DocumentCode
145238
Title
Out of Sample Fusion: A Monte Carlo Method
Author
Kedem, Benjamin ; Lemeng Pan ; Wen Zhou
Author_Institution
Dept. of Math., Univ. of Maryland, College Park, MD, USA
Volume
1
fYear
2014
fDate
10-13 March 2014
Firstpage
364
Lastpage
367
Abstract
Out of sample fusion is a computational method where real and independent computer generated data are fused. The method hinges on a density ratio model whereby the distributions of the real and the generated data are related. The method is applied in the interval estimation of very small binomial proportions from moderately large samples.
Keywords
Monte Carlo methods; binomial distribution; sensor fusion; Monte Carlo method; binomial proportions; independent computer generated data; out of sample fusion; Biological system modeling; Computational modeling; Computers; Data models; Educational institutions; Estimation; Indexes; Density ratio model; coverage; generalized gamma; semiparametric; threshold probabilities;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/CSCI.2014.69
Filename
6822136
Link To Document