Theorems · Theorem · statistics
ProbabilityTheory.bayesRisk_le_bayesRisk_map
∀ {Θ : Type u_1} {𝓧 : Type u_2} {𝓧' : Type u_3} {𝓨 : Type u_4} {mΘ : MeasurableSpace Θ} {m𝓧 : MeasurableSpace 𝓧}
{m𝓧' : MeasurableSpace 𝓧'} {m𝓨 : MeasurableSpace 𝓨} (ℓ : Θ → 𝓨 → ENNReal) (P : ProbabilityTheory.Kernel Θ 𝓧)
(π : MeasureTheory.Measure Θ) {f : 𝓧 → 𝓧'},
Measurable f → ProbabilityTheory.bayesRisk ℓ P π ≤ ProbabilityTheory.bayesRisk ℓ (P.map f) πData processing inequality for the Bayes risk with respect to a prior: taking the map of the data generating kernel by a function increases the risk.
- Defined in
- Mathlib.Probability.Decision.Risk.Basic
- Cited by
- 0 results in Mathlib
- Foundations
- Depth 218 from the axioms · uses propext, Classical.choice, Quot.sound
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Cites10
Mathlib declarations this one mentions in its statement or cites explicitly in its proof. Plumbing is filtered out.
- MeasurableSpacestatement and proof · cited by 13,106
- MeasureTheory.Measurestatement and proof · cited by 10,939
- ENNRealstatement and proof · cited by 9,879
- Measurablestatement and proof · cited by 1,499
- ProbabilityTheory.Kernelstatement and proof · cited by 1,281
- ProbabilityTheory.Kernel.mapstatement · cited by 84
- ProbabilityTheory.Kernel.deterministicproof · cited by 57
- ProbabilityTheory.bayesRiskstatement and proof · cited by 31
- ProbabilityTheory.Kernel.deterministic_comp_eq_mapproof · cited by 8
- ProbabilityTheory.bayesRisk_le_bayesRisk_compproof · cited by 2
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