Inverse regression methods facilitate dimension-reduction analyses of high-dimensional data by extracting a small number of factors that are linear combinations of the original predictor variables.

This is a preview. Log in through your library . Abstract We propose two test statistics for use in inverse regression problems Y = Kθ + ε, where K is a given linear operator which cannot be ...

sciences. As a result of this widespread interest in identifying non-monotonic relationships in data and the well-known problems with standard parametric approaches based on quadratic regression ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's bank savings account balance based on their age, years of work ...

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