Publication Information

{'id': 'https://openalex.org/W2990837948', 'doi': None, 'title': 'The bivariate $K$-finite normal mixture "blanket" copula: an application to driving patterns', 'display_name': 'The bivariate $K$-finite normal mixture "blanket" copula: an application to driving patterns', 'publication_year': 2019, 'publication_date': '2019-11-27', 'ids': {'openalex': 'https://openalex.org/W2990837948', 'mag': '2990837948'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://arxiv.org/abs/1911.12284', 'pdf_url': None, '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}, 'type': 'preprint', 'type_crossref': 'posted-content', 'indexed_in': [], '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/A5051053502', 'display_name': 'Aristidis K. Nikoloulopoulos', 'orcid': 'https://orcid.org/0000-0003-0853-0084'}, 'institutions': [], 'countries': [], 'is_corresponding': True, 'raw_author_name': 'Aristidis K. Nikoloulopoulos', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': ['https://openalex.org/A5051053502'], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': None, 'has_fulltext': False, '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': 61}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11901', 'display_name': 'Bayesian Methods and Mixture Models', 'score': 0.9833, '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': 0.9833, '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/T10282', 'display_name': 'Financial Risk and Volatility Modeling', 'score': 0.9523, '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'}}, {'id': 'https://openalex.org/T11871', 'display_name': 'Advanced Statistical Methods and Models', 'score': 0.9334, '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/bivariate-data', 'display_name': 'Bivariate data', 'score': 0.5429899}, {'id': 'https://openalex.org/keywords/parametric-model', 'display_name': 'Parametric model', 'score': 0.4458403}], 'concepts': [{'id': 'https://openalex.org/C17618745', 'wikidata': 'https://www.wikidata.org/wiki/Q207509', 'display_name': 'Copula (linguistics)', 'level': 2, 'score': 0.9549531}, {'id': 'https://openalex.org/C64341305', 'wikidata': 'https://www.wikidata.org/wiki/Q4919225', 'display_name': 'Bivariate analysis', 'level': 2, 'score': 0.94516087}, {'id': 'https://openalex.org/C117251300', 'wikidata': 'https://www.wikidata.org/wiki/Q1849855', 'display_name': 'Parametric statistics', 'level': 2, 'score': 0.70737267}, {'id': 'https://openalex.org/C148264743', 'wikidata': 'https://www.wikidata.org/wiki/Q4919224', 'display_name': 'Bivariate data', 'level': 3, 'score': 0.5429899}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.5341759}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.4825377}, {'id': 'https://openalex.org/C24574437', 'wikidata': 'https://www.wikidata.org/wiki/Q7135228', 'display_name': 'Parametric model', 'level': 3, 'score': 0.4458403}, {'id': 'https://openalex.org/C165696696', 'wikidata': 'https://www.wikidata.org/wiki/Q11287', 'display_name': 'Exploit', 'level': 2, 'score': 0.4343549}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.33305585}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.3021831}, {'id': 'https://openalex.org/C38652104', 'wikidata': 'https://www.wikidata.org/wiki/Q3510521', 'display_name': 'Computer security', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://arxiv.org/abs/1911.12284', 'pdf_url': None, '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}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W967733960', 'https://openalex.org/W884947404', 'https://openalex.org/W43529558', 'https://openalex.org/W390686421', 'https://openalex.org/W3177005804', 'https://openalex.org/W3173173439', 'https://openalex.org/W3127236696', 'https://openalex.org/W2887994137', 'https://openalex.org/W2795395625', 'https://openalex.org/W2761535067', 'https://openalex.org/W2619310863', 'https://openalex.org/W2341564731', 'https://openalex.org/W2263939762', 'https://openalex.org/W2183761080', 'https://openalex.org/W2090656739', 'https://openalex.org/W2046864765', 'https://openalex.org/W2042523563', 'https://openalex.org/W2033605973', 'https://openalex.org/W1607119198', 'https://openalex.org/W1593691610'], 'abstract_inverted_index': {'There': [0], 'are': [1], 'many': [2], 'bivariate': [3, 11, 21, 38, 57, 100], 'parametric': [4, 22, 37, 97], 'copulas': [5], 'in': [6, 34], 'the': [7, 35, 63, 80, 95], 'literature': [8], 'to': [9, 83], 'model': [10], 'data': [12, 86], 'with': [13], 'different': [14], 'dependence': [15, 30, 47], 'features.': [16], 'We': [17, 78], 'propose': [18], 'a': [19, 44, 75], 'new': [20, 81], 'copula': [23, 39, 51, 82], 'family': [24], 'that': [25, 32, 87], 'cannot': [26, 88], 'only': [27], 'handle': [28], 'various': [29], 'patterns': [31], 'appear': [33], 'existing': [36, 96], 'families,': [40], 'but': [41], 'also': [42], 'provides': [43], 'more': [45], 'enriched': [46], 'structure.': [48], 'The': [49, 60], 'proposed': [50], 'construction': [52], 'exploits': [53], 'finite': [54], 'mixtures': [55], 'of': [56, 94, 99], 'normal': [58], 'distributions.': [59], 'mixing': [61], 'operation,': [62], 'distinct': [64], 'correlation': [65], 'and': [66], 'mean': [67], 'parameters': [68], 'at': [69], 'each': [70], 'mixture': [71], 'component': [72], 'introduce': [73], 'quite': [74], 'flexible': [76], 'dependence.': [77], 'apply': [79], 'real': [84], 'transportation': [85], 'apparently': [89], 'be': [90], 'modelled': [91], 'by': [92], 'any': [93], 'families': [98], 'copulas.': [101]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2990837948', 'counts_by_year': [], 'updated_date': '2024-12-16T04:05:49.070303', 'created_date': '2019-12-05'}