{"id":"https://openalex.org/W4388998429","doi":"https://doi.org/10.1007/978-981-99-6706-3_55","title":"A Hybrid Model for Forecasting Stock Prices Using Bayesian and LSTM","display_name":"A Hybrid Model for Forecasting Stock Prices Using Bayesian and LSTM","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388998429","doi":"https://doi.org/10.1007/978-981-99-6706-3_55"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-99-6706-3_55","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-99-6706-3_55","pdf_url":null,"source":{"id":"https://openalex.org/S4210172046","display_name":"Smart innovation, systems and technologies","issn_l":"2190-3018","issn":["2190-3018","2190-3026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Innovation, Systems and Technologies","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102732538","display_name":"Rohini Pinapatruni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138731","display_name":"ICFAI Foundation for Higher Education","ror":"https://ror.org/04p3pp808","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210138731"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rohini Pinapatruni","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India","institution_ids":["https://openalex.org/I4210138731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079927193","display_name":"Mohammed Faizan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138731","display_name":"ICFAI Foundation for Higher Education","ror":"https://ror.org/04p3pp808","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210138731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Faizan Mohammed","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India","institution_ids":["https://openalex.org/I4210138731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113054292","display_name":"Syed Anas Mohiuddin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138731","display_name":"ICFAI Foundation for Higher Education","ror":"https://ror.org/04p3pp808","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210138731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Syed Anas Mohiuddin","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India","institution_ids":["https://openalex.org/I4210138731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025191041","display_name":"Dheeraj Patel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138731","display_name":"ICFAI Foundation for Higher Education","ror":"https://ror.org/04p3pp808","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210138731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dheeraj Patel","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India","institution_ids":["https://openalex.org/I4210138731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102732538"],"corresponding_institution_ids":["https://openalex.org/I4210138731"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28873836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6003158092498779},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5850856304168701},{"id":"https://openalex.org/keywords/stock-price","display_name":"Stock price","score":0.5822333097457886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5779385566711426},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5674867630004883},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5660157203674316},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5131734013557434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45592808723449707},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.43634432554244995},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.4162246584892273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4007377028465271},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3510890007019043},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.24579325318336487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20427444577217102},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.20311012864112854},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1306622326374054},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.09044277667999268}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6003158092498779},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5850856304168701},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.5822333097457886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5779385566711426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5674867630004883},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5660157203674316},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5131734013557434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45592808723449707},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.43634432554244995},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.4162246584892273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4007377028465271},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3510890007019043},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.24579325318336487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20427444577217102},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.20311012864112854},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1306622326374054},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.09044277667999268},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-99-6706-3_55","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-99-6706-3_55","pdf_url":null,"source":{"id":"https://openalex.org/S4210172046","display_name":"Smart innovation, systems and technologies","issn_l":"2190-3018","issn":["2190-3018","2190-3026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Innovation, Systems and Technologies","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2295598076","https://openalex.org/W2999917590","https://openalex.org/W3017193407","https://openalex.org/W3043426275","https://openalex.org/W3095113854","https://openalex.org/W3124554734","https://openalex.org/W3175934715","https://openalex.org/W3181448069","https://openalex.org/W4210259535","https://openalex.org/W4210845370","https://openalex.org/W4236137412"],"related_works":["https://openalex.org/W4247388746","https://openalex.org/W2314720829","https://openalex.org/W3178576217","https://openalex.org/W4221063543","https://openalex.org/W4285794683","https://openalex.org/W4286256617","https://openalex.org/W4385195237","https://openalex.org/W4362673848","https://openalex.org/W4281799626","https://openalex.org/W4318676890"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}