Bayesian Estimation of Inequality and Poverty Indices in Case of Pareto Distribution Using Different Priors under LINEX Loss Function

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Subjective Bayesian analysis of elliptical models

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Bayesian machine learning : theory and applications by Payne, Megan Wendy

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Bayesian parameter estimation for process monitoring by Basson, Marno

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Bayesian signal processing of doppler radar data by De Villiers, Charl Felix

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Applying dynamic Bayesian Networks to process monitoring by Wakefield, Brandon Jason

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Training Feedforward Neural Networks with Bayesian Hyper-Heuristics

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The use of bayesian neural networks in thyroid cancer classification by Du Preez, Tiana

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Calibrating a stochastic SIR-model to simulated data using different calibration methods : a tutorial & comparison of methods by Van Staden, Wynand-Junior

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Text-based language identification for the South African languages

Subjects: “…Naïve bayesian classification…”
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Data modelling & Bayesian model comparison with spherically symmetric priors by Jamodien, Riyaadh

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A semantic Bayesian network for automated share evaluation on the JSE by Drake, Rachel

“…This research investigates the efficacy of using ontologies and Bayesian networks for automating share evaluation on the JSE. …”
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Bayesian approaches of Markov models embedded in unbalanced panel data by Muller, Christoffel Joseph Brand

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Regional CO₂ flux estimates for South Africa through inverse modelling by Nickless, Alecia

“…Bayesian inverse modelling provides a top-down technique of verifying emissions and uptake of carbon dioxide (CO₂) from both natural and anthropogenic sources. …”
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Predicting financial distress of JSE-Listed companies using Bayesian networks by Cassim, Ziyad

“…Various permutations of Bayesian models are tested relating to different learning algorithms, intervals of discretisation and scoring metrics. …”
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The application of Bayesian statistics and maximum entropy to Ion beam analysis techniques by Padayachee, Jayanethie

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Discriminative and Bayesian techniques for hidden Markov model speech recognition systems

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Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation by Goosen, Jenna

“…This dissertation finds that deep artificial neural networks using Bayesian Optimisation for the indirect and direct methods are able to efficiently and accurately price and calibrate the SABR and Heston Model. …”
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