Program

MULTIPLE IMPUTATION (Thursday 30th of May)

11:00:

The effect of item-nonresponse and multiple imputation of missing data on the estimation of productivity using establishment panel data
Susanne Raessler

11:30:

Examples of multiple imputation in large-scale surveys
N. T. Longford, De Montfort University, Leicester, UK

12:00:

Handling missing data by multiple imputations in the analysis of Women Prevalence of Cancer
Ula A. Nur

EDITING AND IMPUTATION SYSTEMS (Thursday 30th of May)

13:30:

CANadian Census Edit and Imputation System
Michael Bankier and Paul Poirier

14:00:

A high performance scalable imputation system
M. Weeks, K. Lees, S. O'Keefe, and J. Austin

14:30:

Presentation of the INSPECTOR project
Gregory Farmakis and Photis Stavropoulos

15:30:

Unified environment for data production and data analysis
Pasi Koikkalainen, Ismo Horppu

16:00:

Algorithms for Automatic Error Localisation and Modification
Ton de Waal

16:30:

Combining Editing and Imputation methods in Household surveys: an experimental application on Census data.
Antonia Manzari

17:00:

How to deal with ineffective edits in probabilistic editing algorithms: the EUREDIT experience on bussiness data
M.Di Zio, O.Luzi, U.Guarnera

IMPUTATION (Thursday 30th of May)

13:30:

Bayesian Networks for Imputation in Official Statistics: A case study
Lucia Coppola, Marco Di Zio, Orietta Luzi, Alessandra Ponti, Mauro Scanu

14:00:

Coupling neural networks and predictive matching for flexible imputation
Fernando TUSELL

14:30:

Imputation Methods for Estimating Pay Distributions from Household Survey Data
Gabriele Beissel and Chris Skinner

15:30:

Classical and Neural Approaches for imputation
Pasi Piela and Seppo Laaksonen

16:00:

The development of a donor imputation system
Heather Wagstaff and Nargis Rahman

16:30:

Tree-based Classifiers for Conditional Missing Data Incremental Imputation
Roberta Siciliano

OUTLIER DETECTION (Friday 31st of May)

11:00:

Using robust tree-based methods for outlier and error detection
Ray Chambers, Xinqiang Zhao, and Adao Hentges

11:30:

Detecting Multivariate Outliers in Incomplete Survey Data with the Epidemic Algorithm
Beat Hulliger and Cédric Béguin

12:00:

Detecting Multivariate Outliers in Incomplete Survey Data with the BACON-EM algorithm
Cédric Béguin and Beat Hulliger

NEURAL NETWORKS (Friday 31st of May)

11:00:

Edit and Imputation using a binary neural network
K. Lees, S. O'Keefe, and J. Austin

11:30:

Kernel Methods for the Missing Data Problem
Hugh Mallinson, Alex Gammerman

12:00:

Neural networks for Editing and Imputation
Pasi Koikkalainen

SELECTIVE EDITING (Friday 31st of May)

13:30:

Development of a Graphically Oriented Macro-Editing Analysis System for NASS Surveys
Dale Atkinson

14:00:

Developing selective editing methodology for surveys with varying characteristics
Pam Tate, Office for National Statistics

14:30:

A Technical Framework for Input Significance Editing / The Application of Output Statistical Editing
Keith Farwell

15:30:

Selective editing by means of a plausiblity indicator
Jeffrey Hoogland

16:00:

Demonstration of The Graphical Editing and Analysis Query System
Paula Weir, U.S. Department of Energy, EIA

16:30:

Stopping criterion: a way of optimising data editing and assessing its minimal cost
Pascal Rivière, INSEE