Publications

  1. Korhonen, P., Hui, F.K.C, Niku, J., Taskinen, S. and van der Veen, B. (2024), "gllvm 2.0: Fast fitting of advanced ordination methods and Joint Species Distribution Models", Preprint.
  2. Tang, W., Korhonen, P., Niku, J., Nordhausen, K. and Taskinen, S. (2024), "Comparing model-based unconstrained ordination methods in the analysis of high-dimensional compositional count data", Submitted.
  3. Kauppinen, H., Hähkiöniemi, M. and Taskinen, S. (2024), "Exploring students' misinterpretations of linear regression models", conditionally accepted.
  4. Lee, A., Taskinen, S., Vehmas, A. and Suomi, K. (2024), "Formation of legitimacy in sport in local decision-making: explaining local politicians’ and administrators’ perceived justification of sport in Finnish municipalities", Submitted.
  5. Nordhausen, K. and Taskinen, S. (2024), "Independent component analysis", In: Lovric, M. (editor) International Encyclopedia of Statistical Science. Springer, To appear.
  6. Korhonen, P., Nordhausen, K. and Taskinen, S. (2024), "A review of generalized linear latent variable models and related computational approaches", WIREs Computational Statistics, 16, 6, e70005. [link]
  7. Sipilä, M., Cappello, C., De Iaco, S., Nordhausen, K. and Taskinen, S. (2024), "Modelling multivariate spatio-temporal data with identifiable variational autoencoders", Neural Networks, 181, 106774. [link]
  8. Korhonen, P., Hui, F.K.C, Niku, J., Taskinen, S. and van der Veen, B. (2024), "A comparison of joint species distribution models for percent cover data", Methods in Ecology and Evolution, 15, 2359-2372. [link]
  9. Elo, M., Kareksela, S, Ovaskainen, O., Abrego, N., Niku, J., Taskinen, S., Aapala, K. and Kotiaho, J.S. (2024), "Restoration of forestry-drained boreal peatland ecosystems can effectively stop and reverse ecosystem degradation", Communications Earth & Environment, 5, 680. [link]
  10. Sipilä, M., Nordhausen, K. and Taskinen, S. (2024), "Nonlinear blind source separation exploiting spatial nonstationarity", Information Sciences, 120365. [link]
  11. Mishica, C., Kyröläinen, H., Taskinen, S., Hynynen, E., Nummela, A., Holmberg, H-C. and Linnamo, V. (2024), "Associations between objective measures of performance-related characteristics and perceived stress in young cross-country skiers during pre-season training", Journal of Sports Sciences, 1-10. [link]
  12. Sipilä, M., Muehlmann, C., Nordhausen, K. and Taskinen, S. (2024), "Robust second-order stationary spatial blind source separation using generalized sign matrices", Spatial Statistics, 59:100803. [link]
  13. Jernfors, T., Lavrinienko, A., Vareniuk, I., Landberg, R., Fristedt, R., Tkachenko, O., Taskinen, S., Tukalenko, E., Mappes, T., Watts, P. (2024), "Association between gut health and gut microbiota in a polluted environment", Science of the Total Environment, 914:169804. [link]
  14. Flumian, L., Matilainen, M., Nordhausen, K. and Taskinen, S. (2024), "Stationary subspace analysis based on second-order statistics", Journal of Computational and Applied Mathematics, 436:115379. [link]
  15. Taskinen, S., Frahm, G. Nordhausen, K. and Oja, H. (2023), "A review of Tyler’s shape matrix and its extensions", Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler, 23-41. [link]
  16. Eskola, A. and Taskinen, S. (2023), "Diginatiiveja vai digimuukalaisia? Suomalaisten korkeakouluopiskelijoiden digitaaliset valmiudet," Opetus- ja kulttuuriministeriön julkaisuja, 2023:36. [link]
  17. Nordhausen, K., Taskinen, S. and Virta, J. (2022) "Signal dimension estimation in BSS models with serial dependence," 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-7, [link]
  18. Korhonen, P., Hui, F.K.C, Niku, J. and Taskinen, S. (2022), "Fast and universal estimation of latent variable models using extended variational approximations", Statistics and Computing, 33:26. [link]
