{"id":"https://openalex.org/W2149673698","doi":"https://doi.org/10.1109/jsac.2002.1003037","title":"Multicast-based loss inference with missing data","display_name":"Multicast-based loss inference with missing data","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2149673698","doi":"https://doi.org/10.1109/jsac.2002.1003037","mag":"2149673698"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2002.1003037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2002.1003037","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048558842","display_name":"Nick Duffield","orcid":"https://orcid.org/0000-0001-7211-1584"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"N.G. Duffield","raw_affiliation_strings":["AT and T Research Laboratories, Florham Park, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT and T Research Laboratories, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028734833","display_name":"John D. Horowitz","orcid":"https://orcid.org/0000-0001-6883-0703"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Horowitz","raw_affiliation_strings":["Department of Mathematics & Statistics, University of Massachusetts, Amherst, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics & Statistics, University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036683370","display_name":"Don Towsley","orcid":"https://orcid.org/0000-0002-7808-7375"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Towsley","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts, Amherst, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323752","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-7566-2995"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts, Amherst, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051633675","display_name":"Timur Friedman","orcid":"https://orcid.org/0000-0002-1653-3552"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Friedman","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts, Amherst, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048558842"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":3.0472,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.90733062,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"4","first_page":"700","last_page":"713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7967764139175415},{"id":"https://openalex.org/keywords/multicast","display_name":"Multicast","score":0.7537809610366821},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7422060966491699},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6420286297798157},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.6216106414794922},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5848453044891357},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.5590236783027649},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5003871917724609},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.47930851578712463},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.42429131269454956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41970857977867126},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3844733238220215},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.33595460653305054},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1973060667514801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17979004979133606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1746326982975006},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15409743785858154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13228031992912292},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.08919888734817505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967764139175415},{"id":"https://openalex.org/C32295351","wikidata":"https://www.wikidata.org/wiki/Q899288","display_name":"Multicast","level":2,"score":0.7537809610366821},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7422060966491699},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6420286297798157},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.6216106414794922},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5848453044891357},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.5590236783027649},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5003871917724609},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.47930851578712463},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.42429131269454956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41970857977867126},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3844733238220215},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.33595460653305054},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1973060667514801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17979004979133606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1746326982975006},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15409743785858154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13228031992912292},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.08919888734817505},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/jsac.2002.1003037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2002.1003037","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.169.5374","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.169.5374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-npa.lip6.fr/_publications/178-DHTWF_JSAC_2002.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.23.1641","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.1641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.att.com/~duffield/pubs/DHTWF01-missing.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.7.9016","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.9016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-net.cs.umass.edu/minc/DHTWF01-missing.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.719.9480","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.719.9480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nickduffield.net/download/papers/DHTWF01-missing.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.9.6049","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.6049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-net.cs.umass.edu/~weiwei/missing-final.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W132742350","https://openalex.org/W1596404044","https://openalex.org/W1881797649","https://openalex.org/W1948981515","https://openalex.org/W1974965594","https://openalex.org/W2019420194","https://openalex.org/W2044758663","https://openalex.org/W2049633694","https://openalex.org/W2053742104","https://openalex.org/W2099040451","https://openalex.org/W2117853077","https://openalex.org/W2122759946","https://openalex.org/W2149647489","https://openalex.org/W2151112997","https://openalex.org/W2162787146","https://openalex.org/W2163935672","https://openalex.org/W2166194445","https://openalex.org/W2167390870","https://openalex.org/W2246014144","https://openalex.org/W2326945647","https://openalex.org/W2480680997","https://openalex.org/W2503900403","https://openalex.org/W2979016480","https://openalex.org/W4239726656","https://openalex.org/W4254507381","https://openalex.org/W4301710896","https://openalex.org/W4302561155","https://openalex.org/W6605424375","https://openalex.org/W6635692511","https://openalex.org/W6674963336","https://openalex.org/W6768619573"],"related_works":["https://openalex.org/W1978153144","https://openalex.org/W102848802","https://openalex.org/W2982058819","https://openalex.org/W2130734797","https://openalex.org/W3176361882","https://openalex.org/W2122958477","https://openalex.org/W2025556230","https://openalex.org/W2150061385","https://openalex.org/W1544505002","https://openalex.org/W1607666867"],"abstract_inverted_index":{"Network":[0],"tomography":[1],"using":[2],"multicast":[3,21],"probes":[4,37],"enables":[5],"inference":[6],"of":[7,10,16,49,102,114,119,128,158],"loss":[8,18,28,60,124],"characteristics":[9],"internal":[11,27],"network":[12],"links":[13],"from":[14,39],"reports":[15,31,61],"end-to-end":[17],"seen":[19],"at":[20],"receivers.":[22,41],"We":[23,67,97,146],"develop":[24],"estimators":[25],"for":[26,65,92,150],"rates":[29,149],"when":[30],"are":[32],"not":[33],"available":[34],"on":[35],"all":[36,40],"or":[38],"This":[42],"problem":[43],"is":[44],"motivated":[45],"by":[46],"the":[47,77,88,89,93,103,120,129,133,151,155,159,164],"use":[48,68],"unreliable":[50],"transport":[51,56],"protocols,":[52],"such":[53],"as":[54],"reliable":[55],"protocol,":[57],"to":[58,62,82,87,109,132],"transmit":[59],"a":[63,69,99],"collector":[64],"inference.":[66],"maximum-likelihood":[70,134],"(ML)":[71],"approach":[72],"in":[73],"which":[74],"we":[75,116,162],"apply":[76],"expectation":[78],"maximization":[79],"(EM)":[80],"algorithm":[81,104],"provide":[83],"an":[84],"approximating":[85],"solution":[86],"ML":[90],"estimator":[91,135],"incomplete":[94],"data":[95],"problem.":[96],"present":[98],"concrete":[100],"realization":[101],"that":[105,140],"can":[106],"be":[107],"applied":[108],"measured":[110],"data.":[111],"For":[112],"classes":[113],"models,":[115],"establish":[117],"identifiability":[118],"probe":[121],"and":[122,126,154,166],"report":[123],"parameters,":[125],"convergence":[127,148,167],"EM":[130,152],"sequence":[131],"(MLE).":[136],"Numerical":[137],"results":[138],"suggest":[139],"these":[141],"properties":[142],"hold":[143],"more":[144],"generally.":[145],"derive":[147],"iterates,":[153],"estimation":[156],"error":[157],"MLE.":[160],"Finally,":[161],"evaluate":[163],"accuracy":[165],"rate":[168],"through":[169],"extensive":[170],"simulations.":[171]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}