Bayesian Adaptive Selection Under Prior Ignorance Article Swipe
Tathagata Basu
,
Matthias C. M. Troffaes
,
Jochen Einbeck
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1007/978-3-030-80542-5_22
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1007/978-3-030-80542-5_22
Bayesian variable selection is one of the popular topics in modern day statistics. It is an important tool for high dimensional statistics, where the number of model parameters is greater than the number of observations. Several Bayesian models have been proposed for variable selection. However, a convincing robust Bayesian approach is yet to be investigated. Here in this work, we investigate sensitivity analysis over a simplex of probability measures. We sample from this simplex to get an inclusion probability of each variable. The sensitivity analysis gives us a set of posteriors instead of a single posterior. This set of posteriors gives us a behaviour of the model parameters with respect to different prior elicitations resulting in robust inferential conclusions.
Related Topics
Concepts
Bayesian probability
Bayesian statistics
Selection (genetic algorithm)
Statistics
Variable (mathematics)
Computer science
Posterior probability
Prior probability
Sensitivity (control systems)
Simplex
Bayesian inference
Bayesian average
Set (abstract data type)
Ignorance
Mathematics
Artificial intelligence
Engineering
Geometry
Epistemology
Programming language
Electronic engineering
Mathematical analysis
Philosophy
Metadata
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.1007/978-3-030-80542-5_22
- OA Status
- gold
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4210469347
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4210469347Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/978-3-030-80542-5_22Digital Object Identifier
- Title
-
Bayesian Adaptive Selection Under Prior IgnoranceWork title
- Type
-
book-chapterOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Tathagata Basu, Matthias C. M. Troffaes, Jochen EinbeckList of authors in order
- Landing page
-
https://doi.org/10.1007/978-3-030-80542-5_22Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://durham-repository.worktribe.com/output/1138537Direct OA link when available
- Concepts
-
Bayesian probability, Bayesian statistics, Selection (genetic algorithm), Statistics, Variable (mathematics), Computer science, Posterior probability, Prior probability, Sensitivity (control systems), Simplex, Bayesian inference, Bayesian average, Set (abstract data type), Ignorance, Mathematics, Artificial intelligence, Engineering, Geometry, Epistemology, Programming language, Electronic engineering, Mathematical analysis, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
13Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4210469347 |
|---|---|
| doi | https://doi.org/10.1007/978-3-030-80542-5_22 |
| ids.doi | https://doi.org/10.1007/978-3-030-80542-5_22 |
| ids.openalex | https://openalex.org/W4210469347 |
| fwci | 0.0 |
| type | book-chapter |
| title | Bayesian Adaptive Selection Under Prior Ignorance |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 378 |
| biblio.first_page | 365 |
| topics[0].id | https://openalex.org/T10136 |
| topics[0].field.id | https://openalex.org/fields/26 |
| topics[0].field.display_name | Mathematics |
| topics[0].score | 0.9995999932289124 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2613 |
| topics[0].subfield.display_name | Statistics and Probability |
| topics[0].display_name | Statistical Methods and Inference |
| topics[1].id | https://openalex.org/T11901 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9991999864578247 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Bayesian Methods and Mixture Models |
| topics[2].id | https://openalex.org/T10243 |
| topics[2].field.id | https://openalex.org/fields/26 |
| topics[2].field.display_name | Mathematics |
| topics[2].score | 0.9983999729156494 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2613 |
| topics[2].subfield.display_name | Statistics and Probability |
| topics[2].display_name | Statistical Methods and Bayesian Inference |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C107673813 |
| concepts[0].level | 2 |
| concepts[0].score | 0.665777325630188 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q812534 |
| concepts[0].display_name | Bayesian probability |
| concepts[1].id | https://openalex.org/C101112237 |
| concepts[1].level | 4 |
| concepts[1].score | 0.5458002090454102 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q4874481 |
| concepts[1].display_name | Bayesian statistics |
| concepts[2].id | https://openalex.org/C81917197 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5161860585212708 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q628760 |
| concepts[2].display_name | Selection (genetic algorithm) |
| concepts[3].id | https://openalex.org/C105795698 |
| concepts[3].level | 1 |
| concepts[3].score | 0.4991178512573242 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[3].display_name | Statistics |
| concepts[4].id | https://openalex.org/C182365436 |
| concepts[4].level | 2 |
| concepts[4].score | 0.48080840706825256 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q50701 |
| concepts[4].display_name | Variable (mathematics) |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.4805460572242737 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C57830394 |
| concepts[6].level | 3 |
