List of publications inspired by reasearch meetings (since 2020) - to be continued...

2026

• Filipiak, K., D. von Rosen, W. Rejchel, M. Singull (2026). The Safety Belt estimator under multivariate linear models with inequality constraints. Journal of Statistical Planning and Inference 241, 106335.

2025

• Filipiak, K., D. Klein, S. Mazur, M. Mrowińska (2025). Likelihood ratio test for covariance matrix under multivariate t distribution with uncorrelated observations. Journal of Multivariate Statistics 210, 105490.

• Filipiak, K., A. Markiewicz, A. Mieldzioc, M. Mrowińska (2025). On estimation of a partitioned covariance matrix with linearly structured blocks. Statistical Papers 66, 98.

• Haslett, S.J., J. Isotalo, A. Markiewicz, S. Puntanen (2025). Revisiting some results in C.R. Rao's paper in Sankhya in 1971. Sankhya, Ser A. In press.

• Haslett, S.J., J. Isotalo, A. Markiewicz, S. Puntanen (2025). Linear sufficiency and permissible covariance structures for retention of BLUEs in linear models. Indian Journal of Pure and Applied Mathematics, available online 4 July 2025. 

DOI: https://doi.org/10.1007/s13226-025-00810-9.   

• Haslett, S.J., J. Isotalo, A. Markiewicz, S. Puntanen (2025). How data or error covariance can change and still retain BLUEs as well as their covariance or the sum of squares of errors. Australian & New Zealand Journal of Statistics, online. 

DOI: https://doi.org/10.1111/anzs.70003.

• Haslett, S.J., J. Isotalo, A. Markiewicz, S. Puntanen (2025). Some remarks on the reparametrization of linear models. To appear in Linear Algebra, Matrices, and their Applications, published by American Mathematical Society, a book volume dedicated to International Conference on Linear Algebra and its Applications (ICLAA 2023).

• Klein, D., A. Roy, D. von Rosen i K. Filipiak (2025). Estimating and testing a doubly exchangeable covariance matrix using Rao's score test. Sankhyã B: The Indian Journal of Statistics. In press.
  DOI: https://doi.org/10.1007/s13571-025-00366-y.

• Kozubowski, T.J., S. Mazur, K. Podgórski (2025). Matrix variate gamma distributions with unrestricted shape parameter. Journal of Multivariate Analysis, 209, 105457.

• Mrowińska, M., M. Mokrzycka (2025). Block covariance matrix estimation with structured off-diagonal blocks. Statistical Papers 66, 129-1-129-23.

• Puntanen, S., G.P.H. Styan (2025). Best linear unbiased estimation in linear models (Updated and extended version.) In: Miodrag L. (Ed.), International Encyclopedia of Statistical Science, 2nd Edition, pp. 249-257. Springer, Berlin, Heidelberg. 

2024

• Filipiak, K., M. John, Y. Liang (2024). Testing covariance structures belonging to a quadratic subspace under a doubly multivariate model. TEST 33, 847–876. 

• Filipiak, K., T. Kollo (2024). Covariance structure tests for multivariate t-distribution. Statistical Papers 65, 4537-4566.

• Filipiak, K., D. Klein, M. Mokrzycka (2024). Discrepancy between structured matrices in the power analysis of a separability test. Computational Statistics & Data Analysis 192, 107907.

• Liu, S., G. Trenkler, T. Kollo,  D. von Rosen, O.M. Baksalary (2024). Professor Heinz Neudecker and matrix differential calculus. Statistical Papers 65, 2605-2639. 

• Markiewicz, A., M. Mokrzycka, M. Mrowińska (2024). Quasi shrinkage estimation of a block-structured covariance matrix. Journal of Statistical Computation and Simulation, 94(14), 3093-3110.

• Haslett, S.J., J. Isotalo, A. Markiewicz, S. Puntanen (2024). The fundamental BLUE equation in linear models revisited. Statistics and Applications 22(3) (New Series), ISSN 2454-7395 (online), Special Issue in Memory of Professor C.R. Rao, pages 95-118.

• Szczepańska-Álvarez, A., A. Álvarez, A. Szwengiel, D. von Rosen (2024). Testing correlation in a three-level model. Journal of Agricultural, Biological and Environmental Statistics 29, 257-276. 

• von Rosen, D., M. Singul (2024). Using the growth curve model in classification of repeated measurements. Annals of the Institute of Statistical Mathematics 76, 511-533.

