منابع مشابه
On Maximum Entropy and Inference
Maximum entropy is a powerful concept that entails a sharp separation between relevant and irrelevant variables. It is typically invoked in inference, once an assumption is made on what the relevant variables are, in order to estimate a model from data, that affords predictions on all other (dependent) variables. Conversely, maximum entropy can be invoked to retrieve the relevant variables (suf...
متن کاملMaximum Entropy, Time Series and Statistical Inference
A brief discussion is given of the traditional version of the Maximum Entropy Method, including a review of some of the criticism that has been made in regard to its use in statistical inference. Motivated by these questions, a modified version of the method is then proposed and applied to an example in order to demonstrate its use with a given time series.
متن کامل35 th International Workshop on Bayesian Inference and Maximum Entropy
Monday July 20, 2015
متن کاملOn The Relationship between Bayesian and Maximum Entropy Inference
We investigate Bayesian and Maximum Entropy methods for doing inference under uncertainty. This investigation is primarily through concrete examples that have been previously investigated in the literature. We find that it is possible to do Bayesian and MaxEnt inference using the same information, despite claims to the contrary, and that they lead to different results. We find that these differ...
متن کاملOn Bayesian Inference, Maximum Entropy and Support Vector Machines Methods
The analysis of discrimination, feature and model selection conduct to the discussion of the relationships between Support Vector Machine (SVM), Bayesian and Maximum Entropy (MaxEnt) formalisms. MaxEnt discrimination can be seen as a particular case of Bayesian inference, which at its turn can be seen as a regularization approach applicable to SVM. Probability measures can be attached to each f...
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ژورنال
عنوان ژورنال: Entropy
سال: 2017
ISSN: 1099-4300
DOI: 10.3390/e19120642