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Publications


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Books:

1. Nordhausen, K. and Taskinen, S. (editors) (2015): Modern Nonparametric, Robust and Multivariate Methods. Festschrift in Honour of Hannu Oja, Springer.

Peer reviewed articles:

60. Virta, J., Li, B., Nordhausen, K. and Oja, H. (2017): Independent Component Analysis for Tensor-Valued Data. Journal of Multivariate Analysis, 162, 172-192.

59. Matilainen, M., Croux, C., Nordhausen, K. and Oja, H. (2017): Supervised Dimension Reduction for Multivariate Time Series.  Econometrics and Statistics, 4, 57-69.

58. Virta, J. and Nordhausen, K. (2017): Blind Source Separation of Tensor-Valued Time Series. Signal Processing, 141, 204-216.

57. Nordhausen, K., Oja, H., Tyler, D.E. and Virta, J. (2017): Asymptotic and Bootstrap Tests for the Dimension of the Non-Gaussian Subspace. Signal Processing Letters, 24, 887-891.

56. Matilainen, M., Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2017): On Independent Component Analysis and Stochastic Volatility Models. Austrian Journal of Statistics, 46, 57-66.

55. Fischer, D., Honkatukia, M., Tuiskula-Haavisto, M., Nordhausen, K., Cavero, D., Preisinger, R. and Vilkki, J. (2017): Subgroup Detection in Genotype Data Using Invariant Coordinate Selection. BMC Bioinformatics, 18, 173.

54. Virta, J. and Nordhausen, K. (2017): On the Optimal Nonlinearities for Gaussian Mixtures in FastICA. In Tichavsky P., Babaie-Zadeh M., Michel O. and Thirion-Moreau N. (editors) “Latent Variable Analysis and Signal Separation”, LNCS 10169, 427-437, Springer, Cham.

53. Lietzen, N., Nordhausen, K. and Ilmonen, P. (2017): Complex Valued Robust Multidimensional SOBI. In Tichavsky P., Babaie-Zadeh M., Michel O. and Thirion-Moreau N. (editors) “Latent Variable Analysis and Signal Separation”, LNCS 10169, 131-140, Springer, Cham.

52. Miettinen, J., Nordhausen, K. and Taskinen, S. (2017): Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp. Journal of Statistical Software, 76, 1-31. link

51. Miettinen, J., Nordhausen, K., Oja, H., Taskinen, S. and Virta, J. (2017): The Squared Symmetric FastICA Estimator. Signal Processing, 131, 402-411.

50. Virta, J., Taskinen, S. and Nordhausen, K. (2016): Applying Fully Tensorial ICA to fMRI Data. In the Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6.

49. Miettinen, J., Nordhausen, K., Taskinen, S. and Tyler, D.E. (2016): On the Computation of Symmetrized M-Estimators of Scatter. In Agostinelli, C., Basu, A., Filzmoser, P. and Mukherje, D. (editors) “Recent Advances in Robust Statistics: Theory and Applications”, 131-149, Springer India, New Delhi.

48. Liski, E., Nordhausen, K., Oja, H. and Ruiz-Gazen, A. (2016): Combining Linear Dimension Reduction Estimates. In Agostinelli, C., Basu, A., Filzmoser, P. and Mukherje, D. (editors) “Recent Advances in Robust Statistics: Theory and Applications”, 151-167, Springer India, New Delhi.

47. Matilainen, M., Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2016): ICA and Stochastic Volatility Models. In Aivazian, S., Filzmoser, P. and Kharin, Y. : “Proceedings of the XI International Conference on Computer Data Analysis and Modeling”, 30-37, Publishing Center of BSU, Minsk.

46. Lietzen, N., Nordhausen, K. and Ilmonen, P. (2016): Minimum Distance Index for Complex Valued ICA. Statistics and Probability Letters, 118, 100-106.

45. Tahvanainen, A., Tikkakoski, A., Koskela, J., Nordhausen, K., Viitala, J., Leskinen, M., Kähönen, M., Kööbi, T., Uito, M., Viik, J., Mustonen, J. and Pörsti, I. (2016) : The Type of the Functional Cardiovascular Response to Upright Posture is Associated With Arterial Stiffness: A Cross-Sectional Study in 470 Volunteers. BMC Cardiovascular Disorders, 16, 1-12.

