Title: Estimation and Inference on Semiparametric Regression Models
- Speaker: Zhezhen Jin, Department of Biostatistics, Columbia University
- Time: Friday, March 7, 2014, 11:00am - 12:00pm
- Place: Johnson Center 326 - Meeting Room B, George Mason University, 4400 University
- Directions and campus maps: http://www.gmu.edu/resources/welcome/Directions-to-GMU.html
- Sponsor: George Mason University, Department of Statistics. See http://statistics.gmu.edu/pages/seminar_spring_2014.html for a list of seminars.
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.
