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H.", "lastName": "Diks" }, { "creatorType": "author", "firstName": "D.", "lastName": "Higdon" }, { "creatorType": "author", "firstName": "B.", "lastName": "Robinson" }, { "creatorType": "author", "firstName": "J.", "lastName": "Hyman" } ], "abstractNote": "", "reportNumber": "", "reportType": "", "institution": "Citeseer", "place": "", "date": "2008", "seriesTitle": "", "seriesNumber": "", "pages": "", "DOI": "", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "0000", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2012-05-21T12:47:18Z", "dateModified": "2013-04-11T12:57:11Z" } }, { "key": "G5I82AGU", "version": 1, "library": { "type": "group", "id": 78663, "name": "MCMC", "links": { "alternate": { "href": "https://www.zotero.org/groups/mcmc", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/78663/items/G5I82AGU", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mcmc/items/G5I82AGU", "type": "text/html" } }, "meta": { "createdByUser": { "id": 27767, "username": "fccoelho", "name": "Flávio Codeço Coelho", "links": { "alternate": { "href": "https://www.zotero.org/fccoelho", "type": "text/html" } } }, "creatorSummary": "Andrieu and Thoms", "parsedDate": "2008", "numChildren": 0 }, "data": { "key": "G5I82AGU", "version": 1, "itemType": "journalArticle", "title": "A tutorial on adaptive MCMC", "creators": [ { "creatorType": "author", "firstName": "C.", "lastName": "Andrieu" }, { "creatorType": "author", "firstName": "J.", "lastName": "Thoms" } ], "abstractNote": "", "publicationTitle": "Statistics and Computing", "publisher": "", "place": "", "date": "2008", "volume": "18", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "343–373", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "0104", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2012-05-21T12:46:53Z", "dateModified": "2012-05-27T21:23:30Z" } }, { "key": "2FA3F84N", "version": 1, "library": { "type": "group", "id": 78663, "name": "MCMC", "links": { "alternate": { "href": "https://www.zotero.org/groups/mcmc", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/78663/items/2FA3F84N", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mcmc/items/2FA3F84N", "type": "text/html" } }, "meta": { "createdByUser": { "id": 27767, "username": "fccoelho", "name": "Flávio Codeço Coelho", "links": { "alternate": { "href": "https://www.zotero.org/fccoelho", "type": "text/html" } } }, "creatorSummary": "Haario et al.", "parsedDate": "2006", "numChildren": 0 }, "data": { "key": "2FA3F84N", "version": 1, "itemType": "journalArticle", "title": "DRAM: Efficient adaptive MCMC", "creators": [ { "creatorType": "author", "firstName": "Heikki", "lastName": "Haario" }, { "creatorType": "author", "firstName": "Marko", "lastName": "Laine" }, { "creatorType": "author", "firstName": "Antonietta", "lastName": "Mira" }, { "creatorType": "author", "firstName": "Eero", "lastName": "Saksman" } ], "abstractNote": "Abstract We propose to combine two quite powerful ideas that have recently appeared in the Markov chain Monte Carlo literature: adaptive\nMetropolis samplers and delayed rejection. The ergodicity of the resulting non-Markovian sampler is proved, and the efficiency\nof the combination is demonstrated with various examples. We present situations where the combination outperforms the original\nmethods: adaptation clearly enhances efficiency of the delayed rejection algorithm in cases where good proposal distributions\nare not available. Similarly, delayed rejection provides a systematic remedy when the adaptation process has a slow start.", "publicationTitle": "Statistics and Computing", "publisher": "", "place": "", "date": "Dezembro 01, 2006", "volume": "16", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "339-354", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1007/s11222-006-9438-0", "citationKey": "", "url": "http://dx.doi.org/10.1007/s11222-006-9438-0", "accessDate": "2010-04-09T15:00:34Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "DRAM", "language": "", "libraryCatalog": "SpringerLink", "callNumber": "0106", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2012-05-21T12:47:42Z", "dateModified": "2012-05-27T21:23:28Z" } } ]