44. Taskinen, S., Miettinen, J. and Nordhausen, K. (2016): A More Effcient Second Order Blind Identification Method for Separation of Uncorrelated Stationary Time Series. Statistics and Probability Letters, 116, 121-126.

43. Miettinen, J., Illner, K., Nordhausen, K., Oja, H., Taskinen, S. and Theis, F.J. (2016): Separation of Uncorrelated Stationary Time Series Using Autocovariance Matrices.  Journal of Time Series Analysis, 37, 337-354.

42. Dümbgen, L., Nordhausen, K. and Schuhmacher, H. (2016): New Algorithms for M-estimation of Multivariate Location and Scatter. Journal of Multivariate Analysis, 144, 200-217.

41. Fischer, D., Nordhausen, K. and Taskinen, S. (2015): Publication and Coauthorship Networks of Hannu Oja. In Nordhausen, K. and Taskinen, S. (editors) “Modern Nonparametric, Robust and Multivariate Methods. Festschrift in Honour of Hannu Oja”, 7-27, Springer.

40. Ilmonen, P., Nordhausen, K., Oja, H. and Theis, F.J. (2015): An Affine Equivariant Robust Second Order Blind Source Separation Method. In Vincent, E., Yeredor, A., Koldovsky, Z. and Tichavsky, P. (editors) “Latent Variable Analysis and Signal Separation”, LNCS 9237, 328-335, Springer.

39. Nordhausen, K., Oja, H. and Pärssinen, O. (2015): Mixed Effects Regression Splines to Model Myopia Data. Journal of Biometrics and Biostatistics, 6, 239. pdf

38. Nordhausen, K. and Tyler, D.E. (2015): A Cautionary Note on Robust Covariance Plug-in Methods. Biometrika, 102, 573-588.

37. Nordhausen, K., Oja, H., Filzmoser, P. and Reimann, C. (2015): Blind Source Separation for Spatially Correlated Compositional Data. Mathematical Geosciences, 47, 753-770.

36. Miettinen, J., Taskinen, S., Nordhausen, K. and Oja, H. (2015): Fourth Moments and Independent Component Analysis.  Statistical Science, 30, 372-390.

35. Hautaniemi, E., Tikkakoski, A., Tahvanainen A., Nordhausen, K., Kähönen, M., Mattsson, T., Luhtala, S., Turpeinen, A., Vapaatalo, H., Korpela, R. and Pörsti, I. (2015):  Effect of Fermented Milk Product Containing Lactotripeptides and Plant Sterol Esters on Haemodynamics in Subjects with Metabolic Syndrome – a Randomized, Double-blinded, Placebo-controlled Study. British Journal of Nutrition, 114, 376-386.

34. Haltia, O., Törmänen, S., Eräranta, A., Jokihaara, J., Nordhausen, K., Rysä, J., Ruskoaho, H., Tikkanen, I., Mustonen, J. and Pörsti, I.  (2015):  Vasopeptidase Inhibition Corrects Structure and Function of Small Arteries in Experimental Renal Insufficiency. Journal of Vascular Research, 52, 94-102.

33. Matilainen, M., Nordhausen, K. and Oja, H. (2015): New Independent Component Analysis Tools for Time Series. Statistics and Probability Letters, 105, 80-87.

32. Illner, K., Miettinen, J., Fuchs, C., Taskinen, S., Nordhausen, K., Oja, H. and Theis, F.J. (2015): Model Selection Using Limiting Distributions of Second-order Source Separation Algorithms. Signal Processing, 113, 95-103.

31. Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2014): Deflation-based FastICA with Adaptive Choices of Nonlinearities. IEEE Transaction on Signal Processing, 62, 5716-5724.

30. Liski, E., Nordhausen, K. and Oja, H. (2014): Supervised Invariant Coordinate Selection. Statistics: A Journal of Theoretical and Applied Statistics, 48, 711-731.

29. Nordhausen, K. (2014): On Robustifying Some Second Order Blind Source Separation Methods for Nonstationary Time Series. Statistical Papers, 55, 141-156.

28. Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2014): Deflation-based Separation of Uncorrelated Stationary Time Series. Journal of Multivariate Analysis, 123, 214-227.

27. Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2013): Fast Equivariant JADE. In the Proceedings of 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 6153-6157.

26. Oja, H. and Nordhausen, K. (2012): Independent Component Analysis. In El-Shaarawi, A.-H. and Piegorsch, W. (editors) “Encyclopedia of Environmetrics”, 2nd Edition, 1352-1360, Chichester, UK.

25. Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2012): Statistical Properties of a Blind Source Separation Estimator for Stationary Time Series.  Statistics & Probability Letters, 82, 1865-1873.

24. Nordhausen, K., Gutch, H. W., Oja, H. and Theis, F.J. (2012): Joint Diagonalization of Several Scatter Matrices for ICA. In Theis, F., Cichocki, A., Yeredor, A. and Zibulevsky, M. (editors) “Latent Variable Analysis and Signal Separation”, LNCS 7191, 172-179, Springer, Berlin Heidelberg.

23. Tahvanainen, A., Tikkakoski, A., Leskinen, M., Nordhausen, K., Kähönen, M., Kööbi, T., Mustonen, J. and Pörsti, I. (2012): Supine and Upright Haemodynamic Effects of Sublingual Nitroglycerin and Inhaled Salbutamol – a Double-blind, Placebo-controlled, Randomized Study. Journal of Hypertension, 30(2), 297-306.

22. Nordhausen, K. and Oja, H. (2011): Discussion on the paper “The Asymptotic Efficiency of the Spatial Median for Elliptically Symmetric Distributions” by Andrew Magyar and David E. Tyler. Sankhya, Series B, 73, 188-191.

21. Nordhausen, K., Ilmonen, P., Mandal, A., Oja, H. and Ollila, E. (2011): Deflation-based FastICA Reloaded. In the Proceedings of “19th European Signal Processing Conference 2011 (EUSIPCO 2011)”, 1854-1858. link

20. Nordhausen, K. and Oja, H. (2011): Scatter Matrices with Independent Block Property and ISA. In the Proceedings of “19th European Signal Processing Conference 2011 (EUSIPCO 2011)”, 1738-1742. link

19. Nordhausen, K. and Oja, H. (2011): Multivariate L1 Methods: The package MNM. Journal of Statistical Software, 43(5), 1-28. link

18. Nordhausen, K., Ollila, E. and Oja, H. (2011): On the Performance Indices of ICA and Blind Source Separation. In the Proceedings of “2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2011)”, 486-490.

17. Nordhausen, K. and Oja, H. (2011): Independent Subspace Analysis using Three Scatter Matrices. Austrian Journal of Statistics, 40 (1&2), 93-101. link

15. Tahvanainen, A., Koskela, J., Leskinen, M., Ilveskoski, E., Nordhausen, K., Kähönen, M., Kööbi, T., Mustonen, J. and Pörsti, I. (2011): Reduced Systemic Vascular Resistance in Healthy Volunteers with Presyncopal Symptoms During Nitrate-Stimulated Tilt-Table Test. British Journal of Clinical Pharmacology, 71, 41-51.

15. Nordhausen, K., Oja, H. and Ollila, E. (2011): Multivariate Models and the First Four Moments. In Hunter, D.R., Richards, D.S.R. and Rosenberger, J.L. (editors) “Nonparametric Statistics and Mixture Models:  A Festschrift in Honor of Thomas P. Hettmansperger”, 267-287, World Scientific, Singapore.

14. Möttönen, J., Nordhausen, K. and Oja, H. (2010): Asymptotic Theory of the Spatial Median. In Antoch, J., Huskova, M. and Sen, P.K. (editors) “Nonparametrics and Robustness in Modern Statistical Inference and Time Series Analysis: A Festschrift in Honor of Professor Jana Jureckova”, 182–193, IMS Collections, Vol. 7. link

13. Ilmonen, P., Nordhausen, K., Oja, H. and Ollila, E. (2010): A New Performance Index for ICA: Properties, Computation and Asymptotic Analysis. In Vigneron, V., Zarzoso, V., Moreau, E., Gribonval, R. and Vincent, E. (editors) “Latent Variable Analysis and Signal Separation”, LNCS 6365, 229-236, Springer, Heidelberg.

