Publication Information

{'id': 'https://openalex.org/W1977323747', 'doi': 'https://doi.org/10.1214/11-bjps144', 'title': 'Bayesian statistics with a smile: A resampling–sampling perspective', 'display_name': 'Bayesian statistics with a smile: A resampling–sampling perspective', 'publication_year': 2012, 'publication_date': '2012-07-03', 'ids': {'openalex': 'https://openalex.org/W1977323747', 'doi': 'https://doi.org/10.1214/11-bjps144', 'mag': '1977323747'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1214/11-bjps144', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S3832347', 'display_name': 'Brazilian Journal of Probability and Statistics', 'issn_l': '0103-0752', 'issn': ['0103-0752', '2317-6199'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310312298', 'host_organization_name': 'Associação Brasileira de Estatística', 'host_organization_lineage': ['https://openalex.org/P4310312298'], 'host_organization_lineage_names': ['Associação Brasileira de Estatística'], 'type': 'journal'}, 'license': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'hybrid', 'oa_url': 'https://doi.org/10.1214/11-bjps144', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5068729286', 'display_name': 'Hedibert F. Lopes', 'orcid': 'https://orcid.org/0000-0002-8429-0353'}, 'institutions': [{'id': 'https://openalex.org/I40347166', 'display_name': 'University of Chicago', 'ror': 'https://ror.org/024mw5h28', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I40347166']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Hedibert F. Lopes', 'raw_affiliation_strings': [' University of Chicago - Booth School of Business'], 'affiliations': [{'raw_affiliation_string': ' University of Chicago - Booth School of Business', 'institution_ids': ['https://openalex.org/I40347166']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5108378754', 'display_name': 'Nicholas G. Polson', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I40347166', 'display_name': 'University of Chicago', 'ror': 'https://ror.org/024mw5h28', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I40347166']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Nicholas G. Polson', 'raw_affiliation_strings': [' University of Chicago - Booth School of Business'], 'affiliations': [{'raw_affiliation_string': ' University of Chicago - Booth School of Business', 'institution_ids': ['https://openalex.org/I40347166']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5008199122', 'display_name': 'Carlos M. Carvalho', 'orcid': 'https://orcid.org/0009-0007-0866-0678'}, 'institutions': [{'id': 'https://openalex.org/I4210089875', 'display_name': 'Risk Management Solutions (United Kingdom)', 'ror': 'https://ror.org/0089sg868', 'country_code': 'GB', 'type': 'company', 'lineage': ['https://openalex.org/I4210089875']}], 'countries': ['GB'], 'is_corresponding': False, 'raw_author_name': 'Carlos M. Carvalho', 'raw_affiliation_strings': ['Information, Risk and Operations Management'], 'affiliations': [{'raw_affiliation_string': 'Information, Risk and Operations Management', 'institution_ids': ['https://openalex.org/I4210089875']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.453, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 8, 'citation_normalized_percentile': {'value': 0.621802, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 83, 'max': 84}, 'biblio': {'volume': '26', 'issue': '4', 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10243', 'display_name': 'Statistical Methods and Bayesian Inference', 'score': 0.9998, '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'}}, 'topics': [{'id': 'https://openalex.org/T10243', 'display_name': 'Statistical Methods and Bayesian Inference', 'score': 0.9998, '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/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/T10136', 'display_name': 'Statistical Methods and