MaxEnt is a Matlab toolbox for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.
The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.
Deep learning-based parametric inference of brain tumour progression
This repository contains assignments and project work related to the course
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