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cs.IT2023
The Principle of Uncertain Maximum Entropy
Kenneth Bogert, Matthew Kothe
The Principle of Maximum Entropy is a rigorous technique for estimating an unknown distribution given partial information while simultaneously minimizing bias. However, an importan…
cs.IT2021
Notes on Generalizing the Maximum Entropy Principle to Uncertain Data
Kenneth Bogert
The principle of maximum entropy is a broadly applicable technique for computing a distribution with the least amount of information possible constrained to match empirical data, f…