{"id":"https://openalex.org/W2975014433","doi":"https://doi.org/10.1109/isit.2019.8849574","title":"Context Block Estimation for Random Fields","display_name":"Context Block Estimation for Random Fields","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2975014433","doi":"https://doi.org/10.1109/isit.2019.8849574","mag":"2975014433"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2019.8849574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-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/A5068122599","display_name":"Zsolt Talata","orcid":null},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zsolt Talata","raw_affiliation_strings":["Department of Mathematics, University of Kansas, Lawrence, Kansas, 66045-7594","Department of Mathematics, University of Kansas, Lawrence, Kansas"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Kansas, Lawrence, Kansas, 66045-7594","institution_ids":["https://openalex.org/I146416000"]},{"raw_affiliation_string":"Department of Mathematics, University of Kansas, Lawrence, Kansas","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068122599"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11219392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9663000106811523,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9663000106811523,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9621000289916992,"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/T10320","display_name":"Neural Networks and Applications","score":0.9599999785423279,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7116039395332336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6337572336196899},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.6059898734092712},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.5470009446144104},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.4871830344200134},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4488643407821655},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.43819746375083923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3986992835998535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3672095537185669},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.36676472425460815},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3441274166107178}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7116039395332336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6337572336196899},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.6059898734092712},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.5470009446144104},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.4871830344200134},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4488643407821655},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.43819746375083923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3986992835998535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3672095537185669},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.36676472425460815},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3441274166107178},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2019.8849574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W28766783","https://openalex.org/W131003407","https://openalex.org/W255181480","https://openalex.org/W1604521381","https://openalex.org/W1968908999","https://openalex.org/W1989222601","https://openalex.org/W2020999234","https://openalex.org/W2030141447","https://openalex.org/W2053807426","https://openalex.org/W2103396489","https://openalex.org/W2105342805","https://openalex.org/W2110232401","https://openalex.org/W2112673342","https://openalex.org/W2114220616","https://openalex.org/W2132353975","https://openalex.org/W2496675188","https://openalex.org/W2764126110","https://openalex.org/W4205240937"],"related_works":["https://openalex.org/W2022544890","https://openalex.org/W2394097730","https://openalex.org/W2475378634","https://openalex.org/W4312353617","https://openalex.org/W4287880334","https://openalex.org/W2113405914","https://openalex.org/W2260963831","https://openalex.org/W4235249401","https://openalex.org/W2331305369","https://openalex.org/W2172414162"],"abstract_inverted_index":{"For":[0,37],"random":[1,41,84,94],"fields":[2,42],"on":[3,121],"the":[4,12,16,24,28,31,43,49,52,56,59,78,93,122,125,135],"d-dimensional":[5],"integer":[6],"lattice":[7],"with":[8,48],"finite":[9,99],"state":[10],"space,":[11],"basic":[13,39,44,63],"neighborhood":[14,40,45],"is":[15,101,109,116,128],"smallest":[17],"region":[18],"around":[19],"a":[20,83,87,89,98,119],"site":[21,29],"that":[22,130],"determines":[23],"conditional":[25],"distribution":[26],"at":[27,33,51],"given":[30],"values":[32,50,60],"all":[34],"other":[35],"sites.":[36],"variable":[38],"may":[46,72],"vary":[47],"surrounding":[53],"sites,":[54],"and":[55,118],"sets":[57],"of":[58,77,82,92,124,134],"in":[61,97],"these":[62],"neighborhoods":[64],"are":[65],"called":[66],"context":[67,70,79],"blocks.":[68],"The":[69,103],"blocks":[71],"be":[73],"infinite.":[74],"Statistical":[75],"estimation":[76,126],"block":[80],"system":[81],"field":[85,95],"from":[86],"sample,":[88],"single":[90],"realization":[91],"observed":[96],"region,":[100],"addressed.":[102],"Optimal":[104],"Likelihood":[105],"Ratio":[106],"(OLR)":[107],"estimator":[108],"introduced.":[110],"Its":[111],"nearly":[112],"linear":[113],"computation":[114],"complexity":[115],"shown":[117],"bound":[120],"probability":[123],"error":[127],"proved":[129],"implies":[131],"strong":[132],"consistency":[133],"estimator.":[136]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
