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Seminar Announcement** * ------------------------------ * *Density estimation for incomplete data model* *Ao Yuan* *National Human Genome Center * *Howard University* *Engr 4201 (Computer science conference room) * *4400 University Drive, Fairfax, VA 22030*** *Time: 11:00 A.M. - 12:00 P.M.*** *Date: Friday, Mar 8, 2013 *** *Abstract* For incomplete data model, the commonly used density estimator of the underlying distribution cannot be computed directly, as the corresponding kernel requires all original data to be available. To estimate density function with such incomplete data model using only the observed data, we propose to use a conditional version of the kernel given the observed data. We study such kernel density estimator for several commonly used incomplete data models. Some large-sample properties of the proposed estimators are investigated. -- 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]