12. Nordhausen, K. and Oja, H.  (2010): Three Scatter Matrices and Independent Subspace Analysis. In Aivazian, S. , Filzmoser, P. and Kharin, Y. (editors) “Proceedings of the 9th International Conference on Computer Data Analysis and Modeling”, 93-100, Minsk Publishing Center BSU, Minsk.

11. Puolakka, P.A.E., Rorarius, M.G.F., Roviola, M., Puolakka, T.J.S., Nordhausen, K. and Lindgren, L. (2010): Persistent Pain Following Knee Arthroplasty. European Journal of Anaesthesiology, 27, 455-460.

10. Tahvanainen, A., Leskinen, M., Koskela, J., Ilveskoski, E., Nordhausen, K., Oja, H., Kähönen, M., Kööbi, T., Mustonen, J. and Pörsti, I. (2009): Ageing and Cardiovascular Responses to Head-Up Tilt in Healthy Subjects. Atherosclerosis, 207, 445-451.

9. Nordhausen, K., Oja, H. and Paindaveine, D. (2009): Signed-Rank Tests for Location in the Symmetric Independent Component Model. Journal of Multivariate Analysis, 100(5), 821-834.

8. Nordhausen, K., Oja, H. and Tyler, D.E. (2008): Tools for Exploring Multivariate Data: The Package ICS. Journal of Statistical Software, 28(6), 1-31. link

7. Nordhausen, K., Oja, H. and Ollila, E. (2008): Robust Independent Component Analysis Based on Two Scatter Matrices. Austrian Journal of Statistics, 37(1), 91-100. link

6. Nordhausen, K., Oja, H. and Ollila, E. (2007): Robust ICA Based on Two Scatter Matrices. In Aivazian, S. , Filzmoser, P. and Kharin, Y. (editors) “Proceedings of the 8th International Conference on Computer Data Analysis and Modeling”, 84-91, Minsk Publishing Center BSU, Minsk.

5. Nordhausen, K. and Nummi, T. (2007): Estimation of the Diameter Distribution of a Stand Marked for Cutting Using Finite Mixtures. Canadian Journal of Forest Research, 37(4), 817-824.

4. Nordhausen, K. and Sinha, B.K. (2006): ML Estimation for a Pareto Distribution of the Second Kind in a Sequential Design. Journal of the Indian Statistical Association, 44(1), 61-72.

3. Kukkasjärvi, P., Nordhausen, K. and Malmivaara, A. (2006): Reanalysis of Systematic Reviews: The Case of Invasive Strategies for Acute Coronary Syndromes, International Journal of Technology Assessment in Health Care, 22(4), 484-496.

2. Aula, A. and Nordhausen, K. (2006): Modeling Successful Performance in Web Searching, Journal of the American Society for Information Science and Technology, 57(12), 1678-1693. [bib]

1. Nordhausen, K., Oja, H. and Tyler, D.E. (2006): On the Efficiency of Invariant Multivariate Sign and Rank Tests. In Liski, E.P., Isotalo, J., Niemelä, J., Puntanen, S., and Styan, G.P.H. (editors) “Festschrift for Tarmo Pukkila on his 60th birthday”, 217-231, University of Tampere, Tampere.

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Accepted manuscripts:

3. Virta, J., Li, B., Nordhausen, K. and Oja, H.: JADE for Tensor-Valued Observations. Accepted for publication in Journal of Computational and Graphical Statistics.

2. Virta, J. and Nordhausen, K.: Blind Source Separation For Nonstationary Tensor-Valued Time Series. Accepted for publication in the Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing 2017.

1. Nordhausen, K. and Oja, H.: Robust Nonparametric Inference. Accepted for publication in Annual Review of Statistics and Its Applications.

