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Inferring ground truth from multi-annotator ordinal data: a probabilistic approach
ground truth multi-annotator ordinal data a probabilistic approach
2013/6/13
A popular approach for large scale data annotation tasks is crowdsourcing, wherein each data point is labeled by multiple noisy annotators. We consider the problem of inferring ground truth from noisy...
Estimation of latent variable models for ordinal data via fully exponential Laplace approximation
GLLVM Bartholomew response pattern parameters latent variable models Laplace
2011/6/17
Latent variable models represent a useful tool in the social sciences where the analyzed
constructs cannot be directly observed and, hence, they are not measurable. However, a set
of indicators rela...
Bivariate Ordinal Data in the Perspective of the Wisconsin Epidemiologic Study of Diabetic Retinopathy: Different Statistical Directions
Bivariate Ordinal Data Diabetic Retinopathy Different Statistical Directions
2009/9/17
Bivariate Ordinal Data in the Perspective of the Wisconsin Epidemiologic Study of Diabetic Retinopathy: Different Statistical Directions。
Multiple testing in ordinal data models
Admissibility chi-square test consistency contingency table full multinomial model independent Poisson model ordered categories
2009/9/16
Consider an R x C contingency table in which the categories are ordered. Multiple testing of the hypotheses that each local odds ratio is one is carried out. The methodology to perform the multiple te...