A fast and efficient implementation of qualitatively constrained quantile smoothing splines

By Pin T. Ng, M. Maechler. 2007

93 citations recorded by the source corpus.

Subfields: Applied Mathematics, Control and Systems Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/046f070267f54c348f777b1c676e74fe0c077e1a

How researchers see this paper

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

In Applied Mathematics

1. Robert A. Rigby
2. Mikis D. Stasinopoulos
3. Fernanda De Bastiani

In Control and Systems Engineering

1. Robert A. Rigby
2. Mikis D. Stasinopoulos
3. Fernanda De Bastiani

In Numerical Analysis

1. Robert A. Rigby
2. Mikis D. Stasinopoulos
3. Fernanda De Bastiani

Citations in the corpus

• GAMLSS: A distributional regression approach (2018, methodology): “…major methodologies for creating centile curves, (a) the lambda, mu and sigma (LMS) method and its extensions (Cole and Green, 1992); (Rigby and Stasinopoulos, 2004; Rigby and Stasinopoulos, 2006) and (b) the quantile regression method (Koenker et al., 1994; He and Ng, 1999; Ng and Maechler, 2007).”