## Applications of Tensor Networks in Probability and Statistics

One of the most common uses of tensor networks is parameterizing
statistical models. For example, a tensor network can compress
the parameters of a generative model in machine learning. Or in
quantum physics a common use of tensor networks is representing
joint probability distributions of many variables (using the
2-norm or Born rule of probability).

## Background Material

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