Publication Information

{'id': 'https://openalex.org/W3121581836', 'doi': 'https://doi.org/10.1002/sta4.143', 'title': 'A matrix variate skew‐<i>t</i> distribution', 'display_name': 'A matrix variate skew‐<i>t</i> distribution', 'publication_year': 2017, 'publication_date': '2017-01-01', 'ids': {'openalex': 'https://openalex.org/W3121581836', 'doi': 'https://doi.org/10.1002/sta4.143', 'mag': '3121581836'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1002/sta4.143', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210193439', 'display_name': 'Stat', 'issn_l': '2049-1573', 'issn': ['2049-1573'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320595', 'host_organization_name': 'Wiley', 'host_organization_lineage': ['https://openalex.org/P4310320595'], 'host_organization_lineage_names': ['Wiley'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['arxiv', 'crossref', 'datacite'], 'open_access': {'is_oa': True, 'oa_status': 'green', 'oa_url': 'https://arxiv.org/pdf/1703.01364', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5003454764', 'display_name': 'Michael P. B. Gallaugher', 'orcid': 'https://orcid.org/0000-0002-5487-8965'}, 'institutions': [{'id': 'https://openalex.org/I98251732', 'display_name': 'McMaster University', 'ror': 'https://ror.org/02fa3aq29', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I98251732']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Michael P.B. Gallaugher', 'raw_affiliation_strings': ['Department of Mathematics and Statistics, McMaster University, Hamilton, L8S 4L8 Ontario, Canada'], 'affiliations': [{'raw_affiliation_string': 'Department of Mathematics and Statistics, McMaster University, Hamilton, L8S 4L8 Ontario, Canada', 'institution_ids': ['https://openalex.org/I98251732']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5069386158', 'display_name': 'Paul D. McNicholas', 'orcid': 'https://orcid.org/0000-0002-2482-523X'}, 'institutions': [{'id': 'https://openalex.org/I98251732', 'display_name': 'McMaster University', 'ror': 'https://ror.org/02fa3aq29', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I98251732']}], 'countries': ['CA'], 'is_corresponding': True, 'raw_author_name': 'Paul D. McNicholas', 'raw_affiliation_strings': ['Department of Mathematics and Statistics, McMaster University, Hamilton, L8S 4L8 Ontario, Canada'], 'affiliations': [{'raw_affiliation_string': 'Department of Mathematics and Statistics, McMaster University, Hamilton, L8S 4L8 Ontario, Canada', 'institution_ids': ['https://openalex.org/I98251732']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': ['https://openalex.org/A5069386158'], 'corresponding_institution_ids': ['https://openalex.org/I98251732'], 'apc_list': {'value': 3550, 'currency': 'USD', 'value_usd': 3550, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 3.403, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 38, 'citation_normalized_percentile': {'value': 0.999968, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 94, 'max': 95}, 'biblio': {'volume': '6', 'issue': '1', 'first_page': '160', 'last_page': '170'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11901', 'display_name': 'Bayesian Methods and Mixture Models', 'score': 0.9999, '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': 0.9999, '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/T10243', 'display_name': 'Statistical Methods and Bayesian Inference', 'score': 0.9879, '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/T10637', 'display_name': 'Advanced Clustering Algorithms Research', 'score': 0.9698, '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'}}], 'keywords': [{'id': 'https://openalex.org/keywords/data-matrix', 'display_name': 'Data Matrix', 'score': 0.49213308}, {'id': 'https://openalex.org/keywords/matrix', 'display_name': 'Matrix (chemical analysis)', 'score': 0.4229338}], 'concepts': [{'id': 'https://openalex.org/C141547133', 'wikidata': 'https://www.wikidata.org/wiki/Q7291996', 'display_name': 'Random variate', 'level': 3, 'score': 0.8668958}, {'id': 'https://openalex.org/C73555534', 'wikidata': 'https://www.wikidata.org/wiki/Q622825', 'display_name': 'Cluster analysis', 'level': 2, 'score': 0.64342296}, {'id': 'https://openalex.org/C182081679', 'wikidata': 'https://www.wikidata.org/wiki/Q1275153', 'display_name': 