We shall follow the growth of probability theory and applications from the 1650s onwards, in parallel with the development of statistical inference. Bayesian, Neyman-Pearson hypothesis testing and Fisherian likelihood methods will all be covered, with an emphasis on relating theory to a wide range of applications. Practical sessions will use SciPy and feature closed-form solutions, iterative and Monte Carlo simulation methods.
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