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Multiple hypothesis testing, adjusting for latent variables
latent variables hypothesis testing
2015/8/21
In high throughput settings we inspect a great many candidate variables (e.g. genes) searching for associations with a primary variable (e.g.
a phenotype). High throughput hypothesis testing can be m...
Learning Linear Bayesian Networks with Latent Variables
Linear Networks Bayesian Latent Variables
2012/11/23
This work considers the problem of learning linear Bayesian networks when some of the variables are unobserved. Identifiability and efficient recovery from low-order observable moments are established...