'Expectation–maximization algorithm', 'level': 3, 'score': 0.5734547}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.5357223}, {'id': 'https://openalex.org/C2780985081', 'wikidata': 'https://www.wikidata.org/wiki/Q676502', 'display_name': 'Data Matrix', 'level': 5, 'score': 0.49213308}, {'id': 'https://openalex.org/C177384507', 'wikidata': 'https://www.wikidata.org/wiki/Q1149000', 'display_name': 'Multivariate normal distribution', 'level': 3, 'score': 0.45326257}, {'id': 'https://openalex.org/C43711488', 'wikidata': 'https://www.wikidata.org/wiki/Q7534783', 'display_name': 'Skew', 'level': 2, 'score': 0.44419956}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.43199575}, {'id': 'https://openalex.org/C106487976', 'wikidata': 'https://www.wikidata.org/wiki/Q685816', 'display_name': 'Matrix (chemical analysis)', 'level': 2, 'score': 0.4229338}, {'id': 'https://openalex.org/C28826006', 'wikidata': 'https://www.wikidata.org/wiki/Q33521', 'display_name': 'Applied mathematics', 'level': 1, 'score': 0.40926808}, {'id': 'https://openalex.org/C161584116', 'wikidata': 'https://www.wikidata.org/wiki/Q1952580', 'display_name': 'Multivariate statistics', 'level': 2, 'score': 0.40676945}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.31944185}, {'id': 'https://openalex.org/C122123141', 'wikidata': 'https://www.wikidata.org/wiki/Q176623', 'display_name': 'Random variable', 'level': 2, 'score': 0.12902597}, {'id': 'https://openalex.org/C49781872', 'wikidata': 'https://www.wikidata.org/wiki/Q1045555', 'display_name': 'Maximum likelihood', 'level': 2, 'score': 0.10939494}, {'id': 'https://openalex.org/C192562407', 'wikidata': 'https://www.wikidata.org/wiki/Q228736', 'display_name': 'Materials science', 'level': 0, 'score': 0.06985858}, {'id': 'https://openalex.org/C76155785', 'wikidata': 'https://www.wikidata.org/wiki/Q418', 'display_name': 'Telecommunications', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C44465124', 'wikidata': 'https://www.wikidata.org/wiki/Q713623', 'display_name': 'Clade', 'level': 4, 'score': 0.0}, {'id': 'https://openalex.org/C55493867', 'wikidata': 'https://www.wikidata.org/wiki/Q7094', 'display_name': 'Biochemistry', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C185592680', 'wikidata': 'https://www.wikidata.org/wiki/Q2329', 'display_name': 'Chemistry', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C159985019', 'wikidata': 'https://www.wikidata.org/wiki/Q181790', 'display_name': 'Composite material', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C104317684', 'wikidata': 'https://www.wikidata.org/wiki/Q7187', 'display_name': 'Gene', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C193252679', 'wikidata': 'https://www.wikidata.org/wiki/Q242125', 'display_name': 'Phylogenetic tree', 'level': 3, 'score': 0.0}], 'mesh': [], 'locations_count': 5, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1002/sta4.143', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210193439', 'display_name': 'Stat', 'issn_l': '2049-1573', 'issn': ['2049-1573'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320595', 'host_organization_name': 'Wiley', 'host_organization_lineage': ['https://openalex.org/P4310320595'], 'host_organization_lineage_names': ['Wiley'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/1703.01364', 'pdf_url': 'https://arxiv.org/pdf/1703.01364', 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, {'is_oa': True, 'landing_page_url': 'http://arxiv.org/abs/1703.08882', 'pdf_url': 'http://arxiv.org/pdf/1703.08882', 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, {'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/1703.08882', 'pdf_url': 'https://arxiv.org/pdf/1703.08882', 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, {'is_oa': False, 'landing_page_url': 'https://api.datacite.org/dois/10.48550/arxiv.1703.08882', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4393179698', 'display_name': 'DataCite API', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I4210145204', 'host_organization_name': 'DataCite', 'host_organization_lineage': ['https://openalex.org/I4210145204'], 'host_organization_lineage_names': ['DataCite'], 'type': 'metadata'}, 'license': None, 'license_id': None, 'version': None}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/1703.01364', 