Publication Information

{'id': 'https://openalex.org/W4246060305', 'doi': 'https://doi.org/10.1002/9781119153023.ch4', 'title': 'Metropolis–Hastings and Slice Sampling for Finite Element Updating', 'display_name': 'Metropolis–Hastings and Slice Sampling for Finite Element Updating', 'publication_year': 2016, 'publication_date': '2016-10-18', 'ids': {'openalex': 'https://openalex.org/W4246060305', 'doi': 'https://doi.org/10.1002/9781119153023.ch4'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1002/9781119153023.ch4', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'other', 'type_crossref': 'other', '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/A5066130528', 'display_name': 'Tshilidzi Marwala', 'orcid': 'https://orcid.org/0000-0001-7372-5510'}, 'institutions': [{'id': 'https://openalex.org/I24027795', 'display_name': 'University of Johannesburg', 'ror': 'https://ror.org/04z6c2n17', 'country_code': 'ZA', 'type': 'education', 'lineage': ['https://openalex.org/I24027795']}], 'countries': ['ZA'], 'is_corresponding': False, 'raw_author_name': 'Tshilidzi Marwala', 'raw_affiliation_strings': ['University of Johannesburg, South Africa'], 'affiliations': [{'raw_affiliation_string': 'University of Johannesburg, South Africa', 'institution_ids': ['https://openalex.org/I24027795']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5007517435', 'display_name': 'Ilyes Boulkaibet', 'orcid': 'https://orcid.org/0000-0002-3823-1328'}, 'institutions': [{'id': 'https://openalex.org/I24027795', 'display_name': 'University of Johannesburg', 'ror': 'https://ror.org/04z6c2n17', 'country_code': 'ZA', 'type': 'education', 'lineage': ['https://openalex.org/I24027795']}], 'countries': ['ZA'], 'is_corresponding': False, 'raw_author_name': 'Ilyes Boulkaibet', 'raw_affiliation_strings': ['University of Johannesburg, South Africa'], 'affiliations': [{'raw_affiliation_string': 'University of Johannesburg, South Africa', 'institution_ids': ['https://openalex.org/I24027795']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5007121098', 'display_name': 'Sondipon Adhikari', 'orcid': 'https://orcid.org/0000-0003-4181-3457'}, 'institutions': [{'id': 'https://openalex.org/I39586589', 'display_name': 'Swansea University', 'ror': 'https://ror.org/053fq8t95', 'country_code': 'GB', 'type': 'education', 'lineage': ['https://openalex.org/I39586589']}], 'countries': ['GB'], 'is_corresponding': False, 'raw_author_name': 'Sondipon Adhikari', 'raw_affiliation_strings': ['Swansea University, UK'], 'affiliations': [{'raw_affiliation_string': 'Swansea University, UK', 'institution_ids': ['https://openalex.org/I39586589']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': None, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 0, 'citation_normalized_percentile': {'value': 0.0, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 0, 'max': 66}, 'biblio': {'volume': None, 'issue': None, 'first_page': '65', 'last_page': '83'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10928', 'display_name': 'Probabilistic and Robust Engineering Design', 'score': 0.9986, 'subfield': {'id': 'https://openalex.org/subfields/1804', 'display_name': 'Statistics, Probability and Uncertainty'}, 'field': {'id': 'https://openalex.org/fields/18', 'display_name': 'Decision Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10928', 'display_name': 'Probabilistic and Robust Engineering Design', 'score': 0.9986, 'subfield': {'id': 'https://openalex.org/subfields/1804', 'display_name': 'Statistics, Probability and Uncertainty'}, 'field': {'id': 'https://openalex.org/fields/18', 'display_name': 'Decision Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, {'id': 'https://openalex.org/T13126', 'display_name': 'Scientific Research and Discoveries', 'score': 0.974, 'subfield': {'id': 'https://openalex.org/subfields/3109', 'display_name': 'Statistical and Nonlinear Physics'}, 'field': {'id': 'https://openalex.org/fields/31', 'display_name': 'Physics and Astronomy'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10534', 'display_name': 'Structural Health Monitoring Techniques', 'score': 0.9736, 'subfield': {'id': 'https://openalex.org/subfields/2205', 'display_name': 'Civil and Structural Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/metropolis–hastings-algorithm', 'display_name': 'Metropolis–Hastings algorithm', 'score': 0.8349935}, {'id': 'https://openalex.org/keywords/gibbs-sampling', 'display_name': 'Gibbs sampling', 'score': 0.47282588}, {'id': 'https://openalex.org/keywords/rejection-sampling', 'display_name': 'Rejection sampling', 'score': 0.4604545}], 'concepts': [{'id': 'https://openalex.org/C111350023', 'wikidata': 'https://www.wikidata.org/wiki/Q1191869', 'display_name': 'Markov chain Monte Carlo', 'level': 3, 'score': 0.8542643}, {'id': 'https://openalex.org/C204693719', 'wikidata': 'https://www.wikidata.org/wiki/Q910810', 'display_name': 'Metropolis–Hastings algorithm', 'level': 4, 'score': 0.8349935}, {'id': 'https://openalex.org/C170593435', 'wikidata': 'https://www.wikidata.org/wiki/Q4128565', 'display_name': 'Slice sampling', 'level': 4, 'score': 0.77405727}, {'id': 'https://openalex.org/C140779682', 'wikidata': 'https://www.wikidata.org/wiki/Q210868', 'display_name': 'Sampling (signal processing)', 'level': 3, 'score': 0.5588869}, {'id': 'https://openalex.org/C57830394', 