Publications

Publications and preprints by Paavo Sattler.

Publications and preprints on multivariate and high-dimensional inference, nonparametric methods, structured hypotheses, resampling, and statistical computing.

Google Scholar · ORCID

Selected Publications

Quadratic form based multiple contrast tests for comparison of group means

Paavo Sattler, Markus Pauly, Merle Munko. Journal of Statistical Planning and Inference, 2026.
Develops quadratic-form-based multiple contrast procedures for simultaneous inference on comparisons between group means.
DOI · arXiv

Testing for patterns and structures in covariance and correlation matrices

Paavo Sattler, Dennis Dobler. Journal of Multivariate Analysis, 2026.
Develops inference procedures for testing structured patterns and restrictions in covariance and correlation matrices.
DOI · arXiv

Choice of the hypothesis matrix for using the Anova-type-statistic

Paavo Sattler, Manuel Rosenbaum. Statistics & Probability Letters, 2025.
Studies how the choice of hypothesis representation affects ANOVA-type inference and can be used to reduce computational complexity and runtime.
DOI · arXiv

Testing hypotheses about correlation matrices in general MANOVA designs

Paavo Sattler, Markus Pauly. TEST, 2023.
Provides methodology for testing general hypotheses about correlation matrices in heterogeneous multivariate designs.
DOI · arXiv

Inference for high-dimensional split-plot-designs: A unified approach for small to large numbers of factor levels

Paavo Sattler, Markus Pauly. Electronic Journal of Statistics, 2018.
Provides a unified framework for inference in high-dimensional split-plot designs across different dimensional regimes.
DOI · arXiv

All Publications

2026

  • Paavo Sattler, Somesh Kumar. A unified approach to inference in high-dimensional repeated measure designs with group-specific dimensions. TEST. DOI
  • Paavo Sattler, Markus Pauly, Merle Munko. Quadratic form based multiple contrast tests for comparison of group means. Journal of Statistical Planning and Inference, 106414. DOI
  • Paavo Sattler, Dennis Dobler. Testing for patterns and structures in covariance and correlation matrices. Journal of Multivariate Analysis, 211, 105517. DOI
  • M. Baumeister, K. E. Thiel, L. Matits, G. Zimmermann, M. Pauly, Paavo Sattler. Multivariate and multiple contrast testing in general covariate-adjusted factorial designs. Journal of Multivariate Analysis, 214, 105617. DOI
  • K. E. Thiel, Paavo Sattler, A. C. Bathke, G. Zimmermann. Resampling NANCOVA: Nonparametric analysis of covariance in small samples. Computational Statistics & Data Analysis, 215, 108290. DOI

2025

  • Paavo Sattler, Manuel Rosenbaum. Choice of the hypothesis matrix for using the Anova-type-statistic. Statistics & Probability Letters, 219, 110356. DOI
  • S. Basak, Paavo Sattler, S. Kumar. Asymptotic Accuracy of a Bootstrap Test of Homogeneity in Fisher–von Mises–Langevin Populations. In Directional and Multivariate Statistics: A Volume in Honour of Ashis SenGupta, Springer, pp. 177–184. DOI

2024

  • Paavo Sattler, G. Zimmermann. Choice of the hypothesis matrix for using the Wald-type-statistic. Statistics & Probability Letters, 208, 110038. DOI
  • S. Basak, Paavo Sattler, S. Kumar. Inference on the common mean direction of several Fisher-von Mises-Langevin populations with unknown concentration parameters. Statistics, 58(5), 1067–1091. DOI

2023

  • Paavo Sattler, Markus Pauly. Testing hypotheses about correlation matrices in general MANOVA designs. TEST, 33(2). DOI
  • A. Mondal, Paavo Sattler, S. Kumar. Testing against ordered alternatives in a two-way model without interaction under heteroscedasticity. Journal of Multivariate Analysis, 196, 105177. DOI
  • A. Mondal, Paavo Sattler, S. Kumar. Testing for trend in two-way crossed effects model under heteroscedasticity. TEST, 32(4). DOI

2022

  • Paavo Sattler, A. C. Bathke, Markus Pauly. Testing hypotheses about covariance matrices in general MANOVA designs. Journal of Statistical Planning and Inference, 219, 134–146. DOI
  • K. Rubarth, Paavo Sattler, H. G. Zimmermann, F. Konietschke. Estimation and testing of Wilcoxon-Mann-Whitney effects in factorial clustered data designs. Symmetry, 14(2). DOI

2021

  • Paavo Sattler. A comprehensive treatment of quadratic-form-based inference in repeated measures designs under diverse asymptotics. Electronic Journal of Statistics, 15(1), 3611–3634. DOI

2018

  • Paavo Sattler, Markus Pauly. Inference for high-dimensional split-plot-designs: A unified approach for small to large numbers of factor levels. Electronic Journal of Statistics, 12(2), 2743–2805. DOI

Preprints

  • Dennis Dobler, Jörg-Tobias Kuhn, Lubna Amro, Paavo Sattler (2026). Generalized multivariate Mann-Whitney-(U) tests and confidence regions for relative effects under random missingness. arXiv:2609.07435
  • Merle Munko, Paavo Sattler (2026). Covariance Correction for Permutation Statistics in Multiple Testing Problems. arXiv:2604.06915
  • Paavo Sattler, Svenja Jedhoff (2025). Testing hypotheses regarding covariance and correlation matrices with the R package CovCorTest. arXiv:2507.03406
  • Paavo Sattler, N. Hichert (2025). Inference for high dimensional repeated measure designs with the R package hdrm. arXiv:2512.17478
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