'pdf_url': 'https://arxiv.org/pdf/1703.01364', 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': ['https://openalex.org/W2950411888', 'https://openalex.org/W3121581836', 'https://openalex.org/W3124061066'], 'referenced_works_count': 60, 'referenced_works': ['https://openalex.org/W1590238912', 'https://openalex.org/W1755019093', 'https://openalex.org/W1952223965', 'https://openalex.org/W1964231120', 'https://openalex.org/W1966129222', 'https://openalex.org/W1967639437', 'https://openalex.org/W1973335304', 'https://openalex.org/W1975120776', 'https://openalex.org/W1978812719', 'https://openalex.org/W1981367467', 'https://openalex.org/W1981978005', 'https://openalex.org/W1996507603', 'https://openalex.org/W2004975685', 'https://openalex.org/W2014306350', 'https://openalex.org/W2018944012', 'https://openalex.org/W2029709377', 'https://openalex.org/W2033713899', 'https://openalex.org/W2035886438', 'https://openalex.org/W2039615557', 'https://openalex.org/W2044186721', 'https://openalex.org/W2046011840', 'https://openalex.org/W2046343360', 'https://openalex.org/W2058367787', 'https://openalex.org/W2058382689', 'https://openalex.org/W2068406209', 'https://openalex.org/W2073984943', 'https://openalex.org/W2078537874', 'https://openalex.org/W2085572798', 'https://openalex.org/W2086568243', 'https://openalex.org/W2086699924', 'https://openalex.org/W2087101057', 'https://openalex.org/W2105787212', 'https://openalex.org/W2109820980', 'https://openalex.org/W2112796928', 'https://openalex.org/W2150230417', 'https://openalex.org/W2154055962', 'https://openalex.org/W2164765928', 'https://openalex.org/W2168175751', 'https://openalex.org/W232292913', 'https://openalex.org/W2461082701', 'https://openalex.org/W2464874346', 'https://openalex.org/W2524681876', 'https://openalex.org/W2549601578', 'https://openalex.org/W2582743722', 'https://openalex.org/W2602801322', 'https://openalex.org/W2728522405', 'https://openalex.org/W2949806424', 'https://openalex.org/W2950411888', 'https://openalex.org/W2952960741', 'https://openalex.org/W2962948145', 'https://openalex.org/W2963574168', 'https://openalex.org/W306662213', 'https://openalex.org/W3098618009', 'https://openalex.org/W3099704538', 'https://openalex.org/W3125339951', 'https://openalex.org/W3125841640', 'https://openalex.org/W4235669710', 'https://openalex.org/W4241542937', 'https://openalex.org/W4246809545', 'https://openalex.org/W4303710309'], 'related_works': ['https://openalex.org/W4389449609', 'https://openalex.org/W3176032769', 'https://openalex.org/W3016315862', 'https://openalex.org/W2502532714', 'https://openalex.org/W2464874346', 'https://openalex.org/W2288758710', 'https://openalex.org/W2086568243', 'https://openalex.org/W2018570019', 'https://openalex.org/W1995261331', 'https://openalex.org/W1596104819'], 'abstract_inverted_index': {'Although': [0], 'there': [1, 15], 'is': [2, 16, 43, 56], 'ample': [3], 'work': [4, 21, 28], 'in': [5, 11, 22], 'the': [6, 12, 23], 'literature': [7], 'dealing': [8], 'with': [9], 'skewness': [10], 'multivariate': [13], 'setting,': [14], 'a': [17, 47], 'relative': [18], 'paucity': [19], 'of': [20], 'matrix': [24, 38, 49], 'variate': [25, 39], 'paradigm.': [26], 'Such': [27], 'is,': [29], 'for': [30, 33, 58, 65], 'example,': [31], 'useful': [32], 'modelling': [34], 'three‐way': [35], 'data.': [36], 'A': [37], 'skew‐': [40], 't': [41], 'distribution': [42], 'derived': [44], 'based': [45], 'on': [46], 'mean‐variance': [48], 'normal': [50], 'mixture.': [51], 'An': [52], 'expectation‐conditional': [53], 'maximization': [54], 'algorithm': [55], 'developed': [57], 'parameter': [59], 'estimation.': [60], 'Simulated': [61], 'data': [62], 'are': [63], 'used': [64], 'illustration.': [66], 'Copyright': [67], '©': [68], '2017': [69], 'John': [70], 'Wiley': [71], '&amp;': [72], 'Sons,': [73], 'Ltd.': [74]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3121581836', 'counts_by_year': [{'year': 2024, 'cited_by_count': 3}, {'year': 2023, 'cited_by_count': 3}, {'year': 2022, 'cited_by_count': 5}, {'year': 2021, 'cited_by_count': 9}, {'year': 2020, 'cited_by_count': 3}, {'year': 2019, 'cited_by_count': 5}, {'year': 2018, 'cited_by_count': 5}, {'year': 2017, 'cited_by_count': 4}], 'updated_date': '2024-12-10T08:34:50.349287', 'created_date': '2021-02-01'}