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Semi-parametric Order-based Generalized Multivariate Regression
In this paper, we consider a generalized multivariate regression problem where the responses are monotonic functions of linear transformations of predictors.
Sparse Multivariate Factor Regression
The first matrix linearly transforms the predictors to a set of latent factors, and the second one regresses the responses on these factors.
Neural Implementation of Probabilistic Models of Cognition
Bayesian models of cognition hypothesize that human brains make sense of data by representing probability distributions and applying Bayes' rule to find the best explanation for available data.
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