Bivariate Isotonic Regression by Dynamic Programming

Pedro Afonso Fernandes

Papers from arXiv.org

Abstract: This article extends the dynamic programming framework introduced by Rote (2019) from the univariate to the bivariate isotonic grid problem, using an anti-diagonal traversal procedure. The proposed algorithm is applied to the well-known baseball data set that describes the association of salary with a collection of player properties, including the number of runs batted and hits. The new algorithm is relevant in the sense that dynamic programming has a wide range of applications in economics.

Date: 2026-07, Revised 2026-09
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