  19. Tervonen, K., Olden, A., Taskinen, S. and Halme, P. (2022), "The effects of grazing history, soil properties and stand structure on the communities of saprotrophic fungi in wood-pastures", Fungal Ecology, 101163. [link]
  20. Radojicic, U., Nordhausen, K. and Taskinen, S. and Nordhausen, K. (2022), "Singular Spectrum Analysis", In: Daya Sagar, B., Cheng, Q., McKinley, J., Agterberg, F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. [link]
  21. Taskinen, S. and Nordhausen, K. (2022), "Iterative weighted least squares", In: Daya Sagar, B., Cheng, Q., McKinley, J., Agterberg, F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. [link]
  22. Nordhausen, K. and Taskinen, S. (2022), "Locally Weighted Scatterplot Smoother", In: Daya Sagar, B., Cheng, Q., McKinley, J., Agterberg, F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. [link]
  23. Taskinen S., Nordhausen K. (2022), "Least Median of Squares". In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. [link]
  24. Hyvärinen, M., Juppi, H-K., Taskinen, S., Karppinen, J.E., Karvinen, S., Tammelin, T.H., Kovanen, V., Aukee, P., Kujala, U.M., Rantalainen, T., Sipilä, S. and Laakkonen, E.K. (2021), "Metabolic health, menopause, and physical activity—a 4-year follow-up study", International Journal of Obesity. [link]
  25. Nordhausen, K., Matilainen, M., Miettinen, J., Virta, J. and Taskinen, S. (2021), "Dimension reduction for time series in a blind source separation context using R", Journal of Statistical Software, 98, 1-30. [link]
  26. Yan, P., Matilainen, M., Taskinen, S. and Nordhausen, K. and Taskinen, S. (2021), "A review of second order source separation methods", WIREs Computational Statistics, e1550. [link]
  27. Niku, J., Hui, F.K,C and Taskinen, S., Warton, D.I. (2021), "Analysing environmental-trait interactions in ecological communities with fourth-corner latent variable models", Environmetrics, e2683. [link]
  28. Miettinen, M., Matilainen, M., Nordhausen, K. and Taskinen, S. (2020), "Extracting conditionally heteroskedastic components using independent component analysis", Journal of Time Series Analysis, 41, 293-311.
  29. Niku, J., Hui, F.K,C and Taskinen, S., Warton, D.I. (2019), "gllvm - Fast analysis of multivariate abundance data with generalized linear latent variable models in R", Methods in Ecology and Evolution, 10, 2173-2182.
  30. Niku, J., Herliansyah, R., Brooks, W., Hui, F.K,C and Taskinen, S., Warton, D.I. (2019), "Efficient estimation of generalized linear latent variable models", PLoS ONE, 14, 1-20. [link]
  31. Hautala, J., Loberg, O., Azaiez, N., Taskinen, S., Tiffin-Richards, S. And Leppänen, P.H.T. (2019), "What information should I look for again? Attention deficit distracts reading of task assignments", Learning and Individual Differences, 75, 101775.
  32. Kumar, M., Nissinen, R., Niku, J., Antonielli, L., Brader, G., Sessitsch, A., Taskinen, S., and van Elsas, J. (2018), "Fungal communities associated with arcto-alpine plants are strongly shaped by regional effects", Submitted.
  33. Miettinen, J., Nordhausen, K. and Taskinen, S. (2018), "fICA: FastICA algorithms and their improved variants", R Journal, 10, 148-158. [link]
  34. Daza Secco, E., Haimi, J., Högmander, H., Taskinen, S., Niku, J. and Meissner, K. (2018), "Testate amoebae community analysis as a tool to assess biologial impacts of peatland use", Wetlands Ecology and Management, 26, 597-611
  35. Niku, J., Warton, D.I., Hui, F.K,C and Taskinen, S. (2017), "Generalized linear latent variable models for multivariate count and biomass data in ecology", Journal of Agricultural, Biological, and Environmental Statistics, 22, 498-522 [pdf]
  36. Nordhausen, K., Ollila, E. Taskinen, S. (2017), "To make, or not to make any moment assumptions", in The yearbook of the Finnish Statistical Society 2015-2016.
