{"id":"https://openalex.org/W3007526251","doi":"https://doi.org/10.1137/20m1365715","title":"Spectral Neighbor Joining for Reconstruction of Latent Tree Models","display_name":"Spectral Neighbor Joining for Reconstruction of Latent Tree Models","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3007526251","doi":"https://doi.org/10.1137/20m1365715","mag":"3007526251","pmid":"https://pubmed.ncbi.nlm.nih.gov/34124606"},"language":"en","primary_location":{"id":"doi:10.1137/20m1365715","is_oa":true,"landing_page_url":"http://doi.org/10.1137/20m1365715","pdf_url":null,"source":{"id":"https://openalex.org/S4210229561","display_name":"SIAM Journal on Mathematics of Data Science","issn_l":"2577-0187","issn":["2577-0187"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Mathematics of Data Science","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://doi.org/10.1137/20m1365715","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102737103","display_name":"Ariel Jaffe","orcid":"https://orcid.org/0000-0001-7637-7128"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]},{"id":"https://openalex.org/I4210131439","display_name":"Applied Mathematics (United States)","ror":"https://ror.org/03seew607","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131439"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ariel Jaffe","raw_affiliation_strings":["Program in Applied Mathematics, Yale University, New Haven, CT 06511"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Program in Applied Mathematics, Yale University, New Haven, CT 06511","institution_ids":["https://openalex.org/I32971472","https://openalex.org/I4210131439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050837077","display_name":"Noah Amsel","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]},{"id":"https://openalex.org/I4210131439","display_name":"Applied Mathematics (United States)","ror":"https://ror.org/03seew607","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131439"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah Amsel","raw_affiliation_strings":["Program in Applied Mathematics, Yale University, New Haven, CT 06511"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Program in Applied Mathematics, Yale University, New Haven, CT 06511","institution_ids":["https://openalex.org/I32971472","https://openalex.org/I4210131439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051176693","display_name":"Yariv Aizenbud","orcid":"https://orcid.org/0000-0001-5612-4465"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]},{"id":"https://openalex.org/I4210131439","display_name":"Applied Mathematics (United States)","ror":"https://ror.org/03seew607","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131439"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yariv Aizenbud","raw_affiliation_strings":["Program in Applied Mathematics, Yale University, New Haven, CT 06511"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Program in Applied Mathematics, Yale University, New Haven, CT 06511","institution_ids":["https://openalex.org/I32971472","https://openalex.org/I4210131439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034942163","display_name":"Boaz Nadler","orcid":"https://orcid.org/0000-0002-9777-4576"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Boaz Nadler","raw_affiliation_strings":["Department of Computer Science, Weizmann Institute of Science, Rehovot, 76100, Israel","Department of Computer Science, Weizmann Institute of Science, Rehovot 76100, Israel#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-9777-4576","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Weizmann Institute of Science, Rehovot, 76100, Israel","institution_ids":["https://openalex.org/I53964585"]},{"raw_affiliation_string":"Department of Computer Science, Weizmann Institute of Science, Rehovot 76100, Israel#TAB#","institution_ids":["https://openalex.org/I53964585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102825135","display_name":"Joseph T. Chang","orcid":"https://orcid.org/0009-0009-0944-3338"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph T. Chang","raw_affiliation_strings":["Department of Statistics, Yale University, New Haven, CT 06520, USA","Department of Statistics, Yale University New Haven, CT 06520, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Yale University, New Haven, CT 06520, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Statistics, Yale University New Haven, CT 06520, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020473435","display_name":"Yuval Kluger","orcid":"https://orcid.org/0000-0002-3035-071X"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]},{"id":"https://openalex.org/I4210131439","display_name":"Applied Mathematics (United States)","ror":"https://ror.org/03seew607","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131439"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuval Kluger","raw_affiliation_strings":["Department of Pathology, Yale University New Haven, CT 