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Two case studies detailing Bayesian parameter inference for dynamic energy budget models

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2015jc011080openalex-snapshot
Inferred support for disturbance‐recovery hypothesis of N orth A tlantic phytoplankton blooms
inferredcites →https://doi.org/10.1002/ece3.334openalex-snapshot
Temperature alters reproductive life history patterns in Batrachochytrium dendrobatidis, a lethal pathogen associated with the global loss of amphibians
inferredcites →https://doi.org/10.1007/978-3-642-28070-2openalex-snapshot
Solving Differential Equations in R
inferredcites →https://doi.org/10.1007/bf00369415openalex-snapshot
Reproduction and growth of three deep-burrowing earthworms (Lumbricidae) in laboratory culture in order to assess production for soil restoration
inferredcites →https://doi.org/10.1007/bf02741321openalex-snapshot
Book review: “Bayesian Data Analysis,” Second Edition by A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin Chapman & Hall/CRC, 2004
inferredcites →https://doi.org/10.1007/s00285-008-0195-xopenalex-snapshot
What the egg can tell about its hen: Embryonic development on the basis of dynamic energy budgets
inferredcites →https://doi.org/10.1007/s10646-006-0060-xopenalex-snapshot
Making Sense of Ecotoxicological Test Results: Towards Application of Process-based Models
inferredcites →https://doi.org/10.1007/s10646-012-0973-5openalex-snapshot
Juvenile food limitation in standardized tests: a warning to ecotoxicologists
inferredcites →https://doi.org/10.1016/c2009-0-61134-xopenalex-snapshot
Parameter Estimation and Inverse Problems
inferredcites →https://doi.org/10.1016/j.ddmod.2017.08.001openalex-snapshot
Assessing interindividual variability by Bayesian-PBPK modeling
inferredcites →https://doi.org/10.1016/j.ecolmodel.2006.11.021openalex-snapshot
Integrating the lethal and sublethal effects of toxic compounds into the population dynamics of Daphnia magna: A combination of the DEBtox and matrix population models
inferredcites →https://doi.org/10.1016/j.ecolmodel.2011.11.012openalex-snapshot
Simplified Dynamic Energy Budget model for analysing ecotoxicity data
inferredcites →https://doi.org/10.1016/j.jtbi.2008.05.006openalex-snapshot
Statistical cautions when estimating DEBtox parameters
inferredcites →https://doi.org/10.1016/j.jtbi.2011.02.010openalex-snapshot
Parameter inference for an individual based model of chytridiomycosis in frogs
inferredcites →https://doi.org/10.1016/j.jtbi.2013.03.011openalex-snapshot
DEBkiss or the quest for the simplest generic model of animal life history
inferredcites →https://doi.org/10.1016/j.jtbi.2014.03.025openalex-snapshot
The bijection from data to parameter space with the standard DEB model quantifies the supply–demand spectrum
inferredcites →https://doi.org/10.1016/j.plrev.2016.09.001openalex-snapshot
Physics of metabolic organization
inferredcites →https://doi.org/10.1016/j.seares.2011.07.010openalex-snapshot
The “covariation method” for estimating the parameters of the standard Dynamic Energy Budget model I: Philosophy and approach
inferredcites →https://doi.org/10.1017/cbo9780511805400openalex-snapshot
Dynamic Energy Budget Theory for Metabolic Organisation
inferredcites →https://doi.org/10.1021/es801418xopenalex-snapshot
A Bayesian Approach to Analyzing Ecotoxicological Data
inferredcites →https://doi.org/10.1080/01621459.1996.10476708openalex-snapshot
Physiological Pharmacokinetic Analysis Using Population Modeling and Informative Prior Distributions
inferredcites →https://doi.org/10.1080/10618600.1998.10474787openalex-snapshot
General Methods for Monitoring Convergence of Iterative Simulations
