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To send a message to the list, you must be subscribed to it. Then you can send your message to [email protected] and every subscriber will receive it. If you are not currently subscribed, you can subscribe by sending a message to [email protected] with "subscribe impute" on the SUBJECT line. You will get a reply to this e-mail; this reply will ask you to respond by replying to it. (However, this fails to work on some systems, so you may need to FORWARD this message to the sender instead of REPLYing.) Sincerely, The list owner, T. Robert Harris Green Center for the Study of Science and Society University of Texas at Dallas Mail Station GC 21 P. O. Box 830688 Richardson TX 75083-0688 (972) 883-6410 -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.utsouthwestern.edu/pipermail/impute/attachments/20020117/f04a8eba/attachment.htm From John.Charlton <@t> ons.gov.uk Fri Jan 18 03:00:11 2002 From: John.Charlton <@t> ons.gov.uk ([email protected]) Date: Sun Jun 26 08:24:59 2005 Subject: IMPUTE: Announcement and Call for Papers Message-ID: <[email protected]> Announcement and Call for Papers DataClean 2002 29th - 31st May 2002, Jyvaskyla, Finland Aim This conference will be devoted to techniques for dealing with erroneous and missing data in large scale statistical data processing. Such data represent a fundamental problem for the data systems of official statistical agencies as well as private enterprises. In particular, the conference will focus on the identification and correction of errors and outliers in data and on imputation for missing data values. Although this topic is not a new one, the focus will be on recent developments in the application of computer intensive methods to these problems, particularly those based on the application of neural net and related methods, and their comparison with more established methods. Topics * Neural networks and related computer intensive classication methods for data editing and imputation * Modern robust techniques for outlier detection and correction. * Error localization with erronous observations. * Tree-based classifiers for data editing and imputation. * Bayesian methods for error detection and imputation. * Multiple imputation. * Graphical tools for data validation and checking. * Classical data editing and imputation methods. Call for Abstracts We invite abstracts of 200 to 300 words for contributed papers. We are especially interested in papers that present innovative methods. Also software demonstrations and evaluations are welcome. Your abstract (English) should include the presenter's name, affiliation, address, telephone and fax numbers, and e-mail address. The deadline for abstracts is March 4, 2002. Submissions can be made via DataClean 2000 website http://erin.mit.jyu.fi/dataclean or to Pasi Koikkalainen DataClean Organization Chair University of Jyvaskyla, Department of Mathematical Information Technology, P.O.Box 35, FIN-40351, Jyvaskyla, Finland. [email protected] Scientific Programme Committee Jim Austin (Univ. of York, UK), Giulio Barcaroli (ISTAT, Italian Statistical Institute), Raymond Chambers (Univ. of Southampton, UK) , John Charlton (Office for National Statistics, UK), Ton de Waal (Statistics Netherlands), Alex Gammerman (Royal Holloway University, UK), Beat Hulliger (Swiss Federal Statistical Office), Pasi Koikkalainen (University of Jyvaskyla), Phil Kokic (Insiders, Germany), Seppo Laaksonen (R&D of Department of Statistics Finland), Birger Madsen (Novo Nordisk, Denmark). Pascal Riviere (INSEE, France) For the latest data on the economy and society consult National Statistics at http://www.statistics.gov.uk ********************************************************************** Please Note: Incoming and outgoing email messages are routinely monitored for compliance with our policy on the use of electronic communications ********************************************************************** Legal Disclaimer : Any views expressed by the sender of this message are not necessarily those of the Office for National Statistics **********************************************************************
