Standard Normal Distribution in Tensor

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Posterior & MAP for Normal distribution with unknown precision

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MLE for the Multivariate Normal distribution | with example in TensorFlow Probability

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Variational Inference by Mean Field Approach for the Posterior of the Normal in Python

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Lecture 17, Week 9 (1hr) start of Unit 6: Pseudo random numbers and generation from a distribution.

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Posterior & MAP for Normal distribution with unknown mean AND unknown precision

Fisher-Rao geodesics and proxy curves for bivariate normal distributions

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Posterior for Gaussian Distribution with unknown Mean

pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd |Scipy 2020| Feickert

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