Introduces the Mixture Linear Ordering Problem with mixed-integer programming formulations and a multi-start matheuristic to recover latent groups and their rankings from aggregate preference matrices.
The Review of Economics and Statistics 18, 105–125
2 Pith papers cite this work. Polarity classification is still indexing.
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A bilevel optimization framework smooths isotonic regression outputs into continuous piece-wise linear monotonic functions to recover marginal properties in both convex and non-convex cases.
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Uncovering latent consensus in heterogeneous populations: The Mixture Linear Ordering Problem
Introduces the Mixture Linear Ordering Problem with mixed-integer programming formulations and a multi-start matheuristic to recover latent groups and their rankings from aggregate preference matrices.
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Piece-wise linear isotonic regression
A bilevel optimization framework smooths isotonic regression outputs into continuous piece-wise linear monotonic functions to recover marginal properties in both convex and non-convex cases.