Aggregate data and the Prohorov metric framework: efficient gradient computation

DOI10.1016/J.AML.2015.12.004zbMath1383.62080OpenAlexW2192781725WikidataQ57431625 ScholiaQ57431625MaRDI QIDQ254019

Jared Catenacci, Harvey Thomas Banks

Publication date: 8 March 2016

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.aml.2015.12.004

zbMATH Keywords

splinesinverse problemsleast squares estimationestimation of probability distributionsProhorov metric

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Stochastic programming (90C15) Programming in abstract spaces (90C48)

Related Items (1)

Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data

Uses Software

• KELLEY

Cites Work

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