Improving Shannon Entropy Estimation through Sample Space Partitioning

This ArXiv paper likely presents a novel method for refining Shannon entropy calculations. The focus on partitioning the sample space suggests an attempt to overcome limitations in existing entropy estimation techniques.

• •Addresses the challenge of accurate Shannon entropy estimation.
• •Proposes a partitioning-based methodology.
• •Potentially improves the reliability of information-theoretic analyses.