{"id":"https://openalex.org/W2900162369","doi":"https://doi.org/10.1109/tvcg.2018.2880455","title":"Survey of Markov Chain Monte Carlo Methods in Light Transport Simulation","display_name":"Survey of Markov Chain Monte Carlo Methods in Light Transport Simulation","publication_year":2018,"publication_date":"2018-11-09","ids":{"openalex":"https://openalex.org/W2900162369","doi":"https://doi.org/10.1109/tvcg.2018.2880455","mag":"2900162369","pmid":"https://pubmed.ncbi.nlm.nih.gov/30418911"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2018.2880455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2880455","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5000990238","display_name":"Martin \u0160ik","orcid":"https://orcid.org/0000-0003-2088-2330"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Martin Sik","raw_affiliation_strings":["Charles University, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063006828","display_name":"Jaroslav K\u0159iv\u00e1nek","orcid":"https://orcid.org/0000-0002-8780-1702"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jaroslav Krivanek","raw_affiliation_strings":["Charles University, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000990238"],"corresponding_institution_ids":["https://openalex.org/I21250087"],"apc_list":null,"apc_paid":null,"fwci":4.5041,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95738121,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"26","issue":"4","first_page":"1821","last_page":"1840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9846000075340271,"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"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9846000075340271,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9350000023841858,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.9483171701431274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7682628631591797},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5752387642860413},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.5159047842025757},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4565202593803406},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4232296347618103},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.27007824182510376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26018911600112915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24122977256774902},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14414650201797485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09822514653205872},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07642433047294617}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.9483171701431274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682628631591797},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5752387642860413},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5159047842025757},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4565202593803406},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4232296347618103},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.27007824182510376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26018911600112915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24122977256774902},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14414650201797485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09822514653205872},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07642433047294617},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2018.2880455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2880455","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:30418911","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30418911","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":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3635868326","display_name":null,"funder_award_id":"16-18964S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W621546036","https://openalex.org/W1486787228","https://openalex.org/W1534875171","https://openalex.org/W1535681442","https://openalex.org/W1552672157","https://openalex.org/W1666661718","https://openalex.org/W1797096580","https://openalex.org/W1966047390","https://openalex.org/W1966671941","https://openalex.org/W1967058818","https://openalex.org/W1986743298","https://openalex.org/W1986878934","https://openalex.org/W1995780830","https://openalex.org/W2001662666","https://openalex.org/W2008693968","https://openalex.org/W2008870867","https://openalex.org/W2013145865","https://openalex.org/W2018275460","https://openalex.org/W2021131939","https://openalex.org/W2038630728","https://openalex.org/W2041215343","https://openalex.org/W2046872971","https://openalex.org/W2054004257","https://openalex.org/W2056760934","https://openalex.org/W2059069038","https://openalex.org/W2059448777","https://openalex.org/W2070604790","https://openalex.org/W2073412813","https://openalex.org/W2083021931","https://openalex.org/W2089656010","https://openalex.org/W2090346540","https://openalex.org/W2094199382","https://openalex.org/W2095766270","https://openalex.org/W2098077797","https://openalex.org/W2113492357","https://openalex.org/W2115931395","https://openalex.org/W2131413095","https://openalex.org/W2135623116","https://openalex.org/W2135973421","https://openalex.org/W2136796925","https://openalex.org/W2138309709","https://openalex.org/W2142380402","https://openalex.org/W2146960149","https://openalex.org/W2151035893","https://openalex.org/W2151047098","https://openalex.org/W2153831894","https://openalex.org/W2154553727","https://openalex.org/W2158596117","https://openalex.org/W2162340617","https://openalex.org/W2170171286","https://openalex.org/W2232528854","https://openalex.org/W2285547894","https://openalex.org/W2463525559","https://openalex.org/W2494349947","https://openalex.org/W2556575547","https://openalex.org/W2566276019","https://openalex.org/W2581705487","https://openalex.org/W2609525154","https://openalex.org/W2737551591","https://openalex.org/W2886995154","https://openalex.org/W2912424718","https://openalex.org/W2997095758","https://openalex.org/W3098919389","https://openalex.org/W3121631294","https://openalex.org/W3194481913","https://openalex.org/W4229914515","https://openalex.org/W4302097244","https://openalex.org/W6629281901","https://openalex.org/W6633254631","https://openalex.org/W6638282901","https://openalex.org/W6682790217","https://openalex.org/W6689587388","https://openalex.org/W6696211509","https://openalex.org/W6731600098"],"related_works":["https://openalex.org/W2948895238","https://openalex.org/W2047834101","https://openalex.org/W2040790268","https://openalex.org/W2763788391","https://openalex.org/W2389529561","https://openalex.org/W2102985718","https://openalex.org/W2590846572","https://openalex.org/W2888194917","https://openalex.org/W4286894259","https://openalex.org/W3208996140"],"abstract_inverted_index":{"Two":[0],"decades":[1],"have":[2,25],"passed":[3],"since":[4,28],"the":[5,40,89,92,106,111],"introduction":[6,123],"of":[7,42,47,58,95],"Markov":[8],"chain":[9],"Monte":[10],"Carlo":[11],"(MCMC)":[12],"into":[13],"light":[14,62],"transport":[15,63],"simulation":[16],"by":[17,73],"Veach":[18],"and":[19,21,76,84,97,127],"Guibas,":[20],"numerous":[22],"follow-up":[23],"works":[24],"been":[26],"published":[27],"then.":[29],"However,":[30],"up":[31],"until":[32],"now":[33],"no":[34],"survey":[35,57],"has":[36],"attempted":[37],"to":[38,52,124],"cover":[39],"majority":[41],"these":[43],"methods.":[44],"The":[45,65],"aim":[46],"this":[48,69],"paper":[49,70,112],"is":[50],"therefore":[51],"offer":[53],"a":[54,131],"first":[55],"comprehensive":[56],"MCMC":[59,96,118,126],"algorithms":[60],"for":[61,114],"simulation.":[64],"methods":[66,90],"presented":[67],"in":[68,105],"are":[71],"categorized":[72],"their":[74,82],"objectives":[75],"properties,":[77],"while":[78],"we":[79,120],"point":[80],"out":[81],"strengths":[83],"weaknesses.":[85],"We":[86],"discuss":[87],"how":[88,98],"handle":[91],"main":[93],"issues":[94],"they":[99],"could":[100],"be":[101],"combined":[102],"or":[103],"improved":[104],"near":[107],"future.":[108],"To":[109],"make":[110],"suitable":[113],"readers":[115],"unacquainted":[116],"with":[117],"methods,":[119],"include":[121],"an":[122],"general":[125],"its":[128],"demonstration":[129],"on":[130],"simple":[132],"example.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}