Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2130974430', 'doi': 'https://doi.org/10.1007/978-1-4612-1880-7_16', 'title': 'Some Estimation Problems in Infinite Dimensional Gaussian White Noise', 'display_name': 'Some Estimation Problems in Infinite Dimensional Gaussian White Noise', 'publication_year': 1997, 'publication_date': '1997-01-01', 'ids': {'openalex': 'https://openalex.org/W2130974430', 'doi': 'https://doi.org/10.1007/978-1-4612-1880-7_16', 'mag': '2130974430'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1007/978-1-4612-1880-7_16', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306463937', 'display_name': 'Springer eBooks', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/P4310319965', 'host_organization_name': 'Springer Nature', 'host_organization_lineage': ['https://openalex.org/P4310319965'], 'host_organization_lineage_names': ['Springer Nature'], 'type': 'ebook platform'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'book-chapter', 'type_crossref': 'book-chapter', '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/A5043204448', 'display_name': 'И. А. Ибрагимов', 'orcid': 'https://orcid.org/0000-0003-1390-3228'}, 'institutions': [], 'countries': ['RU'], 'is_corresponding': False, 'raw_author_name': 'I. Ibragimov', 'raw_affiliation_strings': ['Inst. of Math, St. Petersburg, Russia'], 'affiliations': [{'raw_affiliation_string': 'Inst. of Math, St. Petersburg, Russia', 'institution_ids': []}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5061902949', 'display_name': 'R. Z. Khas’minskiĭ', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I185443292', 'display_name': 'Wayne State University', 'ror': 'https://ror.org/01070mq45', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I185443292']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'R. Khasminskii', 'raw_affiliation_strings': ['Department of Mathematics,Wayne State University'], 'affiliations': [{'raw_affiliation_string': 'Department of Mathematics,Wayne State University', 'institution_ids': ['https://openalex.org/I185443292']}]}], 'countries_distinct_count': 2, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 2.679, 'has_fulltext': False, 'cited_by_count': 13, 'citation_normalized_percentile': {'value': 0.929707, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 80, 'max': 81}, 'biblio': {'volume': None, 'issue': None, 'first_page': '259', 'last_page': '274'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10067', 'display_name': 'Theory and Applications of Option Pricing Models', 'score': 0.9996, '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'}}, 'topics': [{'id': 'https://openalex.org/T10067', 'display_name': 'Theory and Applications of Option Pricing Models', 'score': 0.9996, '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/T10282', 'display_name': 'Modeling and Forecasting Financial Volatility', 'score': 0.9891, '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/T10688', 'display_name': 'Image Denoising Techniques and Algorithms', 'score': 0.9777, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, '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/gaussian-noise', 'display_name': 'Gaussian Noise', 'score': 0.595843}, {'id': 'https://openalex.org/keywords/white', 'display_name': 'White (mutation)', 'score': 0.45642775}], 'concepts': [{'id': 'https://openalex.org/C112633086', 'wikidata': 'https://www.wikidata.org/wiki/Q381287', 'display_name': 'White noise', 'level': 2, 'score': 0.88183147}, {'id': 'https://openalex.org/C169334058', 'wikidata': 'https://www.wikidata.org/wiki/Q353292', 'display_name': 'Additive white Gaussian noise', 'level': 3, 'score': 0.7658999}, {'id': 'https://openalex.org/C4199805', 'wikidata': 'https://www.wikidata.org/wiki/Q2725903', 'display_name': 'Gaussian noise', 'level': 2, 'score': 0.730531}, {'id': 'https://openalex.org/C163716315', 'wikidata': 'https://www.wikidata.org/wiki/Q901177', 'display_name': 'Gaussian', 'level': 2, 'score': 0.5924462}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.5633592}, {'id': 'https://openalex.org/C28826006', 'wikidata': 'https://www.wikidata.org/wiki/Q33521', 'display_name': 'Applied mathematics', 'level': 1, 'score': 0.5036573}, {'id': 'https://openalex.org/C99498987', 'wikidata': 'https://www.wikidata.org/wiki/Q2210247', 'display_name': 'Noise (video)', 'level': 3, 'score': 0.5022962}, {'id': 'https://openalex.org/C56273599', 'wikidata': 'https://www.wikidata.org/wiki/Q3122841', 'display_name': 'White (mutation)', 'level': 3, 'score': 0.45642775}, {'id': 'https://openalex.org/C121864883', 'wikidata': 'https://www.wikidata.org/wiki/Q677916', 'display_name': 'Statistical physics', 'level': 1, 'score': 0.41283366}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.32701463}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.31772536}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.3142207}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.23766819}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.14462459}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.13501963}, {'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/C115961682', 'wikidata': 'https://www.wikidata.org/wiki/Q860623', 'display_name': 'Image (mathematics)', 'level': 2, '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/C104317684', 'wikidata': 'https://www.wikidata.org/wiki/Q7187', 'display_name': 'Gene', 'level': 2, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1007/978-1-4612-1880-7_16', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306463937', 'display_name': 'Springer eBooks', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/P4310319965', 'host_organization_name': 'Springer Nature', 'host_organization_lineage': ['https://openalex.org/P4310319965'], 'host_organization_lineage_names': ['Springer Nature'], 'type': 'ebook platform'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'score': 0.46, 'id': 'https://metadata.un.org/sdg/13', 'display_name': 'Climate action'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 18, 'referenced_works': ['https://openalex.org/W1535258871', 'https://openalex.org/W1537906002', 'https://openalex.org/W1542004730', 'https://openalex.org/W1555033159', 'https://openalex.org/W1970446082', 'https://openalex.org/W1998539425', 'https://openalex.org/W2004157828', 'https://openalex.org/W2014667970', 'https://openalex.org/W2028426770', 'https://openalex.org/W2032027532', 'https://openalex.org/W2056963858', 'https://openalex.org/W2142901448', 'https://openalex.org/W2798679239', 'https://openalex.org/W2989448192', 'https://openalex.org/W3216034703', 'https://openalex.org/W4235461144', 'https://openalex.org/W4237523781', 'https://openalex.org/W4300475775'], 'related_works': ['https://openalex.org/W2353656796', 'https://openalex.org/W2242778450', 'https://openalex.org/W2130974430', 'https://openalex.org/W2074565401', 'https://openalex.org/W2011915004', 'https://openalex.org/W1974392290', 'https://openalex.org/W1970319972', 'https://openalex.org/W1967187784', 'https://openalex.org/W1911817635', 'https://openalex.org/W1607924090'], 'abstract_inverted_index': None, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2130974430', 'counts_by_year': [{'year': 2022, 'cited_by_count': 1}, {'year': 2017, 'cited_by_count': 1}, {'year': 2016, 'cited_by_count': 2}, {'year': 2014, 'cited_by_count': 1}, {'year': 2012, 'cited_by_count': 1}], 'updated_date': '2024-09-10T03:00:23.053327', 'created_date': '2016-06-24'}