Probability Theory

Achim Klenke, P. (2014). Probability Theory: A Comprehensive Course. Springer.

Type

Book

Intellectual base

Review or monograph

Year

2014

DOI

10.1007/978-1-4471-5361-0

ISBN

9781447153603

Link

https://doi.org/10.1007/978-1-4471-5361-0

Cited by

3 citations across 3 artifacts.

Domain-specific

• Characteristic function (probability theory)
  • The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.
• Equivalence (measure theory)
  • Measures \(\mu\) and \(\nu\) on \((X,\mathcal A)\) are equivalent, written \(\mu\sim\nu\), when \(\mu\ll\nu\) and \(\nu\ll\mu\); equivalently, \(\mu(A)=0\) if and only if \(\nu(A)=0\) for every \(A\in\mathcal A\).
• Markov kernel
  • The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.

Verification

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Registry ID ref:9f868592947a · see in the full table