06511","Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511","Program in Applied Mathematics, Yale University, New Haven, CT 06511"],"raw_orcid":"https://orcid.org/0000-0002-3035-071X","affiliations":[{"raw_affiliation_string":"Department of Pathology, Yale University New Haven, CT 06511","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Program in Applied Mathematics, Yale University, New Haven, CT 06511","institution_ids":["https://openalex.org/I32971472","https://openalex.org/I4210131439"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102737103"],"corresponding_institution_ids":["https://openalex.org/I32971472","https://openalex.org/I4210131439"],"apc_list":null,"apc_paid":null,"fwci":0.0813,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41490646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":"1","first_page":"113","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11354","display_name":"Evolution and Paleontology Studies","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10012","display_name":"Genetic diversity and population structure","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.7129800319671631},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6449205279350281},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5245532989501953},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.5235005021095276},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.49659019708633423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4833897650241852},{"id":"https://openalex.org/keywords/interval-tree","display_name":"Interval tree","score":0.46714138984680176},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4631378650665283},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4566896855831146},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43342119455337524},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.38226643204689026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35070884227752686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.323600709438324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31133896112442017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21447893977165222}],"concepts":[{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.7129800319671631},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6449205279350281},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5245532989501953},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.5235005021095276},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.49659019708633423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4833897650241852},{"id":"https://openalex.org/C84927040","wikidata":"https://www.wikidata.org/wiki/Q6057306","display_name":"Interval tree","level":4,"score":0.46714138984680176},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4631378650665283},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4566896855831146},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43342119455337524},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.38226643204689026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35070884227752686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.323600709438324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31133896112442017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21447893977165222},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1137/20m1365715","is_oa":true,"landing_page_url":"http://doi.org/10.1137/20m1365715","pdf_url":null,"source":{"id":"https://openalex.org/S4210229561","display_name":"SIAM Journal on Mathematics of Data Science","issn_l":"2577-0187","issn":["2577-0187"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Mathematics of Data Science","raw_type":"journal-article"},{"id":"pmid:34124606","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34124606","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM journal on mathematics of data science","raw_type":null},{"id":"pmh:oai:arXiv.org:2002.12547","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.12547","pdf_url":"https://arxiv.org/pdf/2002.12547","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":"","raw_type":"text"},{"id":"mag:3007526251","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2002.12547.pdf","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:pubmedcentral.nih.gov:8194222","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8194222","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIAM J Math Data Sci","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2002.12547","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.12547","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"}],"best_oa_location":{"id":"doi:10.1137/20m1365715","is_oa":true,"landing_page_url":"http://doi.org/10.1137/20m1365715","pdf_url":null,"source":{"id":"https://openalex.org/S4210229561","display_name":"SIAM Journal on Mathematics of Data Science","issn_l":"2577-0187","issn":["2577-0187"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Mathematics of Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1913930012","display_name":null,"funder_award_id":"UM1DA051410","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G233314128","display_name":null,"funder_award_id":"2P50CA121974","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6053781650","display_name":null,"funder_award_id":"R01GM131642","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7742415388","display_name":null,"funder_award_id":"R01HG008383","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8046194620","display_name":null,"funder_award_id":"R61DA047037","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W160062981","https://openalex.org/W240043582","https://openalex.org/W1525240758","https://openalex.org/W1525734744","https://openalex.org/W1968194929","https://openalex.org/W1973135832","https://openalex.org/W1991137221","https://openalex.org/W1995615099","https://openalex.org/W2038370559","https://openalex.org/W2038876634","https://openalex.org/W2039087339","https://openalex.org/W2056568233","https://openalex.org/W2057853309","https://openalex.org/W2061152302","https://openalex.org/W2068431518","https://openalex.org/W2071465766","https://openalex.org/W2078288199","https://openalex.org/W2090995971","https://openalex.org/W2102424972","https://openalex.org/W2103546861","https://openalex.org/W2108911240","https://openalex.org/W2113165053","https://openalex.org/W2115415644","https://openalex.org/W2120653759","https://openalex.org/W2121677860","https://openalex.org/W2123891761","https://openalex.org/W2126955332","https://openalex.org/W2134581361","https://openalex.org/W2139736670","https://openalex.org/W2147536240","https://openalex.org/W2150631662","https://openalex.org/W2150783480","https://openalex.org/W2152113565","https://openalex.org/W2152580193","https://openalex.org/W2163892779","https://openalex.org/W2164557791","https://openalex.org/W2164997158","https://openalex.org/W2165256603","https://openalex.org/W2168696662","https://openalex.org/W2177489099","https://openalex.org/W2229908198","https://openalex.org/W2342064623","https://openalex.org/W2791904732","https://openalex.org/W2963717225","https://openalex.org/W3162014451","https://openalex.org/W4254848882"],"related_works":["https://openalex.org/W154144877","https://openalex.org/W1993861112","https://openalex.org/W1596078534","https://openalex.org/W2176045956","https://openalex.org/W1528672279","https://openalex.org/W2625323640","https://openalex.org/W1990323182","https://openalex.org/W2413827959","https://openalex.org/W3201806487","https://openalex.org/W3212762113","https://openalex.org/W2183085093","https://openalex.org/W1973652194","https://openalex.org/W581438792","https://openalex.org/W2090729411","https://openalex.org/W1965750261","https://openalex.org/W2186031797","https://openalex.org/W2038168748","https://openalex.org/W3145755864","https://openalex.org/W2012625662","https://openalex.org/W1570607846"],"abstract_inverted_index":{"A":[0],"common":[1],"assumption":[2],"in":[3,168],"multiple":[4],"scientific":[5],"applications":[6],"is":[7,26,60,119],"that":[8,91,117,167],"the":[9,29,32,48,52,55,63,81,145,150,157],"distribution":[10],"of":[11,35,38,44,47,54,83,95,100,108,112,141,152,187],"observed":[12,39,101,113],"data":[13],"can":[14],"be":[15],"modeled":[16],"by":[17],"a":[18,36,42,57,76,89,93,105,123,139,184],"latent":[19,84],"tree":[20,30,65,85,128,158],"graphical":[21,86],"model.":[22],"An":[23],"important":[24],"example":[25],"phylogenetics,":[27],"where":[28],"models":[31],"evolutionary":[33],"lineages":[34],"set":[37,43],"organisms.":[40],"Given":[41,88],"independent":[45],"realizations":[46],"random":[49],"variables":[50],"at":[51],"leaves":[53,188],"tree,":[56],"key":[58],"challenge":[59],"to":[61,79,155,170,179],"infer":[62],"underlying":[64],"topology.":[66],"In":[67],"this":[68,136],"work":[69],"we":[70,148],"develop":[71],"Spectral":[72],"Neighbor":[73],"Joining":[74],"(SNJ),":[75],"novel":[77],"method":[78],"recover":[80,156,181],"structure":[82],"models.":[87],"matrix":[90],"contains":[92],"measure":[94,107,142],"similarity":[96,133,146],"between":[97,110],"all":[98],"pairs":[99],"variables,":[102],"SNJ":[103,118,175],"computes":[104],"spectral":[106],"cohesion":[109],"groups":[111],"variables.":[114],"We":[115,162],"prove":[116],"consistent,":[120],"and":[121],"derive":[122],"sufficient":[124],"condition":[125,137],"for":[126],"correct":[127],"recovery":[129],"from":[130],"an":[131],"estimated":[132],"matrix.":[134],"Combining":[135],"with":[138,159,183],"concentration":[140],"result":[143],"on":[144],"matrix,":[147],"bound":[149],"number":[151,186],"samples":[153,178],"required":[154],"high":[160],"probability.":[161],"illustrate":[163],"via":[164],"extensive":[165],"simulations":[166],"comparison":[169],"several":[171],"other":[172],"reconstruction":[173],"methods,":[174],"requires":[176],"fewer":[177],"accurately":[180],"trees":[182],"large":[185],"or":[189],"long":[190],"edges.":[191]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}