Publications

Published peer-reviewed articles

  1. Montonen E., Laaksonen I., Matilainen M., Eskelinen A., Haapakoski J., Puhto A. P., Leskinen J., Kettunen J., Manninen M., & Mäkelä K. T. (2018): What Is the Long-term Survivorship of Cruciate-retaining TKA in the Finnish Registry?, Clinical Orthopaedics and Related Research, 476 (6), 1205-1211. URL
  2. Matilainen M., Croux C., Nordhausen K. & Oja H. (2017): Supervised dimension reduction for multivariate time series. Econometrics and Statistics, 4, 57-69. URL
  3. Matilainen M., Miettinen J., Nordhausen K., Oja H. & Taskinen S. (2017): On Independent Component Analysis with Stochastic Volatility Models, Austrian Journal of Statistics, 46 (3-4), 57-66. URL
  4. Palomäki, A., Lempainen, L., Matilainen, M., Eskelinen, A., Remes, V., Virolainen, P. & Mäkelä, K. T. (2017), Survival of uncemented cups from a single manufacturer implanted from 1985 to 2013: Finnish Arthroplasty Register data, Archives of Orthopaedic and Trauma Surgery, pp. 1-10. URL
  5. Matilainen M., Miettinen J., Nordhausen K., Oja H. & 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.
  6. Toyinbo O., Matilainen M., Turunen M., Putus T., Shaughnessy R. & Haverinen-Shaughnessy U. (2016): Modeling Associations between Principals’ Reported Indoor Environmental Quality and Students’ Self-Reported Respiratory Health Outcomes Using GLMM and ZIP Models, International Journal of Environmental Research and Public Health, 13 (4), 385:1-12.
  7. Matilainen M., Nordhausen K. & Oja H. (2015): New Independent Component Analysis Tools for Time Series. Statistics and Probability Letters, 105, 80-87.
  8. Mäkelä K. T., Matilainen M., Pulkkinen P., Fenstad A. M., Havelin L. I., Engesaeter L., Furnes O., Overgaard S., Pedersen A. B., Kärrholm J., Malchau H., Garellick G., Ranstam J. & Eskelinen A. (2014), Countrywise results of total hip arthroplasty: an analysis of 438,733 hips based on the Nordic Arthroplasty Register Association database, Acta Orthopaedica, 85 (2), 107-116.
  9. Mäkelä K. T., Matilainen M., Pulkkinen P., Fenstad A. M., Havelin L., Engesaeter L., Furnes O., Pedersen A. B., Overgaard S., Kärrholm J., Malchau H., Garellick G., Ranstam J. & Eskelinen A. (2014): Failure rate of cemented and uncemented total hip replacement: a register study of combined Nordic database of four nations, BMJ, 348. URL
  10. Junnila M., Kostensalo I., Virolainen P., Remes V., Matilainen M., Vahlberg T., Pulkkinen P., Eskelinen A., Itälä A. & Mäkelä K. (2014): Hip resurfacing arthroplasty versus large head metal on metal total hip arthroplasty: comparison of three designs from the Finnish Arthroplasty Register, Scandinavian Journal of Surgery, 103, 54-59.
  11. Kostensalo I., Junnila M., Virolainen P., Remes V., Matilainen M., Vahlberg T., Pulkkinen P., Eskelinen A. & Mäkelä K. T. (2013): Effect of femoral head size on risk of revision for dislocation after total hip arthroplasty: A population-based analysis of 42,379 primary procedures from the Finnish Arthroplasty Register, Acta Orthopaedica, 84 (4), 342-347.

Accepted manuscripts

  • Matilainen M., Nordhausen K. & Virta J. On the number of signals in multivariate time series, to appear in Proceedings of International Conference on Latent Variable Analysis and Signal Separation 2018 (LVA/ICA). arXiv

Submitted manuscripts

  • Matilainen M., Croux C., Nordhausen K. & Oja H. Sliced Average Variance Estimation for Multivariate Time Series
  • Miettinen J., Matilainen M., Nordhausen K. & Taskinen S. Extracting Conditionally Heteroscedastic Components Using ICA
  • Högel H., Rissanen E., Barro C., Matilainen M., Nylund M., Kuhle J. & Airas L. Serum Glial Fibrillary Acidic Protein Correlates with Multiple Sclerosis Disease Progression

Manuscripts under preparation

  • SOBI review

Software

  • Matilainen M., Croux C., Miettinen J., Nordhausen K., Oja H., Taskinen S. & Virta J. (2018): tsBSS: Blind Source Separation and Supervised Dimension Reduction for Time Series. R-package version 0.5.0. Available on CRAN.

Theses

  • Matilainen M. (2018): On Independent Component Analysis and Supervised Dimension Reduction for Time Series, Doctoral dissertation, University of Turku. URL
  • Matilainen M. (2013): Yleistetyt lineaariset sekamallit ja Zero Inflated Poisson -mallit oppilaiden oireiden mallintamisessa (Generalized linear mixed models and Zero Inflated Poisson models in the modelling of students’ symptoms), Master’s thesis in statistics, University of Turku.
  • Matilainen M. (2011): ARIMA-malleista ja niiden sovelluksista lämpötila-aikasarjoihin (On ARIMA models and their applications to temperature time series), Master’s thesis in mathematics, University of Turku.
  • Matilainen M. (2011): Pólyan lause (Pólya’s Theorem), Bachelor’s thesis, University of Turku.