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ICPR
2008
IEEE
16 years 5 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»
15 years 4 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
15 years 10 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