129 citations · 222 across the 25 of their papers we have counts for
3 papers · 1 filter
Cauchy robust principal component analysis with applications to high-deimensional data sets
Ayisha Fayomi, Yannis Pantazis, Michail Tsagris +1
Principal component analysis (PCA) is a standard dimensionality reduction technique used in various research and applied fields. From an algorithmic point of view, classical PCA ca…
Inference for Network Count Time Series with the R Package PNAR
Mirko Armillotta, Michail Tsagris, Konstantinos Fokianos
We introduce a new R package useful for inference about network count time series. Such data are frequently encountered in statistics and they are usually treated as multivariate t…
Modelling structural zeros in compositional data via a zero-censored multivariate normal model
Michail Tsagris
Compositional data are multivariate data constrained to lie within the simplex. When zero values are present, most methods fail to apply unless a zero value replacement is performe…