42 citations · 237 across the 36 of their papers we have counts for
38 papers
Model-based sparse mixed-type PCA
Lauri Heinonen, Joni Virta
This work presents a new method for principal component analysis (PCA) of a mixed-type data consisting of continuous, binary, integer-valued and positive continuous variables. The…
Data anonymization in the presence of outliers via invariant coordinate selection
Katariina Perkonoja, Joni Virta
Protecting confidential data while preserving utility is particularly challenging when data sets contain outlying observations. Existing latent space anonymization methods, such as…
Evaluation metrics for temporal preservation in synthetic longitudinal patient data
Katariina Perkonoja, Parisa Movahedi, Antti Airola +2
This study introduces a set of metrics for evaluating temporal preservation in synthetic longitudinal patient data, defined as artificially generated data that mimic real patients'…
Asymptotic testing of covariance separability for matrix elliptical data
Joni Virta, Takeru Matsuda
We propose a new asymptotic test for the separability of a covariance matrix. The null distribution is valid in wide matrix elliptical model that includes, in particular, both matr…
New M-estimator of the leading principal component
Joni Virta, Una Radojicic, Marko Voutilainen
We study the minimization of the non-convex and non-differentiable objective function in . In particula…
Unsupervised linear discrimination using skewness
Una Radojicic, Klaus Nordhausen, Joni Virta
It is well-known that, in Gaussian two-group separation, the optimally discriminating projection direction can be estimated without any knowledge on the group labels. In this work,…