Hannu Oja
Publications
- Combining Linear Dimension Reduction Estimates (2016) Recent Advances in Robust Statistics: Theory and Applications E. Liski, K. Nordhausen, H. Oja, A. Ruiz-Gazen
(A3 Refereed book chapter or chapter in a compilation book) - Discussion on "Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Problems" by Soren Johansen and Bent Nielsen (2016)
- Scandinavian Journal of Statistics
(B1 Non-refereed article in a scientific journal) - ICA and Stochastic Volatility Models (2016) Computer Data Analysis and Modeling: Theoretical and Applied Stochastics, Proceedings of the XI International Conference, Minsk, September 6-10, 2016 Markus Matilainen, Jari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen
(A4 Refereed article in a conference publication ) - ICtest: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction (2016) Klaus Nordhausen, Hannu Oja, David E. Tyler, Joni Virta
(I2 ICT program or software application ) - Influence Functions and Efficiencies of k-Step Hettmansperger–Randles Estimators for Multivariate Location and Regression (2016) Robust Rank-Based and Nonparametric Methods Taskinen S., Oja H.
(A3 Refereed book chapter or chapter in a compilation book) - Robust Correlation: Theory and Applications (2016) Georgy L. Shevlyakov, Hannu Oja
(C1 Refereed scientific book) - R-package tensorBSS: Blind Source Separation Methods for Tensor-Valued Observations (2016) Virta Joni, Li Bing, Nordhausen Klaus, Oja Hannu
(I2 ICT program or software application ) - Separation of Uncorrelated Stationary time series using Autocovariance Matrices (2016)
- Journal of Time Series Analysis
(A1 Refereed original research article in a scientific journal) - An Affine Equivariant Robust Second-Order BSS Method (2015)
- Lecture Notes in Computer Science
(A4 Refereed article in a conference publication ) - Blind Source Separation for Spatially Correlated Compositional Data (2015)
- Mathematical Geosciences
(A1 Refereed original research article in a scientific journal)



