An upper bound for entropy of discrete distributions having assigned moments.
Aldo TaglianiPublished in: Appl. Math. Comput. (2002)
Keyphrases
- upper bound
- lower bound
- cumulative residual entropy
- kullback leibler divergence
- worst case
- orthogonal polynomials
- probability distribution
- mutual information
- information theory
- krawtchouk moments
- branch and bound
- branch and bound algorithm
- efficient algorithms to compute
- random variables
- discrete version
- information entropy
- lower and upper bounds
- discrete data
- continuous domains
- error probability
- probability density
- generalization error
- information theoretic
- multivariate gaussian
- exponential distributions
- orthogonal moments
- genetic algorithm
- linear functions
- discrete geometry
- continuous data
- power law
- zernike moments
- fourier descriptors
- sample complexity
- finite number
- covariance matrix