2023

• Byukusenge, B., D. von, Rosen, M. Singull (2023). On residual analysis in the GMANOVA-MANOVA Model. In: Balakrishnan, N., Gil, M.Á., Martín, N., Morales, D., Pardo, M.d.C. (Eds), Trends in Mathematical, Information and Data Sciences. Studies in Systems, Decision and Control, vol. 445, pp. 287-305. Springer, Cham.

• Filipiak, K., M. John, D. Klein (2023). Testing independence under a block compound symmetry covariance structure. Statistical Papers 64, 677-704.

• Gauraha, N., D. von Rosen (2023). Totally ordered conditional independence models. Journal of Mathematical Sciences 273, 722-731. 

• Haslett, S.J., J. Isotalo, A. Markiewicz, S. Puntanen (2023). Upper bounds for the Euclidean distances between the BLUEs under the partitioned linear fixed model and the corresponding mixed model. In: Bapat, R.B., Kirkland, S.J., Prasad Karantha, M., Neogy, S.K., Pati, S., Puntanen, S. (Eds), Applied Linear Algebra, Probability and Statistics: A Volume in Honour of C.R. Rao and Arbind K. Lal, pp. 27-43. Springer, Indian Statistical Institute Series, Singapore.

• Haslett, S.J., J. Isotalo, A. Markiewicz, S. Puntanen (2023). Permissible covariance structures for simultaneous retention of BLUEs in small and big linear models. In: Bapat, R.B., Kirkland, S.J., Prasad Karantha, M., Neogy, S.K., Pati, S., Puntanen, S. (Eds), Applied Linear Algebra, Probability and Statistics: A Volume in Honour of C.R. Rao and Arbind K. Lal, pp. 197-213. Springer, Indian Statistical Institute Series, Singapore.

• Haslett, S.J., J. Isotalo, A. Markiewicz, S. Puntanen (2023). Equality of BLUEs for full, small, and intermediate linear models under covariance change, with links to data confidentiality and encryption. In: Bapat, R.B., Kirkland, S.J., Prasad Karantha, M., Neogy, S.K., Pati, S., Puntanen, S. (Eds), Applied Linear Algebra, Probability and Statistics: A Volume in Honour of C.R. Rao and Arbind K. Lal, pp. 237-291. Springer, Indian Statistical Institute Series, Singapore.

• Haslett, S.J., J. Isotalo, A. Markiewicz, S. Puntanen (2023). Further remarks on permissible covariance structures for simultaneous retention of BLUEs in linear models. Acta et Commentationes Universitatis Tartuensis de Mathematica 27, 101-112.

• Haslett, S.J., A. Markiewicz, S. Puntanen (2023). Properties of BLUEs in full versus small linear models. Communications in Statistics: Theory and Methods 52(21), 7684-7698.

• Kozubowski, T.J., S. Mazur, K. Podgórski (2023). Matrix variate generalized asymmetric Laplace distributions. Theory of Probability and Mathematical Statistics 109, 55–80.

• Umunoza Gasana, E., D. von Rosen, M. Singull (2023). An Edgeworth-type expansion for the distribution of a likelihood-based discriminant function. Journal of Statistical Computation and Simulation 93, 3185-3202. 

• Wamono, F., L. Atuhaire, I. Ngaruye, D. von Rosen, M. Singull (2023). Small area estimation of trends in household living standards in Uganda using a GMANOVA-MANOVA model and repeated surveys. Communications in Statistics: Case Studies, Data Analysis and Applications 9, 402-421. 

2022

• Byukusenge, B., D. von Rosen, M. Singull (2022). On an important residual in the GMANOVA–MANOVA model. Journal of Statistical Theory and Practice 16, 2.

• Haslett, S.J., A. Markiewicz, S. Puntanen (2022). Properties of the matrix V + XTX' in linear statistical models. Gujarat Journal of Statistical and Data Science (Formerly Gujarat Statistical Review) 38, 107-131.

• Imori, S., D. von Rosen, R. Oda (2022). Growth curve model with bilinear random coefficients. Sankhya A 84, 477-508.

• Klein, D., J. Pielaszkiewicz, K. Filipiak (2022). Approximate normality in testing an exchangeable covariance structure under large- and high-dimensional settings. Journal of Multivariate Analysis 192, 105049.

• Wamono, F., D. von Rosen, M. Singull (2022). Residuals in GMANOVA–MANOVA model with rank restrictions on parameters. Journal of the Korean Statistical Society 51, 223-244. 

• Umunoza Gasana, E., D. von Rosen, M. Singull (2022). Moments of the likelihood-based discriminant function. Communications in Statistics - Theory and Methods 53, 1122-1134. 

