Probability theory and stochastic processes Concept
Geometric probability
Builds on Probability space
Summary
Geometric probability studies random geometric objects, such as random points, lines or shapes in the plane or in space. In the simplest case, a point is chosen uniformly in a region of finite positive area. Then the probability of a subregion is the area of divided by the area of . Classic problems are Buffon's needle problem and the Bertrand paradox.
Remarks
The same rule works with length on a line and with volume in space. Mathematicians studied such problems from the 17th century on. Their modern form is part of integral geometry and stochastic geometry.
Reading path
To understand this page from the ground up, read these 29 pages in order. The foundations come first.
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- Construction of the reals from Cauchy sequences concept
- Element definition
- Integers object
- Ordered field definition
- Proposition concept
- Random experiment concept
- Rational numbers object
- Set definition
- Ring of integers statement
- Disjunction definition
- Implication definition
- Predicate definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Universal quantifier definition
- Subset definition
- The rationals form an ordered field statement
- Power set definition
- Universal set definition
- Order on the reals definition
- Complement definition
- Interval definition
- Sigma-algebra definition
- Event definition
- Probability axioms concept
- Probability measure definition
- Probability space definition
- Geometric probability concept
Where this leads
4 pages build on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Geometric_probability, lead section
About this page
| Tag | 0924BCD257 |
|---|---|
| URI | m2://0924BCD257 |
| Kind | concept |
| Writing | W0 stub |
| MSC | 60D05 |
| Uses | Probability space |
| Same as |
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