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

DOI10.3934/MBE.2020091zbMath1470.92231OpenAlexW2996067336WikidataQ90792611 ScholiaQ90792611MaRDI QIDQ2045808

Yanyan Li

Publication date: 13 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020091

zbMATH Keywords

inverse problemsaggregate datahypothesis testing and standard errors in dynamical modelsplant-insect interactionsprohorov metric

Mathematics Subject Classification ID

Population dynamics (general) (92D25) Pest management (92D45)

Cites Work

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• Aggregate data and the Prohorov metric framework: efficient gradient computation
• A comparison of approximation methods for the estimation of probability distributions on parameters
• Quantifying uncertainty in the estimation of probability distributions
• Population dynamics models in plant\,-\,insect herbivore\,-\,pesticide interactions
• Modelling and estimating uncertainty in parameter estimation
• Modeling and Inverse Problems in the Presence of Uncertainty
• Asymptotic Properties of Probability Measure Estimators in a Nonparametric Model
• Estimation of growth rate distributions in size structured population models

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