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ICPR
2008
IEEE
14 years 10 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
BMCBI
2008
186views more  BMCBI 2008»
13 years 9 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
SUM
2007
Springer
14 years 3 months ago
Incomplete Statistical Information Fusion and Its Application to Clinical Trials Data
In medical clinical trials, overall trial results are highlighted in the s of papers/reports. These results are summaries of underlying statistical analysis where most of the time ...
Jianbing Ma, Weiru Liu, Anthony Hunter