{"id":"https://openalex.org/W3033680190","doi":"https://doi.org/10.1109/tit.2021.3084062","title":"Shrinkage Priors for Nonparametric Bayesian Prediction of Nonhomogeneous Poisson Processes","display_name":"Shrinkage Priors for Nonparametric Bayesian Prediction of Nonhomogeneous Poisson Processes","publication_year":2021,"publication_date":"2021-06-04","ids":{"openalex":"https://openalex.org/W3033680190","doi":"https://doi.org/10.1109/tit.2021.3084062","mag":"3033680190"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2021.3084062","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tit.2021.3084062","pdf_url":"https://ieeexplore.ieee.org/ielx7/18/9487479/09446132.pdf","source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/18/9487479/09446132.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086251945","display_name":"Fumiyasu Komaki","orcid":"https://orcid.org/0000-0001-8371-5092"},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Fumiyasu Komaki","raw_affiliation_strings":["International Research Center for Neurointelligence (IRCN), The University of Tokyo, Tokyo, Japan","RIKEN Center for Brain Science, Wako, Japan","The University of Tokyo, Tokyo, Japan","Univ.\\ of Tokyo"],"raw_orcid":"https://orcid.org/0000-0001-8371-5092","affiliations":[{"raw_affiliation_string":"International Research Center for Neurointelligence (IRCN), The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"RIKEN Center for Brain Science, Wako, Japan","institution_ids":["https://openalex.org/I2800939219"]},{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Univ.\\ of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086251945"],"corresponding_institution_ids":["https://openalex.org/I2800939219","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00585273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":"8","first_page":"5305","last_page":"5317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.9194431304931641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.622764527797699},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.554634690284729},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5321473479270935},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5039240717887878},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4848388433456421},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.48429054021835327},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.47754988074302673},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43548956513404846},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32782572507858276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3177255392074585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29700160026550293}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.9194431304931641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.622764527797699},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.554634690284729},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5321473479270935},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5039240717887878},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4848388433456421},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.48429054021835327},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.47754988074302673},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43548956513404846},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32782572507858276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3177255392074585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29700160026550293}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/tit.2021.3084062","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tit.2021.3084062","pdf_url":"https://ieeexplore.ieee.org/ielx7/18/9487479/09446132.pdf","source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2006.04052","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.04052","pdf_url":"https://arxiv.org/pdf/2006.04052","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3033680190","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2006.04052v2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:circle.library.ubc.ca:2429/75980","is_oa":false,"landing_page_url":"http://hdl.handle.net/2429/75980","pdf_url":null,"source":{"id":"https://openalex.org/S4377196297","display_name":"cIRcle (University of British Columbia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141945490","host_organization_name":"University of British Columbia","host_organization_lineage":["https://openalex.org/I141945490"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Moving Image"},{"id":"doi:10.48550/arxiv.2006.04052","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2006.04052","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.14288/1.0394323","is_oa":true,"landing_page_url":"https://doi.org/10.14288/1.0394323","pdf_url":null,"source":{"id":"https://openalex.org/S7407053062","display_name":"Open Collections","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Audiovisual"},{"id":"doi:10.5446/58006","is_oa":true,"landing_page_url":"https://doi.org/10.5446/58006","pdf_url":null,"source":{"id":"https://openalex.org/S7407052952","display_name":"TIB KMO / FLOWWORKS GmbH","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Audiovisual"}],"best_oa_location":{"id":"doi:10.1109/tit.2021.3084062","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tit.2021.3084062","pdf_url":"https://ieeexplore.ieee.org/ielx7/18/9487479/09446132.pdf","source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1622991726","display_name":null,"funder_award_id":"JP21dm0307009","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"},{"id":"https://openalex.org/G2176627036","display_name":null,"funder_award_id":"JP21dm0207001","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"},{"id":"https://openalex.org/G4044956738","display_name":null,"funder_award_id":"16H06533","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4543225726","display_name":null,"funder_award_id":"JPMJCR1763","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G7581136975","display_name":null,"funder_award_id":"16K21734","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8859814060","display_name":null,"funder_award_id":"16H06533","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320311405","display_name":"Japan Agency for Medical Research and Development","ror":"https://ror.org/004rtk039"},{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3033680190.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1586180564","https://openalex.org/W1983109794","https://openalex.org/W1987037087","https://openalex.org/W1988520084","https://openalex.org/W1999527430","https://openalex.org/W2000062250","https://openalex.org/W2013007030","https://openalex.org/W2014872752","https://openalex.org/W2019420194","https://openalex.org/W2023824831","https://openalex.org/W2025673173","https://openalex.org/W2032795766","https://openalex.org/W2052197092","https://openalex.org/W2054640142","https://openalex.org/W2056860084","https://openalex.org/W2059686185","https://openalex.org/W2065392216","https://openalex.org/W2076393478","https://openalex.org/W2095734615","https://openalex.org/W2131002462","https://openalex.org/W2169327261","https://openalex.org/W2492359674","https://openalex.org/W2492752217","https://openalex.org/W2742276804","https://openalex.org/W2943688268","https://openalex.org/W2952638235","https://openalex.org/W3002875179","https://openalex.org/W3011737600","https://openalex.org/W3103396039","https://openalex.org/W3104976883","https://openalex.org/W4232359393","https://openalex.org/W4239726656","https://openalex.org/W4247941414","https://openalex.org/W4388319756","https://openalex.org/W6600298901","https://openalex.org/W6663838358"],"related_works":["https://openalex.org/W3167502947","https://openalex.org/W2025955162","https://openalex.org/W3114190772","https://openalex.org/W2047456818","https://openalex.org/W1487671341","https://openalex.org/W2949454430","https://openalex.org/W2058651136","https://openalex.org/W2088598406","https://openalex.org/W2066120514","https://openalex.org/W3037210104","https://openalex.org/W1985450798","https://openalex.org/W2186258040","https://openalex.org/W2150149003","https://openalex.org/W3104976883","https://openalex.org/W2231848437","https://openalex.org/W2080335568","https://openalex.org/W1972842831","https://openalex.org/W3123641964","https://openalex.org/W1481277672","https://openalex.org/W2604471751"],"abstract_inverted_index":{"We":[0,16],"consider":[1],"nonparametric":[2,52],"Bayesian":[3,27,75,96],"estimation":[4,76],"and":[5,77],"prediction":[6,78],"for":[7,23,51,60,66,95],"nonhomogeneous":[8,67],"Poisson":[9,63,68],"process":[10,69],"models":[11,64,70],"with":[12,29,71],"unknown":[13],"intensity":[14,24],"functions.":[15,25],"propose":[17],"a":[18],"class":[19,35],"of":[20],"improper":[21,36,44,82],"priors":[22,37,45,83,101],"Nonparametric":[26],"inference":[28,97],"kernel":[30],"mixture":[31],"based":[32,79,98],"on":[33,80,99],"the":[34,81,90,100],"is":[38],"shown":[39,85],"to":[40,58,86],"be":[41,87],"useful,":[42],"although":[43],"have":[46],"not":[47],"been":[48],"widely":[49],"used":[50],"Bayes":[53],"problems.":[54],"Several":[55],"theorems":[56],"corresponding":[57],"those":[59],"finite-dimensional":[61],"independent":[62],"hold":[65],"infinite-dimensional":[72],"parameter":[73],"spaces.":[74],"are":[84,102],"admissible":[88],"under":[89],"Kullback-Leibler":[91],"loss.":[92],"Numerical":[93],"methods":[94],"investigated.":[103]},"counts_by_year":[],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
