REVIEW 1 cited by
Entropy and Diversity: The Axiomatic Approach
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
This book brings new mathematical rigour to the ongoing vigorous debate on how to quantify biological diversity. The question "what is diversity?" has surprising mathematical depth, and breadth too: this book involves parts of mathematics ranging from information theory, functional equations and probability theory to category theory, geometric measure theory and number theory. It applies the power of the axiomatic method to a biological problem of pressing concern, but the new concepts and theorems are also motivated from a purely mathematical perspective. The main narrative thread requires no more than an undergraduate course in analysis. No familiarity with entropy or diversity is assumed.
Forward citations
Cited by 1 Pith paper
-
X-Factor: Quality Is a Dataset-Intrinsic Property
Across 2,500 class-balanced MNIST subsets and 10 model architectures, test-error Z-scores correlate strongly across models (mean R2=0.82 excluding GNB), supporting dataset quality as an intrinsic property.
Discussion (0). Continue with ORCID to comment.