Markov chain monte carlo methods vs. variational inference approaches in posterior density estimation for bayesian neural networks
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University of the Witwatersrand, Johannesburg
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A research report submitted in partial fulfillment of the requirements for the degree of Master of Science, to the Faculty of Science, School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, 2025
Citation
Chabumba, Daisy Reneilwe. (2025). Markov chain monte carlo methods vs. variational inference approaches in posterior density estimation for bayesian neural networks. [Master's dissertation, University of the Witwatersrand, Johannesburg]. WIReDSpace. https://hdl.handle.net/10539/50155