{"_buckets": {"deposit": "e60b13ca-eadc-4767-ad03-df7fe283afaa"}, "_deposit": {"id": "42405", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "42405"}, "status": "published"}, "_oai": {"id": "oai:repository.dl.itc.u-tokyo.ac.jp:00042405"}, "item_8_biblio_info_7": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2005-09", "bibliographicIssueDateType": "Issued"}, "bibliographicVolumeNumber": "CIRJE-F-369", "bibliographic_titles": [{"bibliographic_title": "Discussion paper series. CIRJE-F"}]}]}, "item_8_description_13": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_description": "application/pdf", "subitem_description_type": "Other"}]}, "item_8_description_5": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "This paper introduces new ways to construct probability integral transforms of random vectors that complement the approach of Diebold, Hahn, and Tay (1999) for evaluating multivariate conditional density forecasts. Our approach enables us to \"scan\" multivariate densities in various di.erent ways. A simple bivariate normal example is given that illustrates how \"scanning\" a multivariate density from particular angles leads to tests with no power or high power. An empirical example is also given that applies several di.erent probability integral transforms to specification testing of Engle\u0027s (2002) dynamic conditional correlation model for multivariate financial returns time series with multivariate normal and t errors.", "subitem_description_type": "Abstract"}]}, "item_8_description_6": {"attribute_name": "\u5185\u5bb9\u8a18\u8ff0", "attribute_value_mlt": [{"subitem_description": "\u672c\u6587\u30d5\u30a3\u30eb\u306f\u30ea\u30f3\u30af\u5148\u3092\u53c2\u7167\u306e\u3053\u3068", "subitem_description_type": "Other"}]}, "item_8_publisher_20": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u65e5\u672c\u7d4c\u6e08\u56fd\u969b\u5171\u540c\u30bb\u30f3\u30bf\u30fc"}]}, "item_8_relation_25": {"attribute_name": "\u95a2\u4fc2URI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "http://www.cirje.e.u-tokyo.ac.jp/research/dp/2005/2005cf369ab.html", "subitem_relation_type_select": "URI"}}]}, "item_8_source_id_10": {"attribute_name": "\u66f8\u8a8c\u30ec\u30b3\u30fc\u30c9ID", "attribute_value_mlt": [{"subitem_source_identifier": "AA11450569", "subitem_source_identifier_type": "NCID"}]}, "item_8_subject_15": {"attribute_name": "\u65e5\u672c\u5341\u9032\u5206\u985e\u6cd5", "attribute_value_mlt": [{"subitem_subject": "330", "subitem_subject_scheme": "NDC"}]}, "item_8_text_21": {"attribute_name": "\u51fa\u7248\u8005\u5225\u540d", "attribute_value_mlt": [{"subitem_text_value": "Center for International Research on the Japanese Economy"}]}, "item_8_text_34": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_text_value": "Discussion Paper"}]}, "item_8_text_4": {"attribute_name": "\u8457\u8005\u6240\u5c5e", "attribute_value_mlt": [{"subitem_text_value": "University of Tokyo"}]}, "item_access_right": {"attribute_name": "\u30a2\u30af\u30bb\u30b9\u6a29", "attribute_value_mlt": [{"subitem_access_right": "metadata only access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_14cb"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Ishida, Isao"}], "nameIdentifiers": [{"nameIdentifier": "97617", "nameIdentifierScheme": "WEKO"}]}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "Density forecast evaluation", "subitem_subject_scheme": "Other"}, {"subitem_subject": "multivariate conditional density", "subitem_subject_scheme": "Other"}, {"subitem_subject": "probability integral transform", "subitem_subject_scheme": "Other"}, {"subitem_subject": "multivariate GARCH", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "technical report", "resourceuri": "http://purl.org/coar/resource_type/c_18gh"}]}, "item_title": "Scanning Multivariate Conditional Densities with Probability Integral Transforms", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Scanning Multivariate Conditional Densities with Probability Integral Transforms"}]}, "item_type_id": "8", "owner": "1", "path": ["9/7435/7436", "62/7433/7434"], "permalink_uri": "http://hdl.handle.net/2261/2644", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2013-06-03"}, "publish_date": "2013-06-03", "publish_status": "0", "recid": "42405", "relation": {}, "relation_version_is_last": true, "title": ["Scanning Multivariate Conditional Densities with Probability Integral Transforms"], "weko_shared_id": null}