Publication Information

{'id': 'https://openalex.org/W2045761178', 'doi': 'https://doi.org/10.1016/j.csda.2008.01.005', 'title': 'Adaptive rejection Metropolis sampling using Lagrange interpolation polynomials of degree 2', 'display_name': 'Adaptive rejection Metropolis sampling using Lagrange interpolation polynomials of degree 2', 'publication_year': 2008, 'publication_date': '2008-01-28', 'ids': {'openalex': 'https://openalex.org/W2045761178', 'doi': 'https://doi.org/10.1016/j.csda.2008.01.005', 'mag': '2045761178'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1016/j.csda.2008.01.005', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S132362803', 'display_name': 'Computational Statistics & Data Analysis', 'issn_l': '0167-9473', 'issn': ['0167-9473', '1872-7352'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5010334664', 'display_name': 'Renate Meyer', 'orcid': 'https://orcid.org/0000-0003-0268-8569'}, 'institutions': [{'id': 'https://openalex.org/I154130895', 'display_name': 'University of Auckland', 'ror': 'https://ror.org/03b94tp07', 'country_code': 'NZ', 'type': 'education', 'lineage': ['https://openalex.org/I154130895']}], 'countries': ['NZ'], 'is_corresponding': False, 'raw_author_name': 'Renate Meyer', 'raw_affiliation_strings': ['Department of Statistics, University of Auckland, Private Bag, 92019 Auckland, New Zealand'], 'affiliations': [{'raw_affiliation_string': 'Department of Statistics, University of Auckland, Private Bag, 92019 Auckland, New Zealand', 'institution_ids': ['https://openalex.org/I154130895']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5101909735', 'display_name': 'Bo Cai', 'orcid': 'https://orcid.org/0000-0001-9386-8762'}, 'institutions': [{'id': 'https://openalex.org/I155781252', 'display_name': 'University of South Carolina', 'ror': 'https://ror.org/02b6qw903', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I155781252']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Bo Cai', 'raw_affiliation_strings': ['Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC 29208, United States#TAB#'], 'affiliations': [{'raw_affiliation_string': 'Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC 29208, United States#TAB#', 'institution_ids': ['https://openalex.org/I155781252']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5051539584', 'display_name': 'François Perron', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I70931966', 'display_name': 'Université de Montréal', 'ror': 'https://ror.org/0161xgx34', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I70931966']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'François Perron', 'raw_affiliation_strings': ['Department of Mathematics and Statistics, University of Montreal, Montreal, Quebec, Canada, H3C 3J7'], 'affiliations': [{'raw_affiliation_string': 'Department of Mathematics and Statistics, University of Montreal, Montreal, Quebec, Canada, H3C 3J7', 'institution_ids': ['https://openalex.org/I70931966']}]}], 'institution_assertions': [], 'countries_distinct_count': 3, 'institutions_distinct_count': 3, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': {'value': 3340, 'currency': 'USD', 'value_usd': 3340, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 4.607, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 48, 'citation_normalized_percentile': {'value': 0.969731, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 93, 'max': 94}, 'biblio': {'volume': '52', 'issue': '7', 'first_page': '3408', 'last_page': '3423'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11901', 'display_name': 'Bayesian Methods and Mixture Models', 'score': 0.9993, '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/T11901', 'display_name': 'Bayesian Methods and Mixture Models', 'score': 0.9993, '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': 0.9981, '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/T10243', 'display_name': 'Statistical Methods and Bayesian Inference', 'score': 0.9975, '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/gibbs-sampling', 'display_name': 'Gibbs sampling', 'score': 0.88845766}, {'id': 'https://openalex.org/keywords/rejection-sampling', 'display_name': 'Rejection sampling', 'score': 0.61267453}, {'id': 'https://openalex.org/keywords/metropolis–hastings-algorithm', 'display_name': 'Metropolis–Hastings algorithm', 'score': 0.6078348}, {'id': 'https://openalex.org/keywords/univariate', 'display_name': 'Univariate', 'score': 0.6063318}], 'concepts': [{'id': 'https://openalex.org/C158424031', 'wikidata': 'https://www.wikidata.org/wiki/Q1191905', 'display_name': 'Gibbs sampling', 'level': 3, 'score': 0.88845766}, {'id': 'https://openalex.org/C170593435', 'wikidata': 'https://www.wikidata.org/wiki/Q4128565', 'display_name': 'Slice sampling', 'level': 4, 'score': 0.7228857}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.71053594}, {'id': 'https://openalex.org/C187192777', 'wikidata': 'https://www.wikidata.org/wiki/Q381699', 'display_name': 'Rejection sampling', 'level': 5, 'score': 0.61267453}, {'id': 'https://openalex.org/C204693719', 'wikidata': 'https://www.wikidata.org/wiki/Q910810', 