  37. Hui, F.K.C., Warton, D.I., Ormerod, J., Haapaniemi, V. and Taskinen, S. (2017), "Variational approximations for generalized linear latent variable models", Journal of Computational and Graphical Statistics, 26 , 35-43, [pdf]
  38. 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), 1-31 [link]
  39. Miettinen, J., Nordhausen, K., Oja, H., Taskinen, S. and Virta, J. (2017), "The squared symmetric FastICA estimator", Signal Processing, 131, 402-411 [pdf]
  40. Matilainen, M., Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2017). "On Independent Component Analysis with Stochastic Volatility Models", Austrian Journal of Statistics, 46, 57-66 [pdf]
  41. Virta, J., Taskinen, S. and Nordhausen, K. (2016). "Applying fully tensorial ICA to fMRI data". In the proceedings of 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). DOI: 10.1109/SPMB.2016.7846858.
  42. Warton, D.I., Blanchet, F.G., O'Hara, R.B., Ovaskainen, O., Taskinen, S., Walker, S.C., and Hui, F.K.C. (2016), "Extending joint models in community ecology: A response to Beissinger et al.", Trends in Ecology and evolution, 31, 737-738.
  43. Oja, H., Paindaveine, D. and Taskinen, S. (2016). "Affine-invariant rank tests for multivariate independence in independent component models", Electronic Journal of Statistics, 10, 2372-2419. [pdf]
  44. Matilainen, M., Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2016). "ICA and stochastic volatility models", in S. Aivazian and P. Filzmoser and Y. Kharin (eds). Proceedings of the XI International Conference on Computer Data Analysis and Modeling , pp. 30-37.
  45. Taskinen, S., Miettinen, J. and Nordhausen, K. (2016). "A more efficient second order blind identification method for separation of uncorrelated stationary time series", Statistics and Probability Letters, 116, 21-26, [pdf]
  46. 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, Springer, India, pp. 151-167.
  47. Taskinen, S. and Oja, H. (2016). "Influence functions and efficiencies of k-step Hettmansperger-Randles estimators", in: R. Liu and J.W. McKean, eds. Robust Rank-Based and Nonparametric Methods, Springer, Heidelberg, pp. 189-207.
  48. 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. [pdf]
  49. Warton, D.I., Blanchet, F.G., O'Hara, R.B., Ovaskainen, O., Taskinen, S., Walker, S.C., and Hui, F.K.C. (2015). "So many variables: Joint modeling in community ecology", Trends in Ecology and Evolution, 30, 766 - 779, DOI: 10.1016/j.tree.2015.09.007
  50. Nordhausen, K. and Taskinen, S. (eds.) (2015). "Modern Nonparametric, Robust and Multivariate Methods, Festschrift in Honour of Hannu Oja", Springer, DOI: 10.1007/978-3-319-22404-6.
  51. Fischer, D., Nordhausen, K. and Taskinen, S. (2015). "Publication and coauthorship of Hannu Oja", in Nordhausen, K. and Taskinen, S. (eds.): Modern Nonparametric, Robust and Multivariate Methods, Festschrift in Honour of Hannu Oja, Springer, pp. 7-27.
  52. Miettinen, J., Taskinen, S., Nordhausen, K. and Oja, H. (2015), "Fourth moments and independent component analysis", Statistical Science, 30, 372-390. [pdf]
  53. 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, [pdf]
  54. Hui, F.K.C., Taskinen, S., Pledger, S., Foster, S.D. and Warton, D.I. (2015), "Model-based approach to unconstrained ordination", Methods in Ecology and Evolution, 6, 399-411, DOI: 10.1111/2041-210X.12236
  55. 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. [pdf]
  56. Laakkonen, H., Taskinen, S. , Ronnholm, K., Holmberg, C. and Sandberg, S. (2014). "Parent-child and spousal relationships in families with a young child with end-stage renal failure", Pediatric Nephrology, 29, 289-295.
  57. Miettinen, J., Nordhausen, K. Oja, H. and Taskinen, S. (2014), "Deflation-based FastICA with adaptive choices of contrast functions", IEEE Transactions on Signal Processing, 62, 5716-5724. [pdf]
  58. Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2013), "Fast equivariant JADE", in Proceedings of 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), pages 6153-6157. [pdf]
  59. Taskinen, S. and Warton, D.I. (2013). "Robust tests for one or more allometric lines", Journal of Theoretical Biology, 333, 38-46. [pdf]
  60. Warton, D.I., Duursma, R.A., Falster, D.S. and Taskinen, S.. (2012). "smatr 3 - an R package for estimation and inference about allometric lines ", Methods in Ecology and Evolution, 2, 257-259. DOI: 10.1111/j.2041-210X.2011.00153.x
  61. Taskinen, S., Koch, I. and Oja, H. (2012). "Robustifying principal component analysis with spatial sign vectors", Statistics and Probability Letters, 82, 765-774. [pdf]
  62. Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2012), "Statistical properties of a blind source separation estimator for stationary time series", Statistics and Probability Letters, 82, 1865-1873. [pdf]
  63. Taskinen, S. and Warton, D.I. (2011). "Robust estimation and inference for allometric line-fitting", Biometrical Journal, 53, 652-672.
