Published February 2018 | Version v1
Journal article

Exact Maximum-Entropy Estimation with Feynman Diagrams

  • 1. Institute for Advanced Study (United States)
  • 2. The Hebrew University of Jerusalem, Department of Mathematics (Israel)
  • 3. ETH Zürich, Institute for Theoretical Studies (Switzerland)

Description

A longstanding open problem in statistics is finding an explicit expression for the probability measure which maximizes entropy with respect to given constraints. In this paper a solution to this problem is found, using perturbative Feynman calculus. The explicit expression is given as a sum over weighted trees.

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Statistical Physics
Journal Volume
170
Journal Issue
4
Journal Page Range
p. 731-747
ISSN
0022-4715
CODEN
JSTPBS

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50027266
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ENTROPY; FEYNMAN DIAGRAM; LIMITING VALUES; MATHEMATICAL SOLUTIONS; PERTURBATION THEORY; PROBABILITY; STATISTICS; WEIGHTING FUNCTIONS
Descriptors DEC
DIAGRAMS; FUNCTIONS; INFORMATION; MATHEMATICS; PHYSICAL PROPERTIES; THERMODYNAMIC PROPERTIES

Optional Information

Copyright
Copyright (c) 2018 Springer Science+Business Media, LLC, part of Springer Nature
Notes
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