'display_name': 'Metropolis–Hastings algorithm', 'level': 4, 'score': 0.6078348}, {'id': 'https://openalex.org/C199163554', 'wikidata': 'https://www.wikidata.org/wiki/Q1681619', 'display_name': 'Univariate', 'level': 3, 'score': 0.6063318}, {'id': 'https://openalex.org/C140779682', 'wikidata': 'https://www.wikidata.org/wiki/Q210868', 'display_name': 'Sampling (signal processing)', 'level': 3, 'score': 0.5759451}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.5304807}, {'id': 'https://openalex.org/C111350023', 'wikidata': 'https://www.wikidata.org/wiki/Q1191869', 'display_name': 'Markov chain Monte Carlo', 'level': 3, 'score': 0.5106321}, {'id': 'https://openalex.org/C107673813', 'wikidata': 'https://www.wikidata.org/wiki/Q812534', 'display_name': 'Bayesian probability', 'level': 2, 'score': 0.44545367}, {'id': 'https://openalex.org/C52740198', 'wikidata': 'https://www.wikidata.org/wiki/Q1539564', 'display_name': 'Importance sampling', 'level': 3, 'score': 0.42076743}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.41861337}, {'id': 'https://openalex.org/C28826006', 'wikidata': 'https://www.wikidata.org/wiki/Q33521', 'display_name': 'Applied mathematics', 'level': 1, 'score': 0.39101028}, {'id': 'https://openalex.org/C19499675', 'wikidata': 'https://www.wikidata.org/wiki/Q232207', 'display_name': 'Monte Carlo method', 'level': 2, 'score': 0.23281264}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.19312257}, {'id': 'https://openalex.org/C13153151', 'wikidata': 'https://www.wikidata.org/wiki/Q1639846', 'display_name': 'Hybrid Monte Carlo', 'level': 4, 'score': 0.15316173}, {'id': 'https://openalex.org/C161584116', 'wikidata': 'https://www.wikidata.org/wiki/Q1952580', 'display_name': 'Multivariate statistics', 'level': 2, 'score': 0.071703106}, {'id': 'https://openalex.org/C106131492', 'wikidata': 'https://www.wikidata.org/wiki/Q3072260', 'display_name': 'Filter (signal processing)', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1016/j.csda.2008.01.005', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S132362803', 'display_name': 'Computational Statistics & Data Analysis', 'issn_l': '0167-9473', 'issn': ['0167-9473', '1872-7352'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'display_name': 'Life below water', 'score': 0.84, 'id': 'https://metadata.un.org/sdg/14'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 47, 'referenced_works': ['https://openalex.org/W119366826', 'https://openalex.org/W1512909729', 'https://openalex.org/W1547716228', 'https://openalex.org/W1599127549', 'https://openalex.org/W1977569390', 'https://openalex.org/W1980363510', 'https://openalex.org/W2004258534', 'https://openalex.org/W2013696827', 'https://openalex.org/W2020999234', 'https://openalex.org/W2022830452', 'https://openalex.org/W2028715920', 'https://openalex.org/W2034833340', 'https://openalex.org/W2038411697', 'https://openalex.org/W2053304521', 'https://openalex.org/W2079843777', 'https://openalex.org/W2080247439', 'https://openalex.org/W2082020799', 'https://openalex.org/W2085038710', 'https://openalex.org/W2087441176', 'https://openalex.org/W2105934661', 'https://openalex.org/W2128981260', 'https://openalex.org/W2135338737', 'https://openalex.org/W2136796925', 'https://openalex.org/W2151926297', 'https://openalex.org/W2152828142', 'https://openalex.org/W2163738067', 'https://openalex.org/W2204383650', 'https://openalex.org/W2483806233', 'https://openalex.org/W2506240679', 'https://openalex.org/W2506637906', 'https://openalex.org/W2571446175', 'https://openalex.org/W2615953416', 'https://openalex.org/W3022295647', 'https://openalex.org/W3037265734', 'https://openalex.org/W3123714266', 'https://openalex.org/W32980360', 'https://openalex.org/W41222772', 'https://openalex.org/W4229675351', 'https://openalex.org/W4230637132', 'https://openalex.org/W4231517135', 'https://openalex.org/W4250135808', 'https://openalex.org/W4252861292', 'https://openalex.org/W4300781150', 'https://openalex.org/W4307492541', 'https://openalex.org/W4388289942', 'https://openalex.org/W617853731', 'https://openalex.org/W98205965'], 'related_works': ['https://openalex.org/W4300877486', 'https://openalex.org/W4294529948', 'https://openalex.org/W4250051631', 'https://openalex.org/W2914481316', 'https://openalex.org/W2539839227', 'https://openalex.org/W2162021827', 'https://openalex.org/W2045761178', 'https://openalex.org/W2003732947', 'https://openalex.org/W1526222228', 'https://openalex.org/W13281851'], 'abstract_inverted_index': None, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2045761178', 'counts_by_year': [{'year': 2023, 'cited_by_count': 3}, {'year': 2022, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 2}, {'year': 2020, 'cited_by_count': 3}, {'year': 2019, 'cited_by_count': 5}, {'year': 2018, 'cited_by_count': 5}, {'year': 2017, 'cited_by_count': 6}, {'year': 2016, 'cited_by_count': 4}, {'year': 2015, 'cited_by_count': 2}, {'year': 2014, 'cited_by_count': 2}, {'year': 2013, 'cited_by_count': 3}, {'year': 2012, 'cited_by_count': 1}], 'updated_date': '2024-12-16T06:49:32.409732', 'created_date': '2016-06-24'}