This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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244
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #307971 |
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Title:
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A New Likelihood-Based Density Estimation Method
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Author(s):
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Ilya Shvartsman*+
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Companies:
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Penn State Harrisburg
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Address:
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, Middletown, PA, 17110,
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Keywords:
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Density estimation ;
maximum likelihood ;
optimal control
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Abstract:
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In this paper we apply methods of optimal control theory to the estimation of the probability density function if it is known that the underlying density function is Lipschitz. This method is likelihood-based, and the rate of convergence of the estimators is higher than in the kernel method.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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