Financial data and the skewed generalized T distribution
Management Science
Robust mixture modelling using the t distribution
Statistics and Computing
IEEE Transactions on Fuzzy Systems
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We present new, tractable methods to impute missing values based on conditional probability density functions that we estimate via copula and mixture models. Our methods exploit known analytical results concerning conditional distributions for the Arellano-Valle and Bolfarine's generalised t-distribution and fast, accurate quadrature methods. We also benchmark our approach on three financial/economic datasets (two of which are publicly available) and show that our methods outperform benchmark approaches on these data.