Isotonic regression for multiple independent variables

DOI10.1007/s00453-013-9814-zzbMath1312.62084OpenAlexW2142213567MaRDI QIDQ2346967

Quentin F. Stout

Publication date: 26 May 2015

Published in: Algorithmica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00453-013-9814-z

zbMATH Keywords

transitive closuremonotonicisotonic regression algorithmmultidimensional ordering

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) General nonlinear regression (62J02) Approximation algorithms (68W25)

Related Items (16)

Isotonic regression with unknown permutations: statistics, computation and adaptation ⋮ Characterizing the optimal solutions to the isotonic regression problem for identifiable functionals ⋮ A dual active-set algorithm for regularized monotonic regression ⋮ A new asymptotic notation: Weak Theta ⋮ Approximation, characterization, and continuity of multivariate monotonic regression functions ⋮ Weighted \(L_{\infty}\) isotonic regression ⋮ The limiting behavior of isotonic and convex regression estimators when the model is misspecified ⋮ Strict \(L_{\infty }\) isotonic regression ⋮ Posterior contraction and testing for multivariate isotonic regression ⋮ Isotonic regression via partitioning ⋮ Nonparametric shape-restricted regression ⋮ Fluctuated Fitting Under the $$\ell _1$$ -metric ⋮ Isotonic regression in multi-dimensional spaces and graphs ⋮ Bayesian non-parametric ordinal regression under a monotonicity constraint ⋮ A constrained regression model for an ordinal response with ordinal predictors ⋮ Isotonic regression in general dimensions

Uses Software

• AS 206

Cites Work

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