29 
- 31 
May 2002, Jyväskylä, Finland
This conference is 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 focus is 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.
Local Organization Committee
Pasi Koikkalainen (University of Jyväskylä, Organization Chair)
Sara Ahola (University of Jyväskylä)
Ismo Horppu (University of Jyväskylä)
Salme Kärkkäinen (University of Jyväskylä)
Seppo Laaksonen (R&D of Department of Statistics Finland)
Anssi Lensu (University of Jyväskylä)
Markku Mielityinen (University of Jyväskylä)
Antti Penttinen (University of Jyväskylä)
Jouni Raitamäki (University of Jyväskylä)
Scientific Programme Committee
John Charlton (Office for National Statistics, Conference Chair)
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)
Alex Gammerman (Royal Holloway University, UK)
Beat Hulliger (Swiss Federal Statistical Office)
Pasi Koikkalainen (University of Jyväskylä)
Phil Kokic (Insiders, Germany)
Seppo Laaksonen (R&D of Department of Statistics Finland)
Birger Madsen (Novo Nordisk, Denmark)
Pascal Riviere (INSEE, France)
Ton de Waal (Statistics Netherlands)
Conference program
INVITED PRESENTATIONS
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