2021

• Ahmed,S.E., D. Aydın, E. Yılmaz (2021). Linear mixed-effects model using penalized spline based on data transformation methods. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 319-341. Springer.

• Cengiz, C., D. von Rosen, M. Singull (2021). Profile analysis in high dimensions. Journal of Statistical Theory and Practice 15, 15.

• Coelho, C.A. (2021). Testing equality of mean vectors with block-circular and block compound-symmetric covariance matrices. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 157-202. Springer.

• Filipiak, K., A. Markiewcz, D. von Rosen, Eds. (2021). Multivariate, Multilinear and Mixed Linear Models. Springer.

• Filipiak, K., D. Klein, M. Mokrzycka (2021). Separable covariance structure indetification for doubly multivariate data. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 113-130. Springer.

• Filipiak, K., D. Klein (2021). Estimation and testing of the covariance structure of doubly multivariate data. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 131-155. Springer.

• Filipiak, K., D. Klein, A. Markiewicz, M. Mokrzycka (2021). Approximation with a Kronecker product structure with one component as compound symmetry or autoregression via entropy loss function. Linear Algebra and its Applications 610, 625-646.

• Haslett, S.J., J. Isotalo, R. Kala, A. Markiewicz, S. Puntanen (2021). A review of the linear sufficiency and linear prediction sufficiency in the linear model with new observations. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 265-318. Springer.

• Kala, R. (2021). On a simplified approach to estimation in experiments with orthogonal block structure. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 253-264. Springer.

• Kollo, T. (2021). From normality to skewed multivariate distributions: a personal view. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 17-40. Springer.

• Kozioł, A., A. Roy, R. Zmyślony, I. Žežula, M. Fonseca (2021). Estimation and testing hypotheses in two-level and three-level multivariate data with block compound symmetric covariance structure. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 233-252. Springer.

• Liang, Y., D. von Rosen, T. von Rosen (2021). On properties of Toeplitz-type covariance matrices in models with nested random effects. Statistical Papers 62, 2509-2528.

• Markiewicz, A., S. Puntanen (2021). Linear prediction sufficiency in the misspecified linear model. Communications in Statistics: Theory and Methods 50, 4977-4996.

• Markiewicz, A., S. Puntanen, G.P.H. Styan (2021). The legend of the equality of OLSE and BLUE: highlighted by C.R. Rao in 1967. In: Arnold, B.C., Balakrishnan, N., Coelho, C.A. (Eds), Methodology and Applications of Statistics -- A Volume in Honor of C.R. Rao on the Occasion of his 100th Birthday, pp. 51-76. Springer, Cham.

• Ngailo, E.K., D. von Rosen, and M. Singull (2021). Asymptotic approximation of misclassification probabilities in linear discriminant analysis with repeated measurements. Acta et Commentationes Universitatis Tartuensis de Mathematica 25, 67-85.

• Pielaszkiewicz, J., D. von Rosen (2021). On multivariate moments in multivariate analysis. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 41-91. Springer.

• Takemura, A. (2021). Holonomic gradient method for multivariate distribution theory. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 1-16. Springer.

• von Rosen, D. (2021). Bilinear regression with rank restrictions on the mean and the dispersion matrix. In: Arnold, B.C., Balakrishnan, N., Coelho, C.A. (Eds), Methodology and Applications of Statistics -- A Volume in Honor of C.R. Rao on the Occasion of his 100th Birthday, pp. 193-211. Springer, Cham.

• Žežula, I., D. Klein, A. Roy (2021). Testing of multivariate repeated measures data with block exchangeable covariance structure. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 233-252. Springer.

• Zhang, D., X. Cui, C. Li, J. Zhao, L. Zeng, J. Pan (2021). Regularized estimation of covariance structure through quadratic loss function. In: Filipiak, K., Markiewicz, A., von Rosen, D. (Eds), Multivariate, Multilinear and Mixed Linear Models, pp. 93-112. Springer.

2020

• Filipiak, K., M. John, A. Markiewicz (2020). Comments on maximum likelihood estimation and projections under multivariate statistical models. In: Holgersson, T., Singull, M. (Eds), Recent Developments in Multivariate and Random Matrix Analysis, pp. 51-66. Springer.

• Hamid, J.S., W.L. Huang, D. von Rosen (2020). Graphical analysis of residuals in multivariate growth curve models and applications in the analysis of longitudinal data. Communications in Statistics - Simulation and Computation 51, 5556-5581. 

• Haslett, S.J., A. Markiewicz, S. Puntanen (2020). Properