Ontology type: schema:ScholarlyArticle Open Access: True
2020-06-03
AUTHORS ABSTRACTWe consider the problem of filtering an unseen Markov chain from noisy observations, in the presence of uncertainty regarding the parameters of the processes involved. Using the theory of nonlinear expectations, we describe the uncertainty in terms of a penalty function, which can be propagated forward in time in the place of the filter. We also investigate a simple control problem in this context. More... »
PAGES4
http://scigraph.springernature.com/pub.10.1186/s41546-020-00046-x
DOIhttp://dx.doi.org/10.1186/s41546-020-00046-x
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1128195215
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Mathematical Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Applied Mathematics",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Mathematical Institute, University of Oxford, Woodstock Road, Oxford, UK",
"id": "http://www.grid.ac/institutes/grid.4991.5",
"name": [
"Mathematical Institute, University of Oxford, Woodstock Road, Oxford, UK"
],
"type": "Organization"
},
"familyName": "Cohen",
"givenName": "Samuel N.",
"id": "sg:person.011444531671.55",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011444531671.55"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s00780-005-0165-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027406383",
"https://doi.org/10.1007/s00780-005-0165-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11579-009-0019-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021648094",
"https://doi.org/10.1007/s11579-009-0019-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4899-3472-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1109705906",
"https://doi.org/10.1007/978-1-4899-3472-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4939-2867-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038434959",
"https://doi.org/10.1007/978-1-4939-2867-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s007800200072",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051514674",
"https://doi.org/10.1007/s007800200072"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00780-009-0119-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032979022",
"https://doi.org/10.1007/s00780-009-0119-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-662-59903-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1120936153",
"https://doi.org/10.1007/978-3-662-59903-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-0-387-76896-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053284837",
"https://doi.org/10.1007/978-0-387-76896-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4899-3561-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031422608",
"https://doi.org/10.1007/978-1-4899-3561-8"
],
"type": "CreativeWork"
}
],
"datePublished": "2020-06-03",
"datePublishedReg": "2020-06-03",
"description": "We consider the problem of filtering an unseen Markov chain from noisy observations, in the presence of uncertainty regarding the parameters of the processes involved. Using the theory of nonlinear expectations, we describe the uncertainty in terms of a penalty function, which can be propagated forward in time in the place of the filter. We also investigate a simple control problem in this context.",
"genre": "article",
"id": "sg:pub.10.1186/s41546-020-00046-x",
"inLanguage": "en",
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.8470258",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1290466",
"issn": [
"2095-9672",
"2367-0126"
],
"name": "Probability, Uncertainty and Quantitative Risk",
"publisher": "American Institute of Mathematical Sciences (AIMS)",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "5"
}
],
"keywords": [
"simple control problem",
"presence of uncertainty",
"nonlinear expectations",
"control problem",
"noisy observations",
"Markov chain",
"discrete time",
"penalty function",
"Hidden Markov Model",
"Markov model",
"uncertainty",
"problem",
"theory",
"filtering",
"parameters",
"filter",
"model",
"terms",
"function",
"time",
"observations",
"chain",
"process",
"expectations",
"context",
"presence",
"place"
],
"name": "Uncertainty and filtering of hidden Markov models in discrete time",
"pagination": "4",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1128195215"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s41546-020-00046-x"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s41546-020-00046-x",
"https://app.dimensions.ai/details/publication/pub.1128195215"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:37",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_856.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1186/s41546-020-00046-x"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s41546-020-00046-x'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s41546-020-00046-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s41546-020-00046-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s41546-020-00046-x'
This table displays all metadata directly associated to this object as RDF triples.
123 TRIPLES
22 PREDICATES
61 URIs
44 LITERALS
6 BLANK NODES