TotalVariation / CONCEPT
Symmetric Bernoulli Probability Data
The symmetric Bernoulli bias laws have unit mass at every real bias and are nonnegative on the closed probability range.
Closed
DIRECT PREREQUISITES1
DIRECT CONSEQUENCES0
PROOF DEPTH8
DOCUMENT LINKS1
The positive-bias law has unit mass at every real bias
RELATIONSHIP ATLAS
Every connection, in context.
Direct recorded relationships
Proof dependencyStructural affinityDocument link
Certified topology / UPSTREAM
Prerequisites
Certified topology / DOWNSTREAM
Consequences
None recorded in this release.
RELATED KNOWLEDGE
Structural connections
- Finite PMF Likelihood Constructionstructural-affinity · Closed
- Four Local Evidence Closed Formsstructural-affinity · Closed
- Geometry of a Finite Spectral Familystructural-affinity · Closed
- Joint Convexity of Total Variation and Squared Hellinger Distancestructural-affinity · Closed
- Squared Hellinger Distance, Divergence, and Metric Lawsstructural-affinity · Closed
- Symmetric Bernoulli Second-Order Evidencestructural-affinity · Closed
- Symmetric Binomial Chi-Square Defectstructural-affinity · Closed
- Weak Prime Evidence Has Finite Totalstructural-affinity · Closed
Documents & exposition
Other authored & advisory relationships
None recorded in this release.
LIBRARY / RELEASE VERSIONS
Content history
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