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The efficiency of risk sharing between UK and US: Robust estimation and calibration under market incompleteness
(Sociedade Brasileira de Econometria, 2020)
Self-Organizing Maps for Imputation of Missing Data in Incomplete Data Matrices
(Elsevier Science Bv, 2015)
Statistical analysis of controlled calibration model with replicates
(Taylor & Francis LtdAbingdonInglaterra, 2013)
Predictive factors for local recurrence and incomplete resection of early gastric cancer treated by endoscopic resection: A Western experience
(PULSUS GROUP INC, 2009)
BACKGROUND: Early gastric cancer (EGC) is defined as adenocarcinoma limited to the mucosa or submucosa regardless of lymph node involvement. Local EGC recurrence rates have been described ill Lip to 6% of cases. OBJECTIVES: ...
Caracterização do comportamento de falhas nas séries de precipitação do Rio Grande do Sul
(Universidade Federal de Santa MariaBrasilEngenharia AmbientalUFSMPrograma de Pós-Graduação em Engenharia AmbientalCentro de Tecnologia, 2021-03-11)
The automatic weather stations provide hourly information over pluviometric
precipitation, and it is recurrent the occurrence of missing data in these data series. This
situation compromise the data analysis, since it ...
The H-2-control for jump linear systems: cluster observations of the Markov state
(Pergamon-elsevier Science LtdOxfordInglaterra, 2002)
Influence diagnostics in linear and nonlinear mixed-effects models with censored data
(Elsevier Science BvAmsterdamHolanda, 2013)
Learning from Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding
(IEEE, 2021)
In this paper, the problem of training a classifier on a dataset with incomplete features is addressed. We assume that different subsets of features (random or structured) are available at each data instance. This situation ...