For a topological space, Σ10 is the class of open sets and Πα0 consists of complements of Σα0 sets. For countable α>1, Σα0 consists of countable unions of sets in ⋃β<αΠβ0. These countable levels contain every Borel set. Continuous inverse images preserve each level, by induction using openness, complementation and countable unions.
The Borel sigma-algebra of a topological space X is the sigma-algebra generated by its open sets. Its members are exactly the Borel sets.
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- Absolutely continuous probability distribution
- Analytic set
- Baire-property reduction for completely Ramsey families
- Borel hierarchy
- Borel measurable function
- Borel measure
- Borel null set
- Borel postcomposition preserves Lebesgue measurability
- Borel sigma-algebra
- Compact group
- Conditional independence
- Continuity set of a function
- Counting measure
- Dirac measure
- Doob-Dynkin lemma
- Ellentuck Borel sets are completely Ramsey
- Euclidean body
- Events determined by a random variable
- Finite-height polynomial root avoidance
- Haar measure
- Hausdorff measure
- Independent random variables
- Intensity measure of a point process
- Lebesgue measurable function
- Lebesgue measurable sections
- Lebesgue measurable set
- Mass distribution principle
- Measurable set
- Metric outer measure
- Parity construction of pairwise independent bits
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- Point process
- Probability density function
- Projective hierarchy
- Randomly shifted lattice point process
- Random variable
- Regular outer measure
- Shared random rate gives dependent point counts
- Sierpiński set
- Sigma-algebra generated by a random variable
- Sigma-algebra of a finite-valued random vector
- Standard Borel space
- Survival-observation predictable sigma-algebra
- Symmetric Gaussian translation lower bound
- Window count of a point process
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