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A guide to ecosystem models and their environmental applications
Rodger Benham (@rodger_benham) / X
Model-Based Inference about IR Systems
Model-Based Inference about IR Systems
A Bayesian mixing model framework for quantifying temporal variation in source of sediment to lakes across broad hydrological gradients of floodplains - Kay - 2021 - Limnology and Oceanography: Methods - Wiley Online Library
Frontiers Bayesian inference for fluid dynamics: A case study for the stochastic rotating shallow water model
Practical Guide to Measuring Wetland Carbon Pools and Fluxes
PCA plot of the top 8 TREC 2012 Web track adhoc runs, based on the
PDF) Tackling Biased Baselines in the Risk-Sensitive Evaluation of
Aso volcano, Japan: assessing the 100-year probability of a new caldera-forming eruption based on expert judgements with Bayes Net and Importance Sampling uncertainty analysis, Journal of Applied Volcanology
Practical Bayesian Inference in Neuroscience: Or How I Learned To Stop Worrying and Embrace the Distribution
Bayesian inference problem, MCMC and variational inference, by Joseph Rocca
Rodger Benham's research works RMIT University, Melbourne (RMIT