| concepts[6].score | 0.4759780466556549 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q278079 |
| concepts[6].display_name | Posterior probability |
| concepts[7].id | https://openalex.org/C177769412 |
| concepts[7].level | 3 |
| concepts[7].score | 0.4750932455062866 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q278090 |
| concepts[7].display_name | Prior probability |
| concepts[8].id | https://openalex.org/C21200559 |
| concepts[8].level | 2 |
| concepts[8].score | 0.46894025802612305 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7451068 |
| concepts[8].display_name | Sensitivity (control systems) |
| concepts[9].id | https://openalex.org/C62438384 |
| concepts[9].level | 2 |
| concepts[9].score | 0.46348005533218384 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q331350 |
| concepts[9].display_name | Simplex |
| concepts[10].id | https://openalex.org/C160234255 |
| concepts[10].level | 3 |
| concepts[10].score | 0.46107223629951477 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q812535 |
| concepts[10].display_name | Bayesian inference |
| concepts[11].id | https://openalex.org/C149569020 |
| concepts[11].level | 5 |
| concepts[11].score | 0.4570044279098511 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q25098598 |
| concepts[11].display_name | Bayesian average |
| concepts[12].id | https://openalex.org/C177264268 |
| concepts[12].level | 2 |
| concepts[12].score | 0.451272189617157 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[12].display_name | Set (abstract data type) |
| concepts[13].id | https://openalex.org/C2778732403 |
| concepts[13].level | 2 |
| concepts[13].score | 0.4322543740272522 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q815577 |
| concepts[13].display_name | Ignorance |
| concepts[14].id | https://openalex.org/C33923547 |
| concepts[14].level | 0 |
| concepts[14].score | 0.42328575253486633 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[14].display_name | Mathematics |
| concepts[15].id | https://openalex.org/C154945302 |
| concepts[15].level | 1 |
| concepts[15].score | 0.33141618967056274 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[15].display_name | Artificial intelligence |
| concepts[16].id | https://openalex.org/C127413603 |
| concepts[16].level | 0 |
| concepts[16].score | 0.06558504700660706 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[16].display_name | Engineering |
| concepts[17].id | https://openalex.org/C2524010 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[17].display_name | Geometry |
| concepts[18].id | https://openalex.org/C111472728 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[18].display_name | Epistemology |
| concepts[19].id | https://openalex.org/C199360897 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[19].display_name | Programming language |
| concepts[20].id | https://openalex.org/C24326235 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q126095 |
| concepts[20].display_name | Electronic engineering |
| concepts[21].id | https://openalex.org/C134306372 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[21].display_name | Mathematical analysis |
| concepts[22].id | https://openalex.org/C138885662 |
| concepts[22].level | 0 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[22].display_name | Philosophy |
| keywords[0].id | https://openalex.org/keywords/bayesian-probability |
| keywords[0].score | 0.665777325630188 |
| keywords[0].display_name | Bayesian probability |
| keywords[1].id | https://openalex.org/keywords/bayesian-statistics |
| keywords[1].score | 0.5458002090454102 |
| keywords[1].display_name | Bayesian statistics |
| keywords[2].id | https://openalex.org/keywords/selection |
| keywords[2].score | 0.5161860585212708 |
| keywords[2].display_name | Selection (genetic algorithm) |
| keywords[3].id | https://openalex.org/keywords/statistics |
| keywords[3].score | 0.4991178512573242 |
| keywords[3].display_name | Statistics |
| keywords[4].id | https://openalex.org/keywords/variable |
| keywords[4].score | 0.48080840706825256 |
| keywords[4].display_name | Variable (mathematics) |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.4805460572242737 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/posterior-probability |
| keywords[6].score | 0.4759780466556549 |
| keywords[6].display_name | Posterior probability |
| keywords[7].id | https://openalex.org/keywords/prior-probability |
| keywords[7].score | 0.4750932455062866 |
| keywords[7].display_name | Prior probability |
| keywords[8].id | https://openalex.org/keywords/sensitivity |
| keywords[8].score | 0.46894025802612305 |
| keywords[8].display_name | Sensitivity (control systems) |
| keywords[9].id | https://openalex.org/keywords/simplex |
| keywords[9].score | 0.46348005533218384 |
| keywords[9].display_name | Simplex |
| keywords[10].id | https://openalex.org/keywords/bayesian-inference |
| keywords[10].score | 0.46107223629951477 |
| keywords[10].display_name | Bayesian inference |
| keywords[11].id | https://openalex.org/keywords/bayesian-average |
| keywords[11].score | 0.4570044279098511 |
| keywords[11].display_name | Bayesian average |
| keywords[12].id | https://openalex.org/keywords/set |
| keywords[12].score | 0.451272189617157 |
| keywords[12].display_name | Set (abstract data type) |
| keywords[13].id | https://openalex.org/keywords/ignorance |
| keywords[13].score | 0.4322543740272522 |
| keywords[13].display_name | Ignorance |
| keywords[14].id | https://openalex.org/keywords/mathematics |
