Name
Abstract | ||
|---|---|---|
A method of complexity control in multinomial mixture modeling of multiple-marker genotype data, imposing the Hardy-Weinberg equilibrium (HWE) between the genotype values, is studied. This is a very natural restriction, and known to hold at population level under modest assumptions. The hypothesis under study is that imposing this restriction will prevent overfitting and lead to a better model. This is shown to indeed be case. Experimental results on chromosomes 1 and 17 of the HapMap data demonstrate that the restricted model generalizes better to unseen data, and also finds clusters that correspond better to the ethnic groups of the HapMap, when compared with a model without the HWE restriction. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.csda.2008.07.023 | Computational Statistics & Data Analysis |
Keywords | Field | DocType |
hardy-weinberg equilibrium,natural restriction,hapmap data,complexity control,genotype value,restricted model,multiple-marker genotype data,mixture model,unseen data,better model,hwe restriction,hardy weinberg equilibrium,ethnic group | Econometrics,Population,Hardy–Weinberg principle,Mixture modeling,International HapMap Project,Multinomial distribution,Overfitting,Statistics,Mixture model,Mathematics | Journal |
Volume | Issue | ISSN |
53 | 5 | Computational Statistics and Data Analysis |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ella Bingham | 1 | 917 | 58.70 |
| Heikki Mannila | 2 | 6595 | 1495.69 |