Publication Information

{'id': 'https://openalex.org/W1550862754', 'doi': None, 'title': 'Prediction distribution for linear regression model with multivariate Student-t errors under the Bayesian approach', 'display_name': 'Prediction distribution for linear regression model with multivariate Student-t errors under the Bayesian approach', 'publication_year': 2007, 'publication_date': '2007-01-01', 'ids': {'openalex': 'https://openalex.org/W1550862754', 'mag': '1550862754'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://eprints.usq.edu.au/2446/', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', '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/A5077082060', 'display_name': 'Azizur Rahman', 'orcid': 'https://orcid.org/0000-0002-7670-5192'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Azizur Rahman', 'raw_affiliation_strings': ['Graham Centre for Agricultural Innovation'], 'affiliations': [{'raw_affiliation_string': 'Graham Centre for Agricultural Innovation', 'institution_ids': []}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5078659661', 'display_name': 'Shahjahan Khan', 'orcid': 'https://orcid.org/0000-0002-0446-086X'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Shahjahan Khan', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 2, 'citation_normalized_percentile': {'value': 0.57757, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 70, 'max': 73}, 'biblio': {'volume': None, 'issue': None, 'first_page': '188', 'last_page': '193'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10320', 'display_name': 'Neural Networks and Applications', 'score': 0.9278, '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/T10320', 'display_name': 'Neural Networks and Applications', 'score': 0.9278, '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/T11871', 'display_name': 'Advanced Statistical Methods and Models', 'score': 0.916, '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/posterior-predictive-distribution', 'display_name': 'Posterior predictive distribution', 'score': 0.5609008}, {'id': 'https://openalex.org/keywords/conditional-probability-distribution', 'display_name': 'Conditional probability distribution', 'score': 0.52425575}, {'id': 'https://openalex.org/keywords/students-t-distribution', 'display_name': "Student's t-distribution", 'score': 0.48991746}, {'id': 'https://openalex.org/keywords/matrix-t-distribution', 'display_name': 'Matrix t-distribution', 'score': 0.43318656}], 'concepts': [{'id': 'https://openalex.org/C37903108', 'wikidata': 'https://www.wikidata.org/wiki/Q4874474', 'display_name': 'Bayesian linear regression', 'level': 4, 'score': 0.70012534}, {'id': 'https://openalex.org/C64946054', 'wikidata': 'https://www.wikidata.org/wiki/Q4874476', 'display_name': 'Bayesian multivariate linear regression', 'level': 3, 'score': 0.6925305}, {'id': 'https://openalex.org/C161584116', 'wikidata': 'https://www.wikidata.org/wiki/Q1952580', 'display_name': 'Multivariate statistics', 'level': 2, 'score': 0.63650316}, {'id': 'https://openalex.org/C208081375', 'wikidata': 'https://www.wikidata.org/wiki/Q274502', 'display_name': 'Degrees of freedom (physics and chemistry)', 'level': 2, 'score': 0.6021717}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.5758319}, {'id': 'https://openalex.org/C83247935', 'wikidata': 'https://www.wikidata.org/wiki/Q7234227', 'display_name': 'Posterior predictive distribution', 'level': 5, 'score': 0.5609008}, {'id': 'https://openalex.org/C43555835', 'wikidata': 'https://www.wikidata.org/wiki/Q2300258', 'display_name': 'Conditional probability distribution', 'level': 2, 'score': 0.52425575}, {'id': 'https://openalex.org/C48921125', 'wikidata': 'https://www.wikidata.org/wiki/Q10861030', 'display_name': 'Linear regression', 'level': 2, 'score': 0.51545125}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.5106388}, {'id': 'https://openalex.org/C49232408', 'wikidata': 'https://www.wikidata.org/wiki/Q576072', 'display_name': "Student's t-distribution", 'level': 4, 'score': 0.48991746}, {'id': 'https://openalex.org/C152877465', 'wikidata': 'https://www.wikidata.org/wiki/Q208042', 'display_name': 'Regression analysis', 'level': 2, 'score': 0.4778899}, {'id': 