30-43.
[2] Ren, J. (1994). On Hadamard differentiability and its application to R-estimation in linear models. Statistics & Decisions, Vol. 12, 1-22.
[3] Ren, J. (1994). Some aspects of Hadamard differentiability on regression L-estimators. Journal of Nonparametric Statistics, Vol. 3, 355-367.
[4] Ren, J. (1995). Generalized Cramer-von Mises tests of goodness of fit with doubly censored data. The Annals of Institute of Statistical Mathematics, Vol. 47, No. 3, 525-549.
[5] Ren, J. and Sen, P.K. (1995). Hadamard differentiability on D[0,1]^p. Journal of Multivariate Analysis, Vol. 55, 14-28.
[6] Mykland, P. and Ren, J. (1996). Algorithms for computing self-consistent and maximum likelihood estimators with doubly censored data. The Annals of Statistics, Vol. 24, No. 4, 1740-1764.
[7] Bickel, P.J. and Ren, J. (1996). The m out of n bootstrap and goodness of fit tests with doubly censored data. Robust Statistics, Data Analysis and Computer Intensive Methods, Lecture Notes in Statistics, Springer Verlag, Vol. 109, 35-47.
[8] Ren, J. (1997). On self-consistent estimators and kernel density estimators with doubly censored data. Journal of Statistical Planning & Inference, Vol. 64, 27-43.
[9] Ren, J. and Gu, M.G. (1997). Regression M-estimators with doubly censored data. The Annals of Statistics, Vol. 25, No. 6, 2638-2664.
[10] Ren, J. and Zhou, M. (1997). L-estimators and M-estimators for doubly censored data. Journal of Nonparametric Statistics, Vol. 8, 1-20.
[11] Bickel, P.J. and Ren, J. (2001). The bootstrap in hypothesis testing. State of the Art in Probability and Statistics, Festschrift for Willem R. van Zwet. IMS Lecture Notes - Monograph Series, Vol. 36, 91-112.
[12] Ren, J. and Sen, P.K. (2001). Second-order Hadamard differentiability in statistical applications. Journal of Multivariate Analysis, Vol. 77, 187-228.
[13] Ren, J. (2001). Weighted empirical likelihood ratio confidence intervals for the mean with censored data. The Annals of Institute of Statistical Mathematics , Vol. 53, 498-516.
[14] Ren, J. (2003). Goodness of fit tests with interval censored data. Scandinavia Journal of Statistics, Vol. 30, 211-226.
[15] Ren, J. (2003). Regression M-estimators with non-i.i.d. doubly censored data. The Annals of Statistics, Vol. 31, 1186-1219.
[16] Bhattachary, B.B., Ren, J., Richardson, G.D. and Zhang, J. (2003). Spatial autoregression model: strong consistency. Statistics & Probabilty Letters, Vol. 65, 71-77.
[17] Ren, J. (2008). Weighted empirical likelihood in some two-sample semiparametric models with various types of censored data. The Annals of Statistics, Vol. 36, 147-166.
[18] Ren, J. (2008). Smoothed weighted empirical likelihood ratio confidence intervals for quantiles. Bernoulli, Vol. 14, 725-748.
[19] Ren, J. and He, B. (2011). Estimation and goodness-of-fit for the Cox model with various types of censored data . Journal of Statistical Planning & Inference, Vol. 141, 961-971.
[20] Ren, J. and Zhou, M. (2011). Full likelihood inferences in the Cox model: an empirical likelihood approach. The Annals of Institute of Statistical Mathematics , Vol. 63, 1005-1018.

Papers on Interdisciplinary Research
[1] Mullin, A.H., Nataraj, D., Ren, J. and Mullin, D. (1998). Inhaled benzene increases the frequency of deletion mutations and alters the point mutation spectrum in a lacI transgene in lung tissues of mice. Carcinogenesis, Vol. 19, 1723-1733.
[2] Ren, J. and Peer, P.G.M. (2000). A study on effectiveness of screening mammograms. International Journal of Epidemiology, Vol. 29, 803-806.
[3] Grenier, A.L., Abu-ihweij1, K., Zhang, G., Moore1, S., Boohaker, R., Slepkov, E.R., Pridemore, K., Ren, J., Fliegel, L. and Khaled, A.R. (2008). Apoptosis-induced alkalinization by the Na+/H+ exchanger isoform 1 is mediated through phosphorylation of amino acids Ser726 and Ser729. American Journal of Cell Physiology: Cell Physiology, Vol. 295, 883-896.