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Seminar Announcement**
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*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]