# Rank Correlation Based Prediction

Are there any methods of prediction (machine learning, regression, etc.) which are designed to maximize the rank correlation (spearman correlation, kendall's tau, etc.) of your prediction with your independent variable?

I am trying to predict a continuous numerical variable with a given set of inputs, and I am more concerned that the rank-correlation of predictions is high than the pearson correlation.

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I just ran across this, which may or may not be helpful: pluto.huji.ac.il/~galelidan/papers/CopulaMLSurvey.pdf –  John Nov 6 '12 at 21:42