| keywords[14].score | 0.42328575253486633 |
| keywords[14].display_name | Mathematics |
| keywords[15].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[15].score | 0.33141618967056274 |
| keywords[15].display_name | Artificial intelligence |
| keywords[16].id | https://openalex.org/keywords/engineering |
| keywords[16].score | 0.06558504700660706 |
| keywords[16].display_name | Engineering |
| language | en |
| locations[0].id | doi:10.1007/978-3-030-80542-5_22 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S4210228555 |
| locations[0].source.issn | 1389-1766 |
| locations[0].source.type | book series |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1389-1766 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Space technology proceedings |
| locations[0].source.host_organization | https://openalex.org/P4310320108 |
| locations[0].source.host_organization_name | Springer Nature (Netherlands) |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320108, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Springer Nature (Netherlands), Springer Nature |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | book-chapter |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Space Technology Proceedings |
| locations[0].landing_page_url | https://doi.org/10.1007/978-3-030-80542-5_22 |
| locations[1].id | pmh:oai:dro.dur.ac.uk.OAI2:35584 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306400188 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Durham Research Online (Durham University) |
| locations[1].source.host_organization | https://openalex.org/I190082696 |
| locations[1].source.host_organization_name | Durham University |
| locations[1].source.host_organization_lineage | https://openalex.org/I190082696 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | acceptedVersion |
| locations[1].raw_type | Conference item |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | False |
| locations[1].raw_source_name | UQOP 2020 [Conference proceedings] |
| locations[1].landing_page_url | http://dro.dur.ac.uk/35584/ |
| locations[2].id | pmh:oai:durham-repository.worktribe.com:1138537 |
| locations[2].is_oa | True |
| locations[2].source | |
| locations[2].license | cc-by |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | acceptedVersion |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://durham-repository.worktribe.com/output/1138537 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5065361277 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6851-154X |
| authorships[0].author.display_name | Tathagata Basu |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I190082696 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Mathematical Sciences, Durham University, Durham, UK |
| authorships[0].institutions[0].id | https://openalex.org/I190082696 |
| authorships[0].institutions[0].ror | https://ror.org/01v29qb04 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I190082696 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | Durham University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Tathagata Basu |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Mathematical Sciences, Durham University, Durham, UK |
| authorships[1].author.id | https://openalex.org/A5086689994 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1294-600X |
| authorships[1].author.display_name | Matthias C. M. Troffaes |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I190082696 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Mathematical Sciences, Durham University, Durham, UK |
| authorships[1].institutions[0].id | https://openalex.org/I190082696 |
| authorships[1].institutions[0].ror | https://ror.org/01v29qb04 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I190082696 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | Durham University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Matthias C. M. Troffaes |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Mathematical Sciences, Durham University, Durham, UK |
| authorships[2].author.id | https://openalex.org/A5043682721 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-9457-2020 |
| authorships[2].author.display_name | Jochen Einbeck |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I190082696 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Mathematical Sciences, Durham University, Durham, UK |
| authorships[2].institutions[0].id | https://openalex.org/I190082696 |
| authorships[2].institutions[0].ror | https://ror.org/01v29qb04 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I190082696 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | Durham University |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Jochen Einbeck |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Mathematical Sciences, Durham University, Durham, UK |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://durham-repository.worktribe.com/output/1138537 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Bayesian Adaptive Selection Under Prior Ignorance |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10136 |
| primary_topic.field.id | https://openalex.org/fields/26 |
| primary_topic.field.display_name | Mathematics |
| primary_topic.score | 0.9995999932289124 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2613 |
| primary_topic.subfield.display_name | Statistics and Probability |
| primary_topic.display_name | Statistical Methods and Inference |
