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Investigating intervention strategies for the management of diabetes in South Africa: A system dynamics approach
Published 2019Get full text
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Model-plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control
Published 2024Get full text
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Game-theoretic models for mergers and acquisitions
Published 2016“…A conceptual decision support system which uses the model and simulated results as key components is proposed and outlined.…”
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Applying stochastic volatility models in the risk-neutral and real-world probability measures
Published 2023Get full text
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Epidemiological models with density-dependent demographics
Published 2015Get full text
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A Bayesian approach to energy monitoring optimization
Published 2018Get full text
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The Verification of different model configurations of the Unified Atmospheric Model over South Africa
Published 2014Get full text
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Stellar Halos: modelling formation in the L-Galaxies 2020 semi-analytic model
Published 2021“…The number of high mass accretions into the halos of Milky Way-mass galaxies in the gradual disruption model agreed well with simulation literature. It was found that while central galaxies can induce many disruptions of satellite galaxies (over a thousand in some cases), the majority of the Milky Way-sized stellar halos in L-Galaxies are formed by the disruption of one to fourteen satellite galaxies, in good agreement with simulation literature. …”
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Two-level multilevel models focusing on inference and diagnostics
Published 2026Get full text
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Inverse modelling and optimisation in numerical groundwater flow models using proportional orthogonal decomposition
Published 2015Get full text
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Semi-parametric mixtures of partially linear models
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Construction and parameter estimation of wrapped normal models
Published 2020Get full text
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Construction and parameter estimation of wrapped normal models
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Efficient Bayesian analysis of spatial occupancy models
Published 2020“…The aim of this study is to highlight the computational efficiency that can be obtained by employing several techniques, which include exploiting the sparsity of the precision matrix of the ICAR model and also making use of Polya-Gamma latent variables to obtain closed form expressions for the posterior conditional distributions of the parameters of interest. …”
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The development and modelling of jet reactors
Published 2012Get full text
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