Showing 1 - 10 of 1,142
analysis (PCA) is used as a dimensionality-reduction method, and a clustering algorithm is used to classify reconstruction … network, dimensionality reduction allows measuring of the extent to which the network's main connective features (i.e. the … structure) deviate from those regarded as typical. The key to dimensionality-reduction methods is the ability to reconstruct …
Persistent link: https://www.econbiz.de/10012545517
Persistent link: https://www.econbiz.de/10012318695
Persistent link: https://www.econbiz.de/10012622274
Summary We introduce a selection model-based multilevel imputation approach to be used within the fully conditional specification framework for multiple imputation. Concretely, we apply a censored bivariate probit model to describe binary variables assumed to be missing not at random. The first...
Persistent link: https://www.econbiz.de/10012245081
Persistent link: https://www.econbiz.de/10011885487
An alternative to using normally distributed random effects in modeling clustered binary and ordered responses is based on using a finite-mixture. This approach gives rise to a flexible class of generalized linear mixed models for item responses, multilevel data, and longitudinal data. A test of...
Persistent link: https://www.econbiz.de/10011274901
Persistent link: https://www.econbiz.de/10013445735
Persistent link: https://www.econbiz.de/10013357247
How many comparison dimensions individuals consider when they are asked to judge how similar two different objects are? I address individual heterogeneity in the number of comparison dimensions with data from a laboratory experiment. I estimate the smallest number of dimensions such that objects...
Persistent link: https://www.econbiz.de/10012059085
results depending on the assumed returns to scale and dimensionality. Our findings suggest to employ aggregate analyses of …
Persistent link: https://www.econbiz.de/10010263197