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
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;
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/CSCI.2014.69
