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SEAL
2010
Springer
13 years 3 months ago
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
Rupesh Kumar Srivastava, Kalyanmoy Deb
SUM
2007
Springer
13 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
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
13 years 10 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
BMCBI
2010
135views more  BMCBI 2010»
13 years 4 months ago
Efficient genome-scale phylogenetic analysis under the duplication-loss and deep coalescence cost models
Background: Genomic data provide a wealth of new information for phylogenetic analysis. Yet making use of this data requires phylogenetic methods that can efficiently analyze extr...
Mukul S. Bansal, J. Gordon Burleigh, Oliver Eulens...
DAC
2006
ACM
14 years 5 months ago
Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty
Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...