'https://openalex.org/C107673813', 'wikidata': 'https://www.wikidata.org/wiki/Q812534', 'display_name': 'Bayesian probability', 'level': 2, 'score': 0.47547212}, {'id': 'https://openalex.org/C177384507', 'wikidata': 'https://www.wikidata.org/wiki/Q1149000', 'display_name': 'Multivariate normal distribution', 'level': 3, 'score': 0.46572277}, {'id': 'https://openalex.org/C32224588', 'wikidata': 'https://www.wikidata.org/wiki/Q7250175', 'display_name': 'Proper linear model', 'level': 4, 'score': 0.4453757}, {'id': 'https://openalex.org/C110121322', 'wikidata': 'https://www.wikidata.org/wiki/Q865811', 'display_name': 'Distribution (mathematics)', 'level': 2, 'score': 0.43542907}, {'id': 'https://openalex.org/C43514536', 'wikidata': 'https://www.wikidata.org/wiki/Q17098779', 'display_name': 'Matrix t-distribution', 'level': 4, 'score': 0.43318656}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.32846296}, {'id': 'https://openalex.org/C160234255', 'wikidata': 'https://www.wikidata.org/wiki/Q812535', 'display_name': 'Bayesian inference', 'level': 3, 'score': 0.27502608}, {'id': 'https://openalex.org/C91602232', 'wikidata': 'https://www.wikidata.org/wiki/Q756115', 'display_name': 'Volatility (finance)', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C23922673', 'wikidata': 'https://www.wikidata.org/wiki/Q180752', 'display_name': 'Autoregressive conditional heteroskedasticity', 'level': 3, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'http://eprints.usq.edu.au/2446/', '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': [{'display_name': 'Peace, justice, and strong institutions', 'score': 0.79, 'id': 'https://metadata.un.org/sdg/16'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W3207152736', 'https://openalex.org/W3126489814', 'https://openalex.org/W2969344832', 'https://openalex.org/W2807210985', 'https://openalex.org/W2607989282', 'https://openalex.org/W2560114309', 'https://openalex.org/W2309810681', 'https://openalex.org/W2252114801', 'https://openalex.org/W2184270054', 'https://openalex.org/W2167843024', 'https://openalex.org/W2118522007', 'https://openalex.org/W2103869087', 'https://openalex.org/W2057331441', 'https://openalex.org/W2015590924', 'https://openalex.org/W2014718081', 'https://openalex.org/W2001779587', 'https://openalex.org/W1992793740', 'https://openalex.org/W1974217687', 'https://openalex.org/W1561740805', 'https://openalex.org/W120670513'], 'abstract_inverted_index': {'[Abstract]:': [0], 'Prediction': [1], 'distribution': [2, 18, 93], 'is': [3, 16], 'a': [4, 17, 26, 75, 90], 'basis': [5], 'for': [6, 45, 54], 'predictive': [7], 'inferences': [8], 'applied': [9], 'in': [10], 'many': [11], 'real': [12], 'world': [13], 'situations.': [14], 'It': [15], 'of': [19, 28, 67, 86, 96, 102, 109, 121, 123], 'the': [20, 51, 60, 64, 69, 83, 100, 103, 107, 110, 119, 124], 'unobserved': [21], 'future': [22, 72, 87], 'response(s)': [23, 88], 'conditional': [24], 'on': [25, 99, 118], 'set': [27], 'realized': [29, 104], 'responses': [30], 'from': [31], 'an': [32], 'informative': [33], 'experiment.': [34], 'Various': [35], 'statistical': [36], 'approaches': [37], 'can': [38], 'be': [39], 'used': [40], 'to': [41], 'obtain': [42], 'prediction': [43, 52, 84], 'distributions': [44], 'different': [46], 'models.': [47], 'This': [48], 'study': [49, 80], 'derives': [50], 'distribution(s)': [53, 85], 'multiple': [55], 'linear': [56], 'regression': [57, 111], 'model': [58], 'using': [59], 'Bayesian': [61], 'method': [62], 'when': [63], 'error': [65], 'components': [66], 'both': [68], 'performed': [70], 'and': [71, 106], 'models': [73], 'have': [74], 'multivariate': [76, 91], 'Student-t': [77, 92], 'distribution.': [78, 126], 'The': [79], 'observes': [81], 'that': [82], 'has': [89], 'whose': [94], 'degrees': [95, 120], 'freedom': [97, 122], 'depends': [98], 'size': [101], 'sample': [105], 'dimension': [108], 'parameters’': [112], 'vector': [113], 'but': [114], 'does': [115], 'not': [116], 'depend': [117], 'errors': [125]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W1550862754', 'counts_by_year': [{'year': 2019, 'cited_by_count': 2}], 'updated_date': '2024-12-25T17:31:13.032735', 'created_date': '2016-06-24'}