  64. Taskinen, S., Sirkiä, S. and Oja, H. (2010). "k-step estimators of shape based on spatial signs and ranks", J. Statist. Plann. Inf., 140, 3376-3388. [pdf]
  65. Sirkiä, S., Taskinen, S., Oja, H. and Tyler, D. (2009). "Tests and estimates for shape based on spatial signs and ranks", J. Nonp. Statist., 21, 155-176. [pdf]
  66. Sirkiä, S., Taskinen, S., Nevalainen, J. and Oja, H. (2009). "Multivariate nonparametrical methods based on spatial signs and ranks: The R package SpatialNP". Manuscript. [pdf]
  67. Kankainen, A., Taskinen, S. and Oja, H. (2007). "Tests of multinormality based on location vectors and scatter matrices", Statistical Methods and Applications, 16, 357-379. [pdf]
  68. Sirkiä, S., Taskinen, S. and Oja, H. (2007). "Symmetrised M-estimators of scatter", J. Multivariate Analysis, 98, 1611-1629. [pdf]
  69. Taskinen, S., Sirkiä, S. and Oja, H. (2007). "Independent component analysis based on symmetrised scatter estimators", Comp. Stat. Data Anal., 51, 5103-5111. [pdf]
  70. Taskinen, S., Croux, C., Kankainen, A., Ollila, E. and Oja, H. (2006). "Influence functions and efficiencies of the canonical correlation and vector estimates based on scatter and shape matrices", J. Multivariate Analysis, 97, 359-384. [pdf]
  71. Taskinen, S., Oja, H. and Randles, R.H. (2005). "Multivariate nonparametric tests of independence", J. American Statistical Association, 100, 916-925. [pdf]
  72. Taskinen, S., Kankainen, A. and Oja, H. (2004). "Rank scores tests of multivariate independence", in: M. Hubert, G. Pison, A. Stryuf and S. Van Aelst, eds. Statistics for Industry and Technology, Birkhauser, Basel, pp. 329-341. [pdf]
  73. Kankainen, A., Taskinen, S. and Oja, H. (2004). "On Mardia's tests of multinormality", in: M. Hubert, G. Pison, A. Stryuf and S. Van Aelst, eds. Statistics for Industry and Technology, Birkhauser, Basel, pp. 153-164. [pdf]
  74. Sihvonen, S., Sipilä, S., Taskinen, S. and Era, P. (2004). "Fall incidence in frail older women after individualized visual feedback-based balance training", Gerontology, 50, 411-416. [pdf]
  75. Taskinen, S. (2003). "On nonparametric tests of independence and robust canonical correlation analysis", Ph.D. Thesis, University of Jyvaskyla. [pdf]
  76. Taskinen, S., Kankainen, A. and Oja, H. (2003). "Tests of independence based on sign and rank covariances", in: R. Dutter, P. Filzmoser, U. Gather and P.J. Rousseeuw, eds. Developments in Robust Statistics. International Conference on Robust Statistics 2001, Springer-Verlag, Heidelberg, pp. 387-403.
  77. Taskinen, S., Kankainen, A. and Oja, H. (2003). "Sign test of independence between two random vectors", Statistics & Probability Letters, 62, 9-21. [pdf]
  78. Sandberg, S., McCann, D.C., Ahola, S., Oja, H., Paton, J.Y., McGuinness, D. (2002). "Positive experiences and the relationship between stress and asthma in children", Acta Paediatrica, 91(2), 152-158.
  79. Sandberg, S., Paton, J.Y., Ahola, S., McCann, D.C., McGuinness, D., Hillary, C.R. and Oja, H. (2000). "Stressi lisää lasten astmakohtausten riskiä, Duodemic, 116, 2305-2306.
  80. Sandberg, S., Paton, J.Y., Ahola, S., McCann, D.C., McGuinness, D., Hillary, C.R. and Oja, H. (2000). "The role of acute and chronic stress in asthma attacks in children", Lancet, 356, 982-988.