Related references
Note: Only part of the references are listed.Statistical criticality arises in most informative representations
Ryan John Cubero et al.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2019)
Network Dynamics of Innovation Processes
Iacopo Iacopini et al.
PHYSICAL REVIEW LETTERS (2018)
Zipf's, Heaps' and Taylor's Laws are Determined by the Expansion into the Adjacent Possible
Francesca Tria et al.
ENTROPY (2018)
Waves of novelties in the expansion into the adjacent possible
Bernardo Monechi et al.
PLOS ONE (2017)
Sample and population exponents of generalized Taylor's law
Andrea Giometto et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)
Understanding scaling through history-dependent processes with collapsing sample space
Bernat Corominas-Murtra et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)
Scaling laws and fluctuations in the statistics of word frequencies
Martin Gerlach et al.
NEW JOURNAL OF PHYSICS (2014)
Stochastic population dynamics in a Markovian environment implies Taylor's power law of fluctuation scaling
Joel E. Cohen
THEORETICAL POPULATION BIOLOGY (2014)
The dynamics of correlated novelties
F. Tria et al.
SCIENTIFIC REPORTS (2014)
Stochastic multiplicative population growth predicts and interprets Taylor's power law of fluctuation scaling
Joel E. Cohen et al.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES (2013)
CONDITIONALLY IDENTICALLY DISTRIBUTED SPECIES SAMPLING SEQUENCES
Federico Bassetti et al.
ADVANCES IN APPLIED PROBABILITY (2010)
A segmented topic model based on the two-parameter Poisson-Dirichlet process
Lan Du et al.
MACHINE LEARNING (2010)
Zipf's Law Leads to Heaps' Law: Analyzing Their Relation in Finite-Size Systems
Linyuan Lue et al.
PLOS ONE (2010)
Limit Theorems for Random Triangular URN Schemes
Rafik Aguech
JOURNAL OF APPLIED PROBABILITY (2009)
Fluctuation scaling in complex systems: Taylor's law and beyond1
Zoltán Eisler et al.
ADVANCES IN PHYSICS (2008)
The observed range for temporal mean-variance scaling exponents can be explained by reproductive correlation
Ford Ballantyne et al.
OIKOS (2007)
Limit theorems for triangular urn schemes
S Janson
PROBABILITY THEORY AND RELATED FIELDS (2006)
Power laws, Pareto distributions and Zipf's law
MEJ Newman
CONTEMPORARY PHYSICS (2005)
Functional limit theorems for multitype branching processes and generalized Polya urns
S Janson
STOCHASTIC PROCESSES AND THEIR APPLICATIONS (2004)
Species interactions can explain Taylor's power law for ecological time series
AM Kilpatrick et al.
NATURE (2003)