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Classification Uncertainty of Multiple Imputed Data

2015 IEEE Symposium Series on Computational Intelligence, 2015
Every classification model contains uncertainty. This uncertainty can be distributed evenly or into certain areas of feature space. In regular classification tasks, the uncertainty can be estimated from posterior probabilities. On the other hand, if the data set contains missing values, not all classifiers can be used directly.
Tuomo Alasalmi   +3 more
openaire   +2 more sources

IMPUTING MISSING DATA

Journal of the American Academy of Child & Adolescent Psychiatry, 2004
Calvin D, Croy, Douglas K, Novins
openaire   +2 more sources

An Interactive Data Imputation System

2022
Yangyang Wu   +5 more
openaire   +2 more sources

Imputation of the Missing Data

2013
We may consider the existence of missing observations as unimportant, considering that the risk of misunderstanding is negligible. The surveyor assumes some model that allows adequately explaining the variable of interest. In such cases, we are able to predict the unknown values and to plug them into some estimator.
openaire   +1 more source

[Imputation of missing data].

Nederlands tijdschrift voor geneeskunde, 2013
In medical research missing data are sometimes inevitable. Different missingness mechanisms can be distinguished: (a) missing completely at random; (b) missing by design; (c) missing at random, and (d) missing not at random. If participants with missing data are excluded from statistical analyses, this can lead to biased study results and loss of ...
Ralph C A, Rippe   +2 more
openaire   +1 more source

Multiple imputation with missing data indicators

Statistical Methods in Medical Research, 2021
Lauren J Beesley, Allison W. Kurian
exaly  

An Experimental Survey of Missing Data Imputation Algorithms

IEEE Transactions on Knowledge and Data Engineering, 2022
Lu Chen, Xiaoye Miao, Yunjun Gao
exaly  

How Many Imputations Do You Need? A Two-stage Calculation Using a Quadratic Rule

Sociological Methods and Research, 2020
Paul T von Hippel
exaly  

Imputation of Missing Network Data

2017
Huisman, Mark, Krause, Robert W.
openaire   +1 more source

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