Evidence map›Paper›PMID 33287033›Full record

ArticleEntropy (Basel, Switzerland)2020

Information Length Analysis of Linear Autonomous Stochastic Processes.

Adrian-Josue Guel-Cortez, Eun-Jin Kim

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Memory and Markov Blankets.Entropy (Basel, Switzerland) · 2021
    Article
  4. Causal Information Rate.Entropy (Basel, Switzerland) · 2021
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Adrian-Josue Guel-CortezCentre for Fluid and Complex Systems, Coventry University, Priory St, Coventry CV1 5FB, UK.ORCID 0000-0002-9325-9956
Eun-Jin KimCentre for Fluid and Complex Systems, Coventry University, Priory St, Coventry CV1 5FB, UK.ORCID 0000-0001-5607-6635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When studying the behaviour of complex dynamical systems, a statistical formulation can provide useful insights. In particular, information geometry is a promising tool for this purpose. In this paper, we investigate the information length for

Indexed as

entropyfluctuationsinformation geometryinformation lengthnon-equilibriumstochastic processestime-dependent PDF

Identifiers

PMID33287033
PMCPMC7711802

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.