Reduced models of algae growth

DOI10.1007/s11538-009-9417-7zbMath1173.92033OpenAlexW2077706818WikidataQ44455441 ScholiaQ44455441MaRDI QIDQ1034922

Marko Laine, Heikki Haario, Leonid V. Kalachev

Publication date: 9 November 2009

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11538-009-9417-7

zbMATH Keywords

asymptotic methodsmodel reductionMCMCadaptive Markov chain Monte Carloalgae growth modeling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic models, generic numerical methods in probability and statistics (65C20) Dynamical systems in biology (37N25) Population dynamics (general) (92D25) Ecology (92D40) Stability theory for ordinary differential equations (34D99)

Related Items

Bayesian model calibration and uncertainty quantification for an HIV model using adaptive Metropolis algorithms, A note on analysis and numerics of algae growth

Uses Software

• MCMC

Cites Work

• Unnamed Item
• Dynamic Bayesian sensitivity analysis of a myocardial metabolic model
• Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State
• Markov Chain Monte Carlo Methods for High Dimensional Inversion in Remote Sensing
• An adaptive Metropolis algorithm