{"id":"https://openalex.org/W2598628310","doi":"https://doi.org/10.1142/s2425038416300135","title":"Selected topics in statistical computing","display_name":"Selected topics in statistical computing","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2598628310","doi":"https://doi.org/10.1142/s2425038416300135","mag":"2598628310"},"language":"en","primary_location":{"id":"doi:10.1142/s2425038416300135","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2425038416300135","pdf_url":null,"source":{"id":"https://openalex.org/S4210216749","display_name":"Encyclopedia with Semantic Computing and Robotic Intelligence","issn_l":"2529-7376","issn":["2529-7376","2529-7392"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Encyclopedia with Semantic Computing and Robotic Intelligence","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/A5075159400","display_name":"Suneel Babu Chatla","orcid":"https://orcid.org/0000-0003-2135-2622"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Suneel Babu Chatla","raw_affiliation_strings":["Institute of Service Science, National Tsing Hua University, Hsinchu 30013, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Service Science, National Tsing Hua University, Hsinchu 30013, Taiwan, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016200959","display_name":"Chun\u2010Houh Chen","orcid":"https://orcid.org/0000-0003-0899-7477"},"institutions":[{"id":"https://openalex.org/I4210141710","display_name":"Institute of Statistical Science, Academia Sinica","ror":"https://ror.org/044gv5910","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210141710","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Houh Chen","raw_affiliation_strings":["Institute of Statistical Science, Academia Sinica, Taipei 11529, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistical Science, Academia Sinica, Taipei 11529, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210141710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018683729","display_name":"Galit Shmueli","orcid":"https://orcid.org/0000-0002-0820-0301"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Galit Shmueli","raw_affiliation_strings":["Institute of Service Science, National Tsing Hua University, Hsinchu 30013, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Service Science, National Tsing Hua University, Hsinchu 30013, Taiwan, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075159400"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.2395,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57022713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"01","issue":"01","first_page":"1630013","last_page":"1630013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9976999759674072,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9976999759674072,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9933000206947327,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.989799976348877,"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/computer-science","display_name":"Computer science","score":0.7445496916770935},{"id":"https://openalex.org/keywords/computational-statistics","display_name":"Computational statistics","score":0.7271843552589417},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6869872212409973},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5369545817375183},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4873879551887512},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48408591747283936},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45405250787734985},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.45058107376098633},{"id":"https://openalex.org/keywords/kernel-smoother","display_name":"Kernel smoother","score":0.4186381995677948},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35838353633880615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33035409450531006},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3253735899925232},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17729255557060242},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16901639103889465},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08992570638656616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7445496916770935},{"id":"https://openalex.org/C176222170","wikidata":"https://www.wikidata.org/wiki/Q5157340","display_name":"Computational statistics","level":2,"score":0.7271843552589417},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6869872212409973},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5369545817375183},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4873879551887512},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48408591747283936},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45405250787734985},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.45058107376098633},{"id":"https://openalex.org/C27406209","wikidata":"https://www.wikidata.org/wiki/Q6394203","display_name":"Kernel smoother","level":5,"score":0.4186381995677948},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35838353633880615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33035409450531006},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3253735899925232},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17729255557060242},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16901639103889465},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08992570638656616},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s2425038416300135","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2425038416300135","pdf_url":null,"source":{"id":"https://openalex.org/S4210216749","display_name":"Encyclopedia with Semantic Computing and Robotic Intelligence","issn_l":"2529-7376","issn":["2529-7376","2529-7392"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Encyclopedia with Semantic Computing and Robotic Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W148455047","https://openalex.org/W1534230820","https://openalex.org/W1548078876","https://openalex.org/W1549245336","https://openalex.org/W1582614941","https://openalex.org/W1603041026","https://openalex.org/W1965999112","https://openalex.org/W1971713783","https://openalex.org/W1975285668","https://openalex.org/W1993631132","https://openalex.org/W1995945562","https://openalex.org/W1998378660","https://openalex.org/W2014268383","https://openalex.org/W2017488093","https://openalex.org/W2017899835","https://openalex.org/W2020999234","https://openalex.org/W2024081693","https://openalex.org/W2024602863","https://openalex.org/W2027244596","https://openalex.org/W2028985950","https://openalex.org/W2037269069","https://openalex.org/W2050100385","https://openalex.org/W2050297026","https://openalex.org/W2052424275","https://openalex.org/W2056760934","https://openalex.org/W2057032881","https://openalex.org/W2058772015","https://openalex.org/W2059507684","https://openalex.org/W2063667201","https://openalex.org/W2065274576","https://openalex.org/W2065540158","https://openalex.org/W2079184994","https://openalex.org/W2082544286","https://openalex.org/W2091380582","https://openalex.org/W2097581696","https://openalex.org/W2102862543","https://openalex.org/W2108207895","https://openalex.org/W2108447811","https://openalex.org/W2110829452","https://openalex.org/W2112081648","https://openalex.org/W2116718775","https://openalex.org/W2117897510","https://openalex.org/W2118020555","https://openalex.org/W2124181495","https://openalex.org/W2129525927","https://openalex.org/W2135497302","https://openalex.org/W2136796925","https://openalex.org/W2137645797","https://openalex.org/W2148534890","https://openalex.org/W2162430620","https://openalex.org/W2163738067","https://openalex.org/W2171481228","https://openalex.org/W2172525224","https://openalex.org/W2797843048","https://openalex.org/W3000332379","https://openalex.org/W4206419526","https://openalex.org/W4229786050","https://openalex.org/W4233014035","https://openalex.org/W4235051201","https://openalex.org/W4241693338","https://openalex.org/W4244777963","https://openalex.org/W4249256225","https://openalex.org/W4249303080","https://openalex.org/W4251644969","https://openalex.org/W4289258898","https://openalex.org/W4295134715","https://openalex.org/W4298870098","https://openalex.org/W4299899089"],"related_works":["https://openalex.org/W2552416899","https://openalex.org/W2920855166","https://openalex.org/W4205267905","https://openalex.org/W4206381862","https://openalex.org/W3142731338","https://openalex.org/W3149448578","https://openalex.org/W1833023352","https://openalex.org/W1602884087","https://openalex.org/W2740619373","https://openalex.org/W2764059675"],"abstract_inverted_index":{"The":[0],"field":[1,59],"of":[2,24,43,60],"computational":[3,61],"statistics":[4,62],"refers":[5],"to":[6,16,32,74],"statistical":[7],"methods":[8,26,46],"or":[9],"tools":[10],"that":[11],"are":[12],"computationally":[13],"intensive.":[14],"Due":[15],"the":[17,44,58],"recent":[18],"advances":[19],"in":[20],"computing":[21],"power,":[22],"some":[23],"these":[25],"have":[27],"become":[28],"prominent":[29],"and":[30,54],"central":[31],"modern":[33],"data":[34],"analysis.":[35],"In":[36],"this":[37,67],"paper,":[38],"we":[39],"focus":[40],"on":[41],"several":[42],"main":[45],"including":[47],"density":[48],"estimation,":[49],"kernel":[50],"smoothing,":[51],"smoothing":[52],"splines,":[53],"additive":[55],"models.":[56],"While":[57],"includes":[63],"many":[64],"more":[65],"methods,":[66],"paper":[68],"serves":[69],"as":[70],"a":[71],"brief":[72],"introduction":[73],"selected":[75],"popular":[76],"topics.":[77]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}