411 search results - page 37 / 83 » Rank Estimation in Missing Data Matrix Problems |
SCIA
2005
Springer
14 years 2 months ago
2005
Springer
Estimation of inhomogeneous vectors is well-studied in estimation theory. For instance, given covariance matrices of input data allow to compute optimal estimates and characterize...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
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...
BMCBI
2004
13 years 9 months ago
2004
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
BMCBI
2011
13 years 4 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
MA
2010
Springer
13 years 7 months ago
2010
Springer
We establish the Stein phenomenon in the context of two-step, monotone incomplete data drawn from Np+q(µ, Σ), a multivariate normal population with mean µ and covariance matrix...