Probability and Stochastics

Çınlar, E. (2011). Probability and Stochastics. Springer.

Type

Book

Intellectual base

Review or monograph

Year

2011

DOI

10.1007/978-0-387-87859-1

ISBN

9780387878584

DOI registrant

Springer Nature

Link

https://doi.org/10.1007/978-0-387-87859-1

Cited by

2 citations across 2 artifacts.

Domain-specific

• Information dimension
  • Rényi's upper and lower information dimensions divide quantized entropy by the logarithm of resolution; when the limits agree they quantify distributional fractal dimension and analog compression complexity.
• Markov kernel
  • … transfers from A finite-state transition matrix defines a Markov kernel by assigning each state the probability distribution in its matrix row. to A proof states source and target sigma-algebras and distinguishes a regular conditional distribution's existence assumptions from the abstract kernel definition..

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Registry ID ref:0b30626623f7 · see in the full table