Annals of Statistics
E833555
Annals of Statistics is a leading peer-reviewed journal publishing research in theoretical and methodological statistics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Annals of Statistics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9986330 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annals of Statistics Context triple: [Institute of Mathematical Statistics, hasJournal, Annals of Statistics]
-
A.
Journal of the American Statistical Association
The Journal of the American Statistical Association is a leading peer-reviewed scholarly journal covering theoretical and applied statistics across a wide range of scientific disciplines.
-
B.
The American Statistician
The American Statistician is a peer-reviewed journal that features articles on statistical practice, theory, and education, published by the American Statistical Association.
-
C.
Institute of Mathematical Statistics
The Institute of Mathematical Statistics is a leading international professional society dedicated to the development and dissemination of theory and applications in statistics and probability.
-
D.
Journal of Business & Economic Statistics
The Journal of Business & Economic Statistics is a leading peer-reviewed academic journal focusing on the development and application of statistical methods in business, finance, and economics.
-
E.
Biometrika
Biometrika is a leading peer-reviewed scientific journal specializing in theoretical statistics and probability.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annals of Statistics Target entity description: Annals of Statistics is a leading peer-reviewed journal publishing research in theoretical and methodological statistics.
-
A.
Journal of the American Statistical Association
The Journal of the American Statistical Association is a leading peer-reviewed scholarly journal covering theoretical and applied statistics across a wide range of scientific disciplines.
-
B.
The American Statistician
The American Statistician is a peer-reviewed journal that features articles on statistical practice, theory, and education, published by the American Statistical Association.
-
C.
Institute of Mathematical Statistics
The Institute of Mathematical Statistics is a leading international professional society dedicated to the development and dissemination of theory and applications in statistics and probability.
-
D.
Journal of Business & Economic Statistics
The Journal of Business & Economic Statistics is a leading peer-reviewed academic journal focusing on the development and application of statistical methods in business, finance, and economics.
-
E.
Biometrika
Biometrika is a leading peer-reviewed scientific journal specializing in theoretical statistics and probability.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
statistics journal ⓘ |
| abbreviation | Ann. Stat. NERFINISHED ⓘ |
| acceptsSubmissionType |
discussion papers
ⓘ
original research ⓘ review articles ⓘ |
| countryOfPublication |
United States of America
ⓘ
surface form:
United States
|
| coversTopic |
Bayesian statistics
ⓘ
asymptotic theory ⓘ estimation theory ⓘ high-dimensional statistics ⓘ hypothesis testing ⓘ multivariate analysis ⓘ nonparametric statistics ⓘ probability theory related to statistics ⓘ semiparametric methods ⓘ statistical inference ⓘ |
| discipline | statistics ⓘ |
| firstIssueYear | 1973 ⓘ |
| focusesOn |
methodological statistics
ⓘ
theoretical statistics ⓘ |
| hasEISSN | 2168-8966 ⓘ |
| hasFormat |
online
ⓘ
print ⓘ |
| hasISSN | 0090-5364 ⓘ |
| hasOnlineArchive | https://projecteuclid.org/journals/annals-of-statistics ⓘ |
| hasWebsite | https://imstat.org/journals-and-publications/annals-of-statistics/ ⓘ |
| isFlagshipJournalOf | Institute of Mathematical Statistics NERFINISHED ⓘ |
| isIndexedIn |
MathSciNet
NERFINISHED
ⓘ
Science Citation Index NERFINISHED ⓘ Scopus NERFINISHED ⓘ Zentralblatt MATH NERFINISHED ⓘ |
| isPeerReviewed | true ⓘ |
| language | English ⓘ |
| peerReviewType | single-blind review ⓘ |
| predecessor | Annals of Mathematical Statistics NERFINISHED ⓘ |
| publicationFrequency | bimonthly ⓘ |
| publisher | Institute of Mathematical Statistics NERFINISHED ⓘ |
| publishes |
methodological papers
ⓘ
research articles ⓘ theoretical papers ⓘ |
| subjectArea |
mathematical statistics
ⓘ
probability and statistics ⓘ statistical methodology ⓘ statistical theory ⓘ |
| targetAudience |
mathematicians
ⓘ
statisticians ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Annals of Statistics Description of subject: Annals of Statistics is a leading peer-reviewed journal publishing research in theoretical and methodological statistics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.