Long-Range Correlation Underlying Childhood Language and Generative Models
Long-range correlation, a property of time series exhibiting relevant statistical dependence between two distant subsequences, is mainly studied in the statistical physics domain and has been reported to exist in natural language. By using a state-of-the-art method for such analysis, long-range corr...
Main Author: | Kumiko Tanaka-Ishii |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-09-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fpsyg.2018.01725/full |
Similar Items
-
Prior Sensitivity Analysis in a Semi-Parametric Integer-Valued Time Series Model
by: Helton Graziadei, et al.
Published: (2020-01-01) -
Redundancy of Exchangeable Estimators
by: Narayana P. Santhanam, et al.
Published: (2014-10-01) -
Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation
by: Shanshan Zhao, et al.
Published: (2021-02-01) -
A simple proof of Pitman–Yor’s Chinese restaurant process from its stick-breaking representation
by: Lawless Caroline, et al.
Published: (2019-03-01) -
A minimal-maximal correlation-type goodness-of-fit test
by: White, Josie
Published: (2014)