Understanding frequency distributions of path-dependent processes with non-multinomial maximum entropy approaches
From MaRDI portal
Publication:6100602
DOI10.1088/1367-2630/aa611dzbMath1514.60013arXiv1511.00414OpenAlexW2587924268MaRDI QIDQ6100602
Stefan Thurner, Rudolf Hanel, Bernat Corominas-Murtra
Publication date: 12 May 2023
Published in: New Journal of Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1511.00414
Central limit and other weak theorems (60F05) Combinatorial probability (60C05) Measures of information, entropy (94A17) Functional limit theorems; invariance principles (60F17)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Inventing new signals
- Interval estimation for response adaptive clinical trials
- The Pólya information divergence
- Martingale functional central limit theorems for a generalized Pólya urn
- Pólya-like urns and the Ewens' sampling formula
- Partition structures, Polya urns, the Ewens sampling formula, and the ages of alleles
- Central limit theorems for urn models
- On generalized Pólya urn models
- Functional limit theorems for multitype branching processes and generalized Pólya urns.
- The time resolution of the St. Petersburg paradox
- Asymptotic Normality in the Generalized Polya–Eggenberger Urn Model, with an Application to Computer Data Structures
- The Equalization Probability of the Pólya Urn
- Prior Probabilities
- On Information and Sufficiency
This page was built for publication: Understanding frequency distributions of path-dependent processes with non-multinomial maximum entropy approaches