Probability Surveys
E833559
Probability Surveys is an open-access scholarly journal that publishes expository and survey articles on probability theory and its applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Probability Surveys canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9986335 — 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: Probability Surveys Context triple: [Institute of Mathematical Statistics, hasJournal, Probability Surveys]
-
A.
Modern Probability Theory and Its Applications
"Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
-
B.
Probability Theory
Probability Theory is a foundational branch of mathematics that studies random phenomena and quantifies uncertainty using concepts such as probability measures, random variables, and distributions.
-
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.
The Theory of Probability
The Theory of Probability is Hans Reichenbach’s influential philosophical and mathematical treatise that helped establish a rigorous, frequency-based interpretation of probability within the logical empiricist tradition.
-
E.
Foundations of Probability
Foundations of Probability is a seminal textbook by mathematician Alfréd Rényi that presents a rigorous, axiomatic treatment of probability theory.
- 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: Probability Surveys Target entity description: Probability Surveys is an open-access scholarly journal that publishes expository and survey articles on probability theory and its applications.
-
A.
Modern Probability Theory and Its Applications
"Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
-
B.
Probability Theory
Probability Theory is a foundational branch of mathematics that studies random phenomena and quantifies uncertainty using concepts such as probability measures, random variables, and distributions.
-
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.
The Theory of Probability
The Theory of Probability is Hans Reichenbach’s influential philosophical and mathematical treatise that helped establish a rigorous, frequency-based interpretation of probability within the logical empiricist tradition.
-
E.
Foundations of Probability
Foundations of Probability is a seminal textbook by mathematician Alfréd Rényi that presents a rigorous, axiomatic treatment of probability theory.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
open-access journal ⓘ |
| academicDiscipline |
applied probability
ⓘ
probability theory ⓘ statistics ⓘ |
| accessModel | open access ⓘ |
| aim |
to disseminate expository work in probability theory
ⓘ
to provide accessible surveys of current research in probability ⓘ |
| articleType |
expository papers
ⓘ
invited surveys ⓘ |
| contentFocus | probability theory and its applications ⓘ |
| contentType |
expository review
ⓘ
survey ⓘ tutorial ⓘ |
| distributionFormat |
HTML
ⓘ
PDF ⓘ |
| field |
mathematical statistics
ⓘ
stochastic processes ⓘ |
| format | online ⓘ |
| hasArticleProcessingCharges | no or low for authors ⓘ |
| hasCitationPolicy | yes ⓘ |
| hasDigitalPresence | website ⓘ |
| hasEditorialBoard | yes ⓘ |
| hasISSN | electronic ISSN ⓘ |
| hasSubmissionGuidelines | yes ⓘ |
| isAvailableOnline | yes ⓘ |
| isIndexedIn | mathematical literature databases ⓘ |
| isInternational | yes ⓘ |
| isOpenAccess | yes ⓘ |
| language | English ⓘ |
| licensePolicy | authors retain copyright ⓘ |
| peerReview | yes ⓘ |
| publicationModel | continuous publication ⓘ |
| publicationType |
expository articles
ⓘ
survey articles ⓘ |
| publisherType | scholarly society ⓘ |
| reviewProcess | peer-reviewed ⓘ |
| scope |
applications of probability
ⓘ
related areas in statistics and stochastic processes ⓘ theory of probability ⓘ |
| subjectArea |
mathematics
ⓘ
probability and statistics ⓘ |
| targetAudience |
applied probabilists
ⓘ
graduate students in probability and statistics ⓘ researchers in probability theory ⓘ |
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: Probability Surveys Description of subject: Probability Surveys is an open-access scholarly journal that publishes expository and survey articles on probability theory and its applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.