id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-332922-2qjae0x7	Mbuvha, Rendani	Bayesian inference of COVID-19 spreading rates in South Africa	2020-08-05		.txt	text/plain	3225	144	48	We follow the framework of [6] to perform Bayesian inference for model parameters on the South African COVID-19 data. The posterior inference is governed by Bayes theorem as follows: Where P(W|D, M) is the posterior distribution of a vector of model parameters (W) given the model(M) and observed data(D), P(D|W, M) is the data likelihood and P(D) is the evidence.	cache/cord-332922-2qjae0x7.txt	txt/cord-332922-2qjae0x7.txt
