Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...
Abstract: Recently, the information bottleneck method, a machine learning framework, was incorporated in several communication engineering related applications. However, most of these applications are ...
There was an error while loading. Please reload this page. There are two examples of the conditional Gaussian distribution with Python (Jupyter Notebook) code ...
CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...
In the first part of the course, we will start with an introduction to the Gaussian free field (GFF), which is an object which has been at the heart of some recent groundbreaking developments in ...
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