'wikidata': 'https://www.wikidata.org/wiki/Q278079', 'display_name': 'Posterior probability', 'level': 3, 'score': 0.5544775}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.4990697}, {'id': 'https://openalex.org/C158424031', 'wikidata': 'https://www.wikidata.org/wiki/Q1191905', 'display_name': 'Gibbs sampling', 'level': 3, 'score': 0.47282588}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.46675682}, {'id': 'https://openalex.org/C187192777', 'wikidata': 'https://www.wikidata.org/wiki/Q381699', 'display_name': 'Rejection sampling', 'level': 5, 'score': 0.4604545}, {'id': 'https://openalex.org/C19499675', 'wikidata': 'https://www.wikidata.org/wiki/Q232207', 'display_name': 'Monte Carlo method', 'level': 2, 'score': 0.451805}, {'id': 'https://openalex.org/C135628077', 'wikidata': 'https://www.wikidata.org/wiki/Q220184', 'display_name': 'Finite element method', 'level': 2, 'score': 0.42796257}, {'id': 'https://openalex.org/C13153151', 'wikidata': 'https://www.wikidata.org/wiki/Q1639846', 'display_name': 'Hybrid Monte Carlo', 'level': 4, 'score': 0.39512324}, {'id': 'https://openalex.org/C107673813', 'wikidata': 'https://www.wikidata.org/wiki/Q812534', 'display_name': 'Bayesian probability', 'level': 2, 'score': 0.39475203}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.38690528}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.3464733}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.079680204}, {'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}, {'id': 'https://openalex.org/C97355855', 'wikidata': 'https://www.wikidata.org/wiki/Q11473', 'display_name': 'Thermodynamics', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1002/9781119153023.ch4', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 48, 'referenced_works': ['https://openalex.org/W15189573', 'https://openalex.org/W1582614941', 'https://openalex.org/W1769978891', 'https://openalex.org/W18553681', 'https://openalex.org/W1969309536', 'https://openalex.org/W1976911628', 'https://openalex.org/W1993017383', 'https://openalex.org/W2000237960', 'https://openalex.org/W2006384093', 'https://openalex.org/W2008442174', 'https://openalex.org/W2009985525', 'https://openalex.org/W2013399084', 'https://openalex.org/W2019362891', 'https://openalex.org/W2021055263', 'https://openalex.org/W2023502716', 'https://openalex.org/W2025119805', 'https://openalex.org/W2026216535', 'https://openalex.org/W2027235634', 'https://openalex.org/W2029818761', 'https://openalex.org/W2037139490', 'https://openalex.org/W2039026354', 'https://openalex.org/W2056760934', 'https://openalex.org/W2059203749', 'https://openalex.org/W2060182887', 'https://openalex.org/W2064973076', 'https://openalex.org/W2071039496', 'https://openalex.org/W2071668645', 'https://openalex.org/W2076743837', 'https://openalex.org/W2083318778', 'https://openalex.org/W2090447463', 'https://openalex.org/W2116855235', 'https://openalex.org/W2138309709', 'https://openalex.org/W2139014051', 'https://openalex.org/W2142819099', 'https://openalex.org/W2148806080', 'https://openalex.org/W2161113890', 'https://openalex.org/W2165991407', 'https://openalex.org/W2400169068', 'https://openalex.org/W2485483709', 'https://openalex.org/W2745442144', 'https://openalex.org/W3081274109', 'https://openalex.org/W32980360', 'https://openalex.org/W4212863985', 'https://openalex.org/W4236221042', 'https://openalex.org/W4243645092', 'https://openalex.org/W4255975151', 'https://openalex.org/W4297463563', 'https://openalex.org/W621546036'], 'related_works': ['https://openalex.org/W4295750535', 'https://openalex.org/W4294529948', 'https://openalex.org/W3198973722', 'https://openalex.org/W3097509027', 'https://openalex.org/W2914481316', 'https://openalex.org/W2539839227', 'https://openalex.org/W2162021827', 'https://openalex.org/W2045761178', 'https://openalex.org/W1539868720', 'https://openalex.org/W1526222228'], 'abstract_inverted_index': {'In': [0], 'this': [1], 'chapter,': [2], 'Markov': [3, 33], 'chain': [4], 'Monte': [5, 38], 'Carlo': [6, 39], '(MCMC)': [7], 'and': [8, 37, 56], 'Bayesian': [9], 'statistics': [10], 'are': [11, 43], 'used': [12, 44], 'for': [13, 23], 'finite': [14, 48], 'element': [15, 49], 'model': [16, 50], 'updating.': [17], 'MCMC': [18], 'is': [19, 63, 74, 90], 'a': [20, 26, 47, 52, 64], 'statistical': [21], 'procedure': [22], 'computationally': [24], 'sampling': [25, 61, 88, 93], 'probability': [27], 'distribution': [28, 84, 101], 'function': [29], 'based': [30], 'on': [31], 'the': [32, 79, 82, 96, 99], 'process,': [34], 'random': [35], 'walk': [36], 'simulation.': [40], 'Two': [41], 'approaches': [42], 'to': [45, 77], 'update': [46], 'of': [51, 81], 'mechanical': [53], 'structure:': [54], 'Metropolis–Hastings': [55], 'slice': [57, 60, 87], 'sampling.': [58], 'The': [59, 86], 'technique': [62], 'simple': [65], 'method': [66, 89], 'that': [67], 'offers': [68], 'an': [69], 'adaptive': [70], 'step': [71], 'size,': [72], 'which': [73], 'automatically': [75], 'adjusted': [76], 'match': [78], 'characteristics': [80], 'posterior': [83, 100], 'function.': [85, 102], 'operated': [91], 'by': [92], 'uniformly': [94], 'from': [95], 'area': [97], 'under': [98]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4246060305', 'counts_by_year': [], 'updated_date': '2024-12-11T07:26:13.759106', 'created_date': '2022-05-12'}