{"created":"2023-05-15T16:36:52.828899+00:00","id":10076,"links":{},"metadata":{"_buckets":{"deposit":"0493855e-cae0-4c0f-8adc-2dc6d56829fe"},"_deposit":{"created_by":2,"id":"10076","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"10076"},"status":"published"},"_oai":{"id":"oai:nagasaki-u.repo.nii.ac.jp:00010076","sets":["82:87:88:764"]},"author_link":["40556","40557"],"item_3_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2012-03-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicPageEnd":"160","bibliographicPageStart":"149","bibliographicVolumeNumber":"91","bibliographic_titles":[{"bibliographic_title":"経営と経済"},{"bibliographic_title":"Journal of Business and Economics","bibliographic_titleLang":"en"}]}]},"item_3_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Suppose that X1,X2,... are conditionally i.i.d. random variables with\ndistribution Pθ given  ＝θ，where  is an unknown parameter. If Pθ\nis a normal distribution with mean θ and known variance σ2, and if the\nprior of  is chosen from the conjugate family N(μ,v2) or proportional\nto the Lebesgue measure, then it follows that the posterior distributions\ngiven X1,...,Xn obey a large deviation principle with a rate function. If\nPθ is a normal distribution with known mean and unknown precision θ,\nand if as a prior we choose the gamma distribution with parameters α\nand β or the improper distribution (1/θ)dθ，the Jeffereys' prior, then\nthe posterior distributions of  given X1,...,Xn are shown to satisfy a\nlarge deviation principle. The G  artner-Ellis theorem plays the key role\nto prove these large deviation principles for the posterior distributions.","subitem_description_type":"Abstract"}]},"item_3_description_64":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"經營と經濟, vol.91(4), pp.149-160; 2012","subitem_description_type":"Other"}]},"item_3_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"40557","nameIdentifierScheme":"WEKO"}],"names":[{"name":"式見, 拓仙"}]}]},"item_3_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"長崎大学経済学会"}]},"item_3_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"02869101","subitem_source_identifier_type":"ISSN"}]},"item_3_text_63":{"attribute_name":"出版者別言語","attribute_value_mlt":[{"subitem_text_value":"Economics Society of Nagasaki University"}]},"item_3_version_type_16":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shikimi, Takuhisa"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-12-22"}],"displaytype":"detail","filename":"keizai91_4_149.pdf","filesize":[{"value":"158.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"keizai91_4_149.pdf","url":"https://nagasaki-u.repo.nii.ac.jp/record/10076/files/keizai91_4_149.pdf"},"version_id":"230b36bf-ba5a-43c7-9b94-adb4c0c69ead"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"large deviations","subitem_subject_scheme":"Other"},{"subitem_subject":"posterior distributions","subitem_subject_scheme":"Other"},{"subitem_subject":"the G  artner-Ellis theorem","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Large Deviation Principles for Posterior Distributions of the Normal Parameters","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Large Deviation Principles for Posterior Distributions of the Normal Parameters"}]},"item_type_id":"3","owner":"2","path":["764"],"pubdate":{"attribute_name":"公開日","attribute_value":"2012-04-26"},"publish_date":"2012-04-26","publish_status":"0","recid":"10076","relation_version_is_last":true,"title":["Large Deviation Principles for Posterior Distributions of the Normal Parameters"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-16T01:31:21.036925+00:00"}