inferredcites →https://doi.org/10.1086/324126openalex-snapshot
Individual Covariation in Life‐History Traits: Seeing the Trees Despite the Forest
inferredcites →https://doi.org/10.1086/528965openalex-snapshot
Individual Heterogeneity in Vital Parameters and Demographic Stochasticity
inferredcites →https://doi.org/10.1098/rsta.2007.2108openalex-snapshot
Fitting ordinary differential equations to short time course data
inferredcites →https://doi.org/10.1111/1365-2656.12085openalex-snapshot
Reconciling theories for metabolic scaling
inferredcites →https://doi.org/10.1111/2041-210x.12675openalex-snapshot
Mechanistic description of population dynamics using dynamic energy budget theory incorporated into integral projection models
inferredcites →https://doi.org/10.1111/2041-210x.12679openalex-snapshot
deBInfer: Bayesian inference for dynamical models of biological systems in R
inferredcites →https://doi.org/10.1111/j.1600-0706.2012.00098.xopenalex-snapshot
Waste to hurry: dynamic energy budgets explain the need of wasting to fully exploit blooming resources
inferredcites →https://doi.org/10.1111/j.2041-210x.2011.00168.xopenalex-snapshot
Dynamic Energy Budget theory meets individual‐based modelling: a generic and accessible implementation
inferredcites →https://doi.org/10.1152/ajpregu.1980.239.1.r7openalex-snapshot
Parameter and structural identifiability concepts and ambiguities: a critical review and analysis
inferredcites →https://doi.org/10.1201/9780429258411openalex-snapshot
Bayesian Data Analysis
inferredcites →https://doi.org/10.1201/9781003453420-2openalex-snapshot
MCMC Using Hamiltonian Dynamics
inferredcites →https://doi.org/10.1201/b10905openalex-snapshot
Handbook of Markov Chain Monte Carlo
inferredcites →https://doi.org/10.1201/b14835openalex-snapshot
Markov Chain Monte Carlo in Practice
inferredcites →https://doi.org/10.1371/journal.pcbi.1006100openalex-snapshot
The AmP project: Comparing species on the basis of dynamic energy budget parameters
inferredcites →https://doi.org/10.1371/journal.pone.0019616openalex-snapshot
A Bayesian Framework for Parameter Estimation in Dynamical Models
inferredcites →https://doi.org/10.1515/9781400866557openalex-snapshot
Bayesian Models
inferredcites →https://doi.org/10.18637/jss.v033.i01openalex-snapshot
Regularization Paths for Generalized Linear Models via Coordinate Descent
inferredcites →https://doi.org/10.18637/jss.v033.i09openalex-snapshot
Solving Differential Equations in R : Package deSolve
inferredcites →https://doi.org/10.18637/jss.v076.i01openalex-snapshot
Stan : A Probabilistic Programming Language
inferredcites →https://doi.org/10.1890/12-0650.1openalex-snapshot
Bayesian inference for bioenergetic models
inferredcites →https://doi.org/10.1890/14-1834.1openalex-snapshot
Extreme climate events and individual heterogeneity shape life‐history traits and population dynamics
inferredcites →https://doi.org/10.2307/1939370openalex-snapshot
Dynamic Energy Budgets
inferredcites →https://doi.org/10.5281/zenodo.13509823openalex-snapshot
A practical guide to ecological modelling: using R as a simulation platform
inferredcites →https://doi.org/10.5860/choice.50-3321openalex-snapshot
Solving differential equations in R

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2020.109139openalex-snapshot
Embracing multimodal optimization to enhance Dynamic Energy Budget parameterization
inferred← citeshttps://doi.org/10.1016/j.seares.2018.06.003openalex-snapshot
A new phase in DEB research
inferred← citeshttps://doi.org/10.1371/journal.pclm.0000540openalex-snapshot
Bioenergetic modeling reveals opposing effects of ocean and terrestrial warming of an intertidal crustacean, Balanus glandula
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