Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 279

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Long Range Dependence

Open access
Samorodnitsky, Gennady·2004·Encyclopedia of Actuarial Science

Abstract

Long‐range dependence (synonymous with long memory ) is a property of some stationary processes. Intuitively, the notion is clear: a stationary stochastic process that has long‐range dependence is a process whose memory lasts very long. However, the term ‘long‐range dependence’ means more than simply ‘longer memory’. It means memory so long that the behavior of a stochastic process changes dramatically, and so long that the usual statistical tools break down when applied to observations arising from a long‐range dependent process.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/9780470012505.tal018

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 49 references

Cited by

See all 279

Metadata

Authors
Samorodnitsky, G.
Venue
Encyclopedia of Actuarial Science
Publisher
Wiley
Published
2004-09-24
Volume
1
Issue
3
Pages
163-257
OpenAlex
W2023328381
Cited by
279
References
49
Type
reference entry
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Long Range Dependence. https://app.cochat.ai/papers/10.1002/9780470012505.tal018
The paper
Samorodnitsky, G. (2004). Long Range Dependence. Encyclopedia of Actuarial Science. https://doi.org/10.1002/9780470012505.tal018

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.