0301933 Information Theory (3 Credit Hours)
Course Description :Functional equations, classification of information measures, survey of well known measures, required properties of information measures, axiomatic approach to characterizations of entropies, extensions of entropies to the continuous case, relationship measures, sufficient partitions and efficiency, maximum-entropy models, Akaiki information criterion and model selection, Kullback-Leibler divergence and testing statistical models.
Department :Mathematics
Program :PhD%20in%20Mathematics
Course Level :Doctorate
Course Outline :
0301933 New.pdf