9 citations · 22 across the 3 of their papers we have counts for
7 papers
Notion of information and independent component analysis
Una Radojicic, Klaus Nordhausen, Hannu Oja
Partial orderings and measures of information for continuous univariate random variables with special roles of Gaussian and uniform distributions are discussed. The information mea…
Variable screening based on Gaussian Centered L-moments
Hyowon An, Kai Zhang, Hannu Oja +1
An important challenge in big data is identification of important variables. In this paper, we propose methods of discovering variables with non-standard univariate marginal distri…
Inference on the marginal distribution of clustered data with informative cluster size
Jaakko Nevalainen, Somnath Datta, Hannu Oja
In spite of recent contributions to the literature, informative cluster size settings are not well known and understood. In this paper, we give a formal definition of the problem a…
Nonparametric Analysis of Clustered Multivariate Data
Jaakko Nevalainen, Denis Larocque, Hannu Oja +1
There has been a wide interest to extend univariate and multivariate nonparametric procedures to clustered and hierarchical data. Traditionally, parametric mixed models have been u…
Joint Use of Third and Fourth Cumulants in Independent Component Analysis
Joni Virta, Klaus Nordhausen, Hannu Oja
The independent component model is a latent variable model where the components of the observed random vector are linear combinations of latent independent variables. The aim is to…
On asymptotics of ICA estimators and their performance indices
Pauliina Ilmonen, Klaus Nordhausen, Hannu Oja +1
Independent component analysis (ICA) has become a popular multivariate analysis and signal processing technique with diverse applications. This paper is targeted at discussing theo…