Signal recovery in noisy spatial data

Search results

• 2026

  Independent vector analysis – an introduction for statisticians

  Arvila, M., Nordhausen, K., Sipilä, M. & Taskinen, S., 2026, In: Statistics Surveys. 20, p. 1-45 45 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

• Invariant Coordinate Selection and Fisher discriminant subspace beyond the case of two groups

  Becquart, C., Archimbaud, A., Ruiz-Gazen, A., Prilć, L. & Nordhausen, K., Jan 2026, In: Journal of Multivariate Analysis. 211, 20 p., 105521.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

• Order Determination for Tensor-Valued Observations Using Data Augmentation

  Radojičić, U., Lietzén, N., Nordhausen, K. & Virta, J., 2 Jan 2026, In: Journal of Computational and Graphical Statistics. 35, 1, p. 40-50 11 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

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• SpatialDownscaling: Methods for Spatial Downscaling Using Deep Learning

  Sipilä, M., Cappello, C., De Iaco, S., Nordhausen, K. & Taskinen, S., 2026

  Research output: Non-textual form › Software › Scientific

  Open Access

• symMCD: Symmetrized MCD

  Nordhausen, K. & Croux, C., 2026

  Research output: Non-textual form › Software › Scientific

  Open Access

• TICM: Testing the Validity of the Independent Component Model Assumption

  Nordhausen, K., Hallin, M. & Meintanis, S., 2026

  Research output: Non-textual form › Software › Scientific

  Open Access

• Unsupervised linear discrimination using skewness

  Radojičić, U., Nordhausen, K. & Virta, J., Jan 2026, In: Journal of Multivariate Analysis. 211, 20 p., 105524.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

• 2025

  A multivariate approach for modeling spatio-temporal agrometeorological variables

  De Iaco, S., Cappello, C., Palma, M. & Nordhausen, K., Mar 2025, In: Environmetrics. 36, 2, 18 p., e2891.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

• Anisotropic local covariance matrices for spatial blind source separation

  Muehlmann, C., Cappello, C., De Iaco, S. & Nordhausen, K., Dec 2025, In: A St A - Advances in Statistical Analysis. 109, 4, p. 753-770 18 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

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• Comparing model-based unconstrained ordination methods in the analysis of high-dimensional compositional count data

  Tang, W., Korhonen, P., Niku, J., Nordhausen, K. & Taskinen, S., 2025, In: Journal of data science, statistics, and visualisation. 5, 6, 25 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

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• Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation

  Sipilä, M., Nordhausen, K. & Taskinen, S., 2025, Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part VII. P. Ribeiro, R., Pfahringer, B., Japkowicz, N., Larrañaga, P., Jorge, A. M., Soares, C., Abreu, P. H. & Gama, J. (eds.). Cham: Springer, p. 362-380 19 p. (Lecture Notes in Computer Science; vol. 16019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

• Kurtosis-based projection pursuit for matrix-valued data

  Radojičić, U., Nordhausen, K. & Virta, J., Dec 2025, In: Annals of Statistics. 53, 6, p. 2563-2591 29 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

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• Modelling multivariate spatio-temporal data with identifiable variational autoencoders

  Sipilä, M., Cappello, C., De Iaco, S., Nordhausen, K. & Taskinen, S., 2025, In: Neural Networks. 181

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

• Projection‐based estimators for matrix/tensor‐valued data

  Virta, J., Nagy, S. & Nordhausen, K., Dec 2025, In: Scandinavian Journal of Statistics. 52, 4, p. 2152-2186 35 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

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• Space-time blind source separation and linear coregionalization modeling: a critical comparison

  Cappello, C., De Iaco, S., Palma, M. & Nordhausen, K., Dec 2025, In: Stochastic Environmental Research and Risk Assessment. 39, 12, p. 6373-6397 25 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

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