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BMCBI
2010
147views more  BMCBI 2010»
15 years 21 days ago
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
Background: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key w...
Thomas J. Hardcastle, Krystyna A. Kelly
SOFTWARE
2002
15 years 6 days ago
Handling Uncertainty in a Medical Study of Dietary Intake During Pregnancy
This paper is concerned with handling uncertainty as part of the analysis of data from a medical study. The study is investigating connections between the birth weight of babies an...
Adele H. Marshall, David A. Bell, Roy Sterritt
111
Voted
ICML
2008
IEEE
16 years 1 months ago
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Aapo Hyvärinen, Patrik O. Hoyer, Shohei Shimi...
CSDA
2010
173views more  CSDA 2010»
15 years 20 days ago
Time-varying joint distribution through copulas
This paper deals with the analysis of temporal dependence in multivariate highfrequency time series data. The dependence structure between the marginal series is modelled through ...
M. Concepcion Ausin, Hedibert F. Lopes
128
Voted
EAAI
2010
144views more  EAAI 2010»
14 years 7 months ago
Fault diagnosis of industrial systems by conditional Gaussian network including a distance rejection criterion
The purpose of this article is to present a method for industrial process diagnosis with Bayesian network, and more particularly with Conditional Gaussian Network (CGN). The inter...
Sylvain Verron, Teodor Tiplica, Abdessamad Kobi