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*Estimation and inference on semiparametric regression models* *Zhezhen Jin* *Department of Biostatistics* *Columbia University* *Johnson Center 326-Meeting Room B* *4400 University Drive, Fairfax, VA 22030* *Time: 1**1**:**0**0 **A**.M. - **12**:**0**0 **P**.M.* *Date: **Friday**, **Mar 7**, 201**4* *Abstract* For regression models, it is challenging to obtain point and variance estimates of regression parameters if the corresponding estimating functions are nonregular, such as non-smooth and non-monotone. We discuss the issues and present recently developed new approaches based on a natural self-induced smoothing method. We show general theory, implementation, simulation studies and demonstrate the methods with censored linear regression models and general semiparametric transformation models. -- Yunpeng Zhao, PhD Assistant Professor Department of Statistics Volgenau School of Engineering <[log in to unmask]> George Mason University Engineering Building, Room 1719, MS 4A7 4400 University Drive Fairfax, VA 22030-4444 Phone: 703-993-1674 Email: [log in to unmask]