Inference', 'score': 0.9979, '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/resampling', 'display_name': 'Resampling', 'score': 0.6173396}, {'id': 'https://openalex.org/keywords/gibbs-sampling', 'display_name': 'Gibbs sampling', 'score': 0.45706287}, {'id': 'https://openalex.org/keywords/marginal-likelihood', 'display_name': 'Marginal likelihood', 'score': 0.43165344}, {'id': 'https://openalex.org/keywords/predictive-inference', 'display_name': 'Predictive inference', 'score': 0.43014267}], 'concepts': [{'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.633942}, {'id': 'https://openalex.org/C150921843', 'wikidata': 'https://www.wikidata.org/wiki/Q1170431', 'display_name': 'Resampling', 'level': 2, 'score': 0.6173396}, {'id': 'https://openalex.org/C107673813', 'wikidata': 'https://www.wikidata.org/wiki/Q812534', 'display_name': 'Bayesian probability', 'level': 2, 'score': 0.5660434}, {'id': 'https://openalex.org/C142291917', 'wikidata': 'https://www.wikidata.org/wiki/Q4165283', 'display_name': 'Bayes factor', 'level': 4, 'score': 0.54488844}, {'id': 'https://openalex.org/C101112237', 'wikidata': 'https://www.wikidata.org/wiki/Q4874481', 'display_name': 'Bayesian statistics', 'level': 4, 'score': 0.54447925}, {'id': 'https://openalex.org/C191413810', 'wikidata': 'https://www.wikidata.org/wiki/Q17100952', 'display_name': 'Bayesian hierarchical modeling', 'level': 4, 'score': 0.5050364}, {'id': 'https://openalex.org/C160234255', 'wikidata': 'https://www.wikidata.org/wiki/Q812535', 'display_name': 'Bayesian inference', 'level': 3, 'score': 0.49660832}, {'id': 'https://openalex.org/C140779682', 'wikidata': 'https://www.wikidata.org/wiki/Q210868', 'display_name': 'Sampling (signal processing)', 'level': 3, 'score': 0.48267964}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.46678293}, {'id': 'https://openalex.org/C158424031', 'wikidata': 'https://www.wikidata.org/wiki/Q1191905', 'display_name': 'Gibbs sampling', 'level': 3, 'score': 0.45706287}, {'id': 'https://openalex.org/C12713177', 'wikidata': 'https://www.wikidata.org/wiki/Q1900281', 'display_name': 'Perspective (graphical)', 'level': 2, 'score': 0.44615817}, {'id': 'https://openalex.org/C207201462', 'wikidata': 'https://www.wikidata.org/wiki/Q182505', 'display_name': "Bayes' theorem", 'level': 3, 'score': 0.43382007}, {'id': 'https://openalex.org/C95923904', 'wikidata': 'https://www.wikidata.org/wiki/Q6760420', 'display_name': 'Marginal likelihood', 'level': 3, 'score': 0.43165344}, {'id': 'https://openalex.org/C917703', 'wikidata': 'https://www.wikidata.org/wiki/Q7239668', 'display_name': 'Predictive inference', 'level': 5, 'score': 0.43014267}, {'id': 'https://openalex.org/C57830394', 'wikidata': 'https://www.wikidata.org/wiki/Q278079', 'display_name': 'Posterior probability', 'level': 3, 'score': 0.42340985}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.41783556}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.3697157}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.33234385}, {'id': 'https://openalex.org/C162376815', 'wikidata': 'https://www.wikidata.org/wiki/Q2158281', 'display_name': 'Frequentist inference', 'level': 4, 'score': 0.23248607}, {'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': 2, 'locations': [{'is_oa': True, 'landing_page_url': 'https://doi.org/10.1214/11-bjps144', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S3832347', 'display_name': 'Brazilian Journal of Probability and Statistics', 'issn_l': '0103-0752', 'issn': ['0103-0752', '2317-6199'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310312298', 'host_organization_name': 'Associação Brasileira de Estatística', 'host_organization_lineage': ['https://openalex.org/P4310312298'], 'host_organization_lineage_names': ['Associação Brasileira de Estatística'], 'type': 'journal'}, 'license': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, {'is_oa': True, 