A particle swarm algorithm with broad applicability in shape-constrained estimation

DOI10.1016/j.csda.2011.11.009zbMath1254.90307OpenAlexW2006225732MaRDI QIDQ1927081

Mark A. Wolters

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.11.009

zbMATH Keywords

heuristic optimizationkernel methodsdensity estimationregressionnonparametric estimation

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Related Items (4)

The 3rd special issue on optimization heuristics in estimation and modelling problems ⋮ A flexible sequential Monte Carlo algorithm for parametric constrained regression ⋮ Enforcing shape constraints on a probability density estimate using an additive adjustment curve ⋮ Optimisation of interacting particle systems for rare event estimation

Uses Software

• Matlab
• ElemStatLearn
• wmtsa

Cites Work

• Nonparametric kernel regression subject to monotonicity constraints
• Smoothing methods in statistics
• Imposing economic constraints in nonparametric regression: survey, implementation, and extension
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