The DOI matches its Crossref record; the references it cites are not checked yet.
Extreme Value Theory for Applications
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Grounded in extreme value theory (Embrechts et al. 2013), our shorter-term forecast methodology offers an advancement to prior operationalizations because risks probabilities (Table 5) (Galambos 1994) provide a more accurate depiction than retrospective or future-oriented forecasts with long temporal windows (e.g. 2071–2100).”
From Forecasting thermal stress for sports tourists at the 2026 FIFA World Cup (2024) · cites this paper as Galambos 1994
Citations
The citation lists are queued
They are fetched later and appear here then.
References 27 · Cited by 24
Research works printed but not linked: 2
- Galambos, J. and Xu, Y. (1990). Regularly varying expected residual life and domains of attraction of extreme value distributions. Ann. Univ. Sci. Budapest, Sectio Math. 33, 105–108.
- Nevzorov, V.B. (1987). Records. Teoriya Veroyatnost. i. Primenen. 32, 219–251.
Metadata
- Authors
- Galambos, J.
- Venue
- Extreme Value Theory and Applications
- Publisher
- Springer US
- Published
- 1994
- Pages
- 1-14
- OpenAlex
- W159880159
- Cited by
- 24
- References
- 27
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 2 · 2017: 1 · 2016: 1 · 2015: 1 · 2012: 1
- FWCI
- 2.91
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Probability and Risk Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- extreme value theory, extreme values, theory-practice gap, probability theory
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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Extreme Value Theory for Applications. https://app.cochat.ai/papers/10.1007/978-1-4613-3638-9_1
- The paper
- Galambos, J. (1994). Extreme Value Theory for Applications. Extreme Value Theory and Applications. https://doi.org/10.1007/978-1-4613-3638-9_1
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.