'landing_page_url': 'http://projecteuclid.org/euclid.bjps/1341320248', 'pdf_url': 'https://projecteuclid.org/journals/brazilian-journal-of-probability-and-statistics/volume-26/issue-4/Bayesian-statistics-with-a-smile-A-resamplingsampling-perspective/10.1214/11-BJPS144.pdf', 'source': {'id': 'https://openalex.org/S4306400787', 'display_name': 'Project Euclid (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': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1214/11-bjps144', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S3832347', 'display_name': 'Brazilian Journal of Probability and Statistics', 'issn_l': '0103-0752', 'issn': ['0103-0752', '2317-6199'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310312298', 'host_organization_name': 'Associação Brasileira de Estatística', 'host_organization_lineage': ['https://openalex.org/P4310312298'], 'host_organization_lineage_names': ['Associação Brasileira de Estatística'], 'type': 'journal'}, 'license': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 25, 'referenced_works': ['https://openalex.org/W1503003940', 'https://openalex.org/W1513172823', 'https://openalex.org/W2014730874', 'https://openalex.org/W2022023686', 'https://openalex.org/W2033765726', 'https://openalex.org/W2041779820', 'https://openalex.org/W2042296034', 'https://openalex.org/W2043561051', 'https://openalex.org/W2057487175', 'https://openalex.org/W2062758445', 'https://openalex.org/W2073261834', 'https://openalex.org/W2075503097', 'https://openalex.org/W2077611006', 'https://openalex.org/W2082542916', 'https://openalex.org/W2083875149', 'https://openalex.org/W2099339563', 'https://openalex.org/W2131598171', 'https://openalex.org/W2137307912', 'https://openalex.org/W2144272899', 'https://openalex.org/W2148613679', 'https://openalex.org/W2168634963', 'https://openalex.org/W2332774781', 'https://openalex.org/W2497475754', 'https://openalex.org/W3121154744', 'https://openalex.org/W3125467856'], 'related_works': ['https://openalex.org/W4246698572', 'https://openalex.org/W4242493541', 'https://openalex.org/W4241966315', 'https://openalex.org/W3104776319', 'https://openalex.org/W2997438249', 'https://openalex.org/W2981461142', 'https://openalex.org/W2764892793', 'https://openalex.org/W2184215046', 'https://openalex.org/W1977323747', 'https://openalex.org/W1591629481'], 'abstract_inverted_index': {'In': [0], 'this': [1], 'paper': [2], 'we': [3], 'develop': [4], 'a': [5, 35, 53, 59, 68, 82], 'simulation-based': [6], 'approach': [7, 51, 66], 'to': [8], 'sequential': [9, 27, 60], 'inference': [10], 'in': [11, 52, 58], 'Bayesian': [12, 63], 'statistics.': [13], 'Our': [14], 'resampling–sampling': [15], 'perspective': [16], 'provides': [17, 67], 'draws': [18], 'from': [19], 'posterior': [20, 78], 'distributions': [21], 'of': [22, 29, 38, 62, 76, 84], 'interest': [23], 'by': [24], 'exploiting': [25], 'the': [26, 74], 'nature': [28], 'Bayes': [30], 'theorem.': [31], 'Predictive': [32], 'inferences': [33], 'are': [34, 42], 'direct': [36], 'byproduct': [37], 'our': [39, 50], 'analysis': [40], 'as': [41], 'marginal': [43], 'likelihoods': [44], 'for': [45, 73, 81], 'model': [46, 56], 'assessment.': [47], 'We': [48], 'illustrate': [49], 'hierarchical': [54], 'normal-means': [55], 'and': [57], 'version': [61], 'lasso.': [64], 'This': [65], 'simple': [69], 'yet': [70], 'powerful': [71], 'framework': [72], 'construction': [75], 'alternative': [77], 'sampling': [79], 'strategies': [80], 'variety': [83], 'commonly': [85], 'used': [86], 'models.': [87]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W1977323747', 'counts_by_year': [{'year': 2022, 'cited_by_count': 2}, {'year': 2021, 'cited_by_count': 1}, {'year': 2020, 'cited_by_count': 1}, {'year': 2018, 'cited_by_count': 1}, {'year': 2013, 'cited_by_count': 2}], 'updated_date': '2024-12-20T23:35:13.940284', 'created_date': '2016-06-24'}