Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation"

Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation", published in Bayesian Analysis. My discussion focuses on two main themes: Providing a more nuanced picture of the costs and benefits of joint models for record linkage and the "downstream ta...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Murray, Jared S
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Murray, Jared S
description Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation", published in Bayesian Analysis. My discussion focuses on two main themes: Providing a more nuanced picture of the costs and benefits of joint models for record linkage and the "downstream task" (i.e. whatever we might want to do with the linked and de-duplicated files), and how we should measure performance.
doi_str_mv 10.48550/arxiv.2009.00217
format Article
fullrecord <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2009_00217</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2009_00217</sourcerecordid><originalsourceid>FETCH-LOGICAL-a677-e6b0edc00590cfc54a5b23a834eef6a9597a500e7660172f36dbd2084080f1f53</originalsourceid><addsrcrecordid>eNotjz1rwzAYhLV0KGl_QKeK7HZfS5ZkjyFO2kCghSZjMLI-QNSxjGSnH7--iZPpOO6440HoKYM0LxiDFxl-3CklAGUKQDJxjw6b7uQGo3HlohpjdL7D3uL5Au87Z905WAd5NN8-fGHrA65MUo1965QcLlXZafzh-7G92k_3Z_AqDu44-fkDurOyjebxpjO0W692y7dk-_66WS62ieRCJIY3YLQCYCUoq1guWUOoLGhujOWyZKWQDMAIziETxFKuG02gyKEAm1lGZ-j5Ojvx1X04_4ff-sJZT5z0H0t8TWg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation"</title><source>arXiv.org</source><creator>Murray, Jared S</creator><creatorcontrib>Murray, Jared S</creatorcontrib><description>Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation", published in Bayesian Analysis. My discussion focuses on two main themes: Providing a more nuanced picture of the costs and benefits of joint models for record linkage and the "downstream task" (i.e. whatever we might want to do with the linked and de-duplicated files), and how we should measure performance.</description><identifier>DOI: 10.48550/arxiv.2009.00217</identifier><language>eng</language><subject>Statistics - Methodology</subject><creationdate>2020-09</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,777,882</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2009.00217$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2009.00217$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Murray, Jared S</creatorcontrib><title>Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation"</title><description>Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation", published in Bayesian Analysis. My discussion focuses on two main themes: Providing a more nuanced picture of the costs and benefits of joint models for record linkage and the "downstream task" (i.e. whatever we might want to do with the linked and de-duplicated files), and how we should measure performance.</description><subject>Statistics - Methodology</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotjz1rwzAYhLV0KGl_QKeK7HZfS5ZkjyFO2kCghSZjMLI-QNSxjGSnH7--iZPpOO6440HoKYM0LxiDFxl-3CklAGUKQDJxjw6b7uQGo3HlohpjdL7D3uL5Au87Z905WAd5NN8-fGHrA65MUo1965QcLlXZafzh-7G92k_3Z_AqDu44-fkDurOyjebxpjO0W692y7dk-_66WS62ieRCJIY3YLQCYCUoq1guWUOoLGhujOWyZKWQDMAIziETxFKuG02gyKEAm1lGZ-j5Ojvx1X04_4ff-sJZT5z0H0t8TWg</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Murray, Jared S</creator><scope>EPD</scope><scope>GOX</scope></search><sort><creationdate>20200901</creationdate><title>Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation"</title><author>Murray, Jared S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a677-e6b0edc00590cfc54a5b23a834eef6a9597a500e7660172f36dbd2084080f1f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Statistics - Methodology</topic><toplevel>online_resources</toplevel><creatorcontrib>Murray, Jared S</creatorcontrib><collection>arXiv Statistics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Murray, Jared S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation"</atitle><date>2020-09-01</date><risdate>2020</risdate><abstract>Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation", published in Bayesian Analysis. My discussion focuses on two main themes: Providing a more nuanced picture of the costs and benefits of joint models for record linkage and the "downstream task" (i.e. whatever we might want to do with the linked and de-duplicated files), and how we should measure performance.</abstract><doi>10.48550/arxiv.2009.00217</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.48550/arxiv.2009.00217
ispartof
issn
language eng
recordid cdi_arxiv_primary_2009_00217
source arXiv.org
subjects Statistics - Methodology
title Invited Discussion of "A Unified Framework for De-Duplication and Population Size Estimation"
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T05%3A52%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Invited%20Discussion%20of%20%22A%20Unified%20Framework%20for%20De-Duplication%20and%20Population%20Size%20Estimation%22&rft.au=Murray,%20Jared%20S&rft.date=2020-09-01&rft_id=info:doi/10.48550/arxiv.2009.00217&rft_dat=%3Carxiv_GOX%3E2009_00217%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true