## Information-theoretic limits of Bayesian inference in Gaussian noise

### Leo Miolane

We will discuss briefly the statistical estimation of a signal (vector, matrix, tensor...) corrupted by Gaussian noise. We will restrict ourselves to information-theoretic considerations and draw connections with statistical physics (random energy model, p-spin model).