{"id":"https://openalex.org/W4404389101","doi":"https://doi.org/10.1080/03610918.2024.2427224","title":"A class of mixed thinning threshold integer-valued autoregressive model for the COVID-19 data","display_name":"A class of mixed thinning threshold integer-valued autoregressive model for the COVID-19 data","publication_year":2024,"publication_date":"2024-11-14","ids":{"openalex":"https://openalex.org/W4404389101","doi":"https://doi.org/10.1080/03610918.2024.2427224"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2024.2427224","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2427224","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5101707850","display_name":"Jianlong Peng","orcid":"https://orcid.org/0000-0001-8909-8056"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Peng","raw_affiliation_strings":["School of Mathematics, Taiyuan University of Technology","School of Mathematics, Taiyuan University of Technology, Taiyuan, PR China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Taiyuan University of Technology","institution_ids":["https://openalex.org/I9086337"]},{"raw_affiliation_string":"School of Mathematics, Taiyuan University of Technology, Taiyuan, PR China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350243","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-8282-4884"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["School of Mathematics, Taiyuan University of Technology","School of Mathematics, Taiyuan University of Technology, Taiyuan, PR China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Taiyuan University of Technology","institution_ids":["https://openalex.org/I9086337"]},{"raw_affiliation_string":"School of Mathematics, Taiyuan University of Technology, Taiyuan, PR China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101485107","display_name":"Xiufang Liu","orcid":"https://orcid.org/0000-0002-1385-1619"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiufang Liu","raw_affiliation_strings":["School of Mathematics, Taiyuan University of Technology","School of Mathematics, Taiyuan University of Technology, Taiyuan, PR China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Taiyuan University of Technology","institution_ids":["https://openalex.org/I9086337"]},{"raw_affiliation_string":"School of Mathematics, Taiyuan University of Technology, Taiyuan, PR China","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101485107"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20988142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":"4","first_page":"1122","last_page":"1145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9962000250816345,"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":0.9962000250816345,"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.724740743637085},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6096934676170349},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.60953688621521},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.5992826819419861},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.5412478446960449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4439203441143036},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39214062690734863},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3232252895832062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3059052526950836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14675435423851013},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13190403580665588},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.0909186601638794},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.08338519930839539},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.06001967191696167}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.724740743637085},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6096934676170349},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.60953688621521},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.5992826819419861},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.5412478446960449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4439203441143036},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39214062690734863},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3232252895832062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3059052526950836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14675435423851013},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13190403580665588},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.0909186601638794},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.08338519930839539},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.06001967191696167},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2024.2427224","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2427224","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G408818585","display_name":null,"funder_award_id":"12271231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1606326889","https://openalex.org/W1708758585","https://openalex.org/W1930187923","https://openalex.org/W1973240854","https://openalex.org/W1982191138","https://openalex.org/W2032051534","https://openalex.org/W2034072526","https://openalex.org/W2043131298","https://openalex.org/W2043713114","https://openalex.org/W2044045490","https://openalex.org/W2047636878","https://openalex.org/W2049709461","https://openalex.org/W2068716332","https://openalex.org/W2081058124","https://openalex.org/W2088943591","https://openalex.org/W2131699250","https://openalex.org/W2147545132","https://openalex.org/W2153552426","https://openalex.org/W2165098365","https://openalex.org/W2172241436","https://openalex.org/W2312296303","https://openalex.org/W2320528005","https://openalex.org/W2325370670","https://openalex.org/W2478692615","https://openalex.org/W2524422949","https://openalex.org/W2731278514","https://openalex.org/W2769687664","https://openalex.org/W2953370864","https://openalex.org/W3012259527","https://openalex.org/W3196743853","https://openalex.org/W4200144792","https://openalex.org/W4221022258","https://openalex.org/W4247779215","https://openalex.org/W4256217162","https://openalex.org/W4292081285","https://openalex.org/W4296995007","https://openalex.org/W4309116784","https://openalex.org/W4362661871","https://openalex.org/W4376612777"],"related_works":["https://openalex.org/W2439807930","https://openalex.org/W2009692134","https://openalex.org/W1972271943","https://openalex.org/W2019155478","https://openalex.org/W2024529895","https://openalex.org/W2168175994","https://openalex.org/W1902630399","https://openalex.org/W2120434453","https://openalex.org/W3120578569","https://openalex.org/W1487412319"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
