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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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Log and Brier losses are strictly proper
Statement
For every and , the logarithmic and Brier losses in the definition of finite-label score loss satisfy , with equality only when . The expected logarithmic loss at the truthful forecast is finite, including when some coordinates of vanish.
Statement references
Strictly proper scoring rules on a finite label set: defines the simplex, expected loss, logarithmic loss, Brier loss, and propriety conventions.
The natural logarithm as the inverse of the exponential function: fixes the natural logarithm used in the logarithmic score.
Facts & Assumptions
Given: An integer and .
For , the expected-score term is zero even if the corresponding score is infinite; the logarithmic and Brier losses are the two functions in the definition. Strictly proper scoring rules on a finite label set
The expected score is the finite sum . Strictly proper scoring rules on a finite label set
Proof
If , then for , so [F2] gives . If , then for , so . At equality holds. Therefore for every , with equality exactly at .
If and for some , then [F1] gives , while because this is a finite sum of finite terms. Thus propriety is strict in this case.
Otherwise for every with . The truthful risk is finite, and cancellation on the support of gives Applying step 1.1 to yields If the displayed difference is zero, both nonnegative gaps in this chain are zero. Equality in step 1.1 then forces on the support of , and the second gap forces to have no mass outside that support. Hence . This proves strict propriety for the logarithmic loss.
Expanding the Brier loss and using gives whereas . Subtraction yields , with equality exactly when every . Thus the Brier loss is strictly proper as well.
Source notes
The distinct encyclopedia treatment gives the scoring-rule conventions and categorical formulas (with the logarithmic reward negated). Strictness is proved locally from the declared logarithm supplier, rather than imported from a representation theorem. The displayed finite-sum arguments above separately verify the boundary cases and under this library's nonnegative-loss convention.
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Sources
- Wikipedia contributors, Scoring rule: Definitions; Proper scoring rules; Categorical variables (logarithmic and Brier examples) (standard reference, not scraped)
- J. Lebl, Basic Analysis, Logarithm and Exponential (standard reference, not scraped)