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Diagnosing missing always at random in multivariate data
Models for analysing multivariate datasets with missing values require strong, often
unassessable, assumptions. The most common of these is that the mechanism that created …
unassessable, assumptions. The most common of these is that the mechanism that created …
Modeling asymmetric relationships from symmetric networks
Many bilateral relationships requiring mutual agreement produce observable networks that
are symmetric (undirected). However, the unobserved, asymmetric (directed) network is …
are symmetric (undirected). However, the unobserved, asymmetric (directed) network is …
Food Security and Preferential Trade Agreements
LCSK Kersten - 2018 - repository.essex.ac.uk
Different disciplinary lenses condition the views on whether trade is generally seen as an
opportunity for or threat to food security. Until now there is no consensus on the (empirical) …
opportunity for or threat to food security. Until now there is no consensus on the (empirical) …
[ספר][B] Bayesian Dynamic Factor Analysis and Copula-Based Models for Mixed Data
HS Katesari - 2021 - search.proquest.com
Available statistical methodologies focus more on accommodating continuous variables,
however recently dealing with count data has received high interest in the statistical …
however recently dealing with count data has received high interest in the statistical …
[CITATION][C] Recent developments of copula-based models to handle missing data of mixed-type in multivariate analysis
J Wang - 2018 - The Australian National University