An isotonic regression algorithm

By R. Dykstra. 1981

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Patrick Mair
2. Jan de Leeuw
3. Kurt Hornik
4. Benjamin Letham
5. Sean J. Taylor
6. Cynthia Rudin
7. Achim Zeileis
8. Tong Wang

Citations in the corpus

• Forecasting at Scale (2018, positive): “In practice, we use a local regression [Cleveland and Devlin, 1988] or isotonic regression [Dykstra, 1981] as flexible non-parametric models of error curves.”
• Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods (2009, background): “At the same time, starting with Barlow and Brunk (1972) and Dykstra (1981), the isotonic regression problem was embedded more and more in quadratic and convex programming frameworks by, among others, Best and Chakravarti (1990) and Best et al. (2000).”