| related_works | https://openalex.org/W3006565005, https://openalex.org/W2964314781, https://openalex.org/W4287868071, https://openalex.org/W4389708677, https://openalex.org/W2032094637, https://openalex.org/W4246347010, https://openalex.org/W1591629481, https://openalex.org/W4205763938, https://openalex.org/W4295719713, https://openalex.org/W2981461142 |
| cited_by_count | 0 |
| locations_count | 3 |
| best_oa_location.id | pmh:oai:durham-repository.worktribe.com:1138537 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | acceptedVersion |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://durham-repository.worktribe.com/output/1138537 |
| primary_location.id | doi:10.1007/978-3-030-80542-5_22 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S4210228555 |
| primary_location.source.issn | 1389-1766 |
| primary_location.source.type | book series |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1389-1766 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Space technology proceedings |
| primary_location.source.host_organization | https://openalex.org/P4310320108 |
| primary_location.source.host_organization_name | Springer Nature (Netherlands) |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320108, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Springer Nature (Netherlands), Springer Nature |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | book-chapter |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Space Technology Proceedings |
| primary_location.landing_page_url | https://doi.org/10.1007/978-3-030-80542-5_22 |
| publication_date | 2021-01-01 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W2107414671, https://openalex.org/W1541925507, https://openalex.org/W2074682976, https://openalex.org/W2007069447, https://openalex.org/W1969415786, https://openalex.org/W2007107436, https://openalex.org/W1981299323, https://openalex.org/W1982652137, https://openalex.org/W2566065221, https://openalex.org/W2135046866, https://openalex.org/W2020925091, https://openalex.org/W3105620286, https://openalex.org/W3104869474 |
| referenced_works_count | 13 |
| abstract_inverted_index.a | 45, 64, 87, 93, 102 |
| abstract_inverted_index.It | 13 |
| abstract_inverted_index.We | 69 |
| abstract_inverted_index.an | 15, 76 |
| abstract_inverted_index.be | 53 |
| abstract_inverted_index.in | 9, 56, 115 |
| abstract_inverted_index.is | 3, 14, 28, 50 |
| abstract_inverted_index.of | 5, 25, 33, 66, 79, 89, 92, 98, 104 |
| abstract_inverted_index.to | 52, 74, 110 |
| abstract_inverted_index.us | 86, 101 |
| abstract_inverted_index.we | 59 |
| abstract_inverted_index.The | 82 |
| abstract_inverted_index.day | 11 |
| abstract_inverted_index.for | 18, 41 |
| abstract_inverted_index.get | 75 |
| abstract_inverted_index.one | 4 |
| abstract_inverted_index.set | 88, 97 |
| abstract_inverted_index.the | 6, 23, 31, 105 |
| abstract_inverted_index.yet | 51 |
| abstract_inverted_index.Here | 55 |
| abstract_inverted_index.This | 96 |
| abstract_inverted_index.been | 39 |
| abstract_inverted_index.each | 80 |
| abstract_inverted_index.from | 71 |
| abstract_inverted_index.have | 38 |
| abstract_inverted_index.high | 19 |
| abstract_inverted_index.over | 63 |
| abstract_inverted_index.than | 30 |
| abstract_inverted_index.this | 57, 72 |
| abstract_inverted_index.tool | 17 |
| abstract_inverted_index.with | 108 |
| abstract_inverted_index.gives | 85, 100 |
| abstract_inverted_index.model | 26, 106 |
| abstract_inverted_index.prior | 112 |
| abstract_inverted_index.where | 22 |
| abstract_inverted_index.work, | 58 |
| abstract_inverted_index.models | 37 |
| abstract_inverted_index.modern | 10 |
| abstract_inverted_index.number | 24, 32 |
| abstract_inverted_index.robust | 47, 116 |
| abstract_inverted_index.sample | 70 |
| abstract_inverted_index.single | 94 |
| abstract_inverted_index.topics | 8 |
| abstract_inverted_index.Several | 35 |
| abstract_inverted_index.greater | 29 |
| abstract_inverted_index.instead | 91 |
| abstract_inverted_index.popular | 7 |
| abstract_inverted_index.respect | 109 |
| abstract_inverted_index.simplex | 65, 73 |
| abstract_inverted_index.Bayesian | 0, 36, 48 |
| abstract_inverted_index.However, | 44 |
| abstract_inverted_index.analysis | 62, 84 |
| abstract_inverted_index.approach | 49 |
| abstract_inverted_index.proposed | 40 |
| abstract_inverted_index.variable | 1, 42 |
| abstract_inverted_index.behaviour | 103 |
| abstract_inverted_index.different | 111 |
| abstract_inverted_index.important | 16 |
| abstract_inverted_index.inclusion | 77 |
| abstract_inverted_index.measures. | 68 |
| abstract_inverted_index.resulting | 114 |
| abstract_inverted_index.selection | 2 |
| abstract_inverted_index.variable. | 81 |
| abstract_inverted_index.convincing | 46 |
| abstract_inverted_index.parameters | 27, 107 |
| abstract_inverted_index.posterior. | 95 |
| abstract_inverted_index.posteriors | 90, 99 |
| abstract_inverted_index.selection. | 43 |
| abstract_inverted_index.dimensional | 20 |
| abstract_inverted_index.inferential | 117 |
| abstract_inverted_index.investigate | 60 |
| abstract_inverted_index.probability | 67, 78 |
| abstract_inverted_index.sensitivity | 61, 83 |
| abstract_inverted_index.statistics, | 21 |
| abstract_inverted_index.statistics. | 12 |
| abstract_inverted_index.conclusions. | 118 |
| abstract_inverted_index.elicitations | 113 |
| abstract_inverted_index.investigated. | 54 |
| abstract_inverted_index.observations. | 34 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.41132265 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |