{"id":"https://openalex.org/W1663014229","doi":"https://doi.org/10.48550/arxiv.0712.0189","title":"Summarization and Classification of Non-Poisson Point Processes","display_name":"Summarization and Classification of Non-Poisson Point Processes","publication_year":2007,"publication_date":"2007-12-02","ids":{"openalex":"https://openalex.org/W1663014229","doi":"https://doi.org/10.48550/arxiv.0712.0189","mag":"1663014229"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:0712.0189","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/0712.0189","pdf_url":"https://arxiv.org/pdf/0712.0189","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/0712.0189","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111996694","display_name":"Jeffrey D. Picka","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Picka, Jeffrey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Deng, Mingxia","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Mingxia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T11911","display_name":"Spatial and Panel Data Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13500","display_name":"Probability and Statistical Research","score":9.999999747378752e-05,"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/statistical-learning","display_name":"statistical learning","score":0.6480000019073486},{"id":"https://openalex.org/keywords/model-fitting","display_name":"model fitting","score":0.5600000023841858},{"id":"https://openalex.org/keywords/classification-rules","display_name":"classification rules","score":0.6190000176429749},{"id":"https://openalex.org/keywords/descriptive-statistics","display_name":"descriptive statistics","score":0.6240000128746033},{"id":"https://openalex.org/keywords/laws-of-physics","display_name":"physical laws","score":0.3400000035762787}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8220151662826538},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.7950836420059204},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.7769518494606018},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.678798496723175},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5985040068626404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5622511506080627},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.5014231204986572},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.46374258399009705},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4046512842178345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3737885355949402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3626830577850342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.356749951839447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3285088539123535},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.16779837012290955},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:0712.0189","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/0712.0189","pdf_url":"https://arxiv.org/pdf/0712.0189","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"pmh:oai:CiteSeerX.psu:10.1.1.771.308","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.771.308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/0712.0189.pdf","raw_type":"text"},{"id":"doi:10.48550/arxiv.0712.0189","doi":"https://doi.org/10.48550/arxiv.0712.0189","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.0712.0189","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:0712.0189","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/0712.0189","pdf_url":"https://arxiv.org/pdf/0712.0189","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W114923250","https://openalex.org/W1480376833","https://openalex.org/W1515707356","https://openalex.org/W1519516901","https://openalex.org/W1578430072","https://openalex.org/W1818937361","https://openalex.org/W1884442566","https://openalex.org/W1967715063","https://openalex.org/W2024362988","https://openalex.org/W2036732006","https://openalex.org/W2037590223","https://openalex.org/W2041902442","https://openalex.org/W2053004324","https://openalex.org/W2071556578","https://openalex.org/W2072092158","https://openalex.org/W2092924973","https://openalex.org/W2098644398","https://openalex.org/W2118166339","https://openalex.org/W2134693093","https://openalex.org/W2143022286","https://openalex.org/W2322042916","https://openalex.org/W2326455002","https://openalex.org/W2504619654","https://openalex.org/W2573715514","https://openalex.org/W2592623802"],"related_works":["https://openalex.org/W2955960884","https://openalex.org/W4251149239","https://openalex.org/W4384934711","https://openalex.org/W2952646080","https://openalex.org/W2242808935","https://openalex.org/W7164864028","https://openalex.org/W7039571462","https://openalex.org/W2415933964","https://openalex.org/W2151783168","https://openalex.org/W2963148415"],"abstract_inverted_index":{"Fitting":[0],"models":[1,13],"for":[2,14],"non-Poisson":[3],"point":[4],"processes":[5],"is":[6,33,77],"complicated":[7],"by":[8],"the":[9,17],"lack":[10],"of":[11,16,23,38,51,61,73],"tractable":[12],"much":[15,58],"data.":[18,87],"By":[19],"using":[20],"large":[21],"samples":[22],"independent":[24],"and":[25,29,69],"identically":[26],"distributed":[27],"realizations":[28,50],"statistical":[30],"learning,":[31],"it":[32],"possible":[34],"to":[35,85],"identify":[36,48],"absence":[37],"fit":[39,86],"through":[40],"finding":[41],"a":[42,57,70],"classification":[43],"rule":[44],"that":[45],"can":[46],"efficiently":[47],"single":[49],"each":[52],"type.":[53],"The":[54],"method":[55],"requires":[56],"wider":[59],"range":[60],"descriptive":[62],"statistics":[63],"than":[64],"are":[65,83],"currently":[66],"in":[67],"use,":[68],"new":[71],"concept":[72],"model":[74],"fitting":[75],"which":[76],"derive":[78],"from":[79],"how":[80],"physical":[81],"laws":[82],"judged":[84]},"counts_by_year":[],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2016-06-24T00:00:00"}