YoungStatS
The blog of Young Statisticians Europe (YSE)
partial-least-squares
PLS for Big Data: A unified parallel algorithm for regularised group PLS
Pierre Lafaye de Micheaux, Benoit Liquet, Matt Sutton
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2021-01-28
We look at the problem of learning latent structure between two blocks of data through the partial least squares (PLS) approach. These methods include approaches for supervised and unsupervised statistical learning. We review these methods and present approaches to decrease the computation time and…
causal-inference
Causal discovery in the presence of discrete latent variables
Rune Christiansen and Jonas Peters
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2020-12-15
We address the problem of causal structure learning in the presence of hidden variables. Given a target variable and a vector of covariates, we are trying to infer the set of observable causal parents of the target variable. There are many good reasons for being interested in causal predictors.…