 

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Unpublished preprints:

2. Virta, J., Nordhausen, K. and Oja, H.: Joint Use of Third and Fourth Cumulants in Independent Component Analysis. arXiv

1. Ilmonen, P., Nordhausen, K., Oja, H. and Ollila, E.: On Asymptotics of ICA Estimators and Their Performance Indices. arXiv

 

Submitted manuscripts:

11. Miettinen, J., Nordhausen, K. and Taskinen, S.: fICA: FastICA Algorithms and Their
Improved Variants.

10. Fischer, D., Nordhausen, K. and Oja, H.: Linear Dimension Reduction and Bioinformatics Data.

9. Archimbaud, A., Nordhausen, K. and Ruiz-Gazen, A.:  Multivariate Outlier Detection With ICS. arXiv

8. Nordhausen, K., Oja, H. and Tyler, D.E.: Asymptotic and bootstrap tests for subspace dimension. arXiv

7. Frahm, G., Nordhausen, K. and Oja, H.: M-Estimation of Location and Scatter with Incomplete and Dependent Data.

6. Fischer, D., Mosler, K., Möttönen, J., Nordhausen, K., Pokotylo, O. and Vogel, D.: Computing the Oja Median in R: The Package OjaNP. arXiv

5. Virta, J., Nordhausen, K. and Oja, H.: Projection Pursuit for Non-Gaussian Independent Components. arXiv

4. Archimbaud, A., Nordhausen, K. and Ruiz-Gazen, A.:  Unsupervized Outlier Detection with ICSOutlier.

3. Miettinen, M., Matilainen, M., Nordhausen, K. and Taskinen, S.: Extracting Conditionally
Heteroscedastic Components Using ICA

2. Matilainen, M., Croux, C., Nordhausen, K. and Oja, H.: Sliced Average Variance Estimation for Multivariate Time Series.

1. Fischer, D., Berro, A.,Nordhausen, K. and Ruiz-Gazen, A.: REPPLab: Detecting Groups and Outliers Using Exploratory Projection Pursuit. arXiv

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Other publications:

11. Nordhausen, K., Ollila, E. and Taskinen, S. (2017): To Make, Or Not to Make Any Moment Assumptions? In The Yearbook of the Finnish Statistical Society 2015-2016.

10. Nordhausen, K. (2015): Book review of “Statistical Analysis of Network Data with R” by E.D. Kolaczyk and G. Csardi. International Statistical Reviews, Short Book Reviews, 83(1), 171-172.

9. Nordhausen, K. (2014): Book review of “An Introduction to Statistical Learning – with Applications in R” by G. James, D. Witten, T. Hastie and R. Tibshirani. International Statistical Reviews, Short Book Reviews, 82(1), 156-157.

8. Nordhausen, K. (2014): Book review of “Multiple Imputation and its Application” by J. R. Carpenter and M. G. Kenward. International Statistical Reviews, Short Book Reviews, 82(1), 151-152.

7. Nordhausen, K. (2013): Book review of “Ensemble Methods: Foundations and Algorithms” by Z.-H. Zho. International Statistical Reviews, Short Book Reviews, 81(3), 470.

6. Nordhausen, K. (2013): Book review of “Stationary Stochastic Processes” by G. Lindgren. International Statistical Reviews, Short Book Reviews, 81(3), 469-470.

5. Nordhausen, K. (2009): Book review of “The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition” by T. Hastie, R. Tibshirani and J. Friedman. International Statistical Reviews, Short Book Reviews, 77(3), 482.

4. Nordhausen, K. (2008): On Invariant Coordinate Selection and Nonparametric Analysis of Multivatiate Data, Dissertation, Tampere University Press, Tampere. link

3. Nordhausen, K. (2008): Two Scatter Matrices for Multivariate Analysis. In Koivisto, P. (editor) “Digest of TISE Seminar 2008”, 34-39, Tampere.

2. Fischer, M., Moriarty J., Nordhausen, K., Panov, I. and Vecil, F. (2006): Dynamic Traffic Control. In Heiliö, M. and Kauranne, T. (editors) “Proceedings of the 18th ECMI Modelling Week 13.-21. August 2004”, 39-47, Research Report 101, Lappeenranta University of Technology, Lappeenranta.

1. Nordhausen, K. (2003): Comparison Between Empirical Bayes and Fully Bayes approaches for Conditionally Exponential Distributed Data, Diploma Thesis, Department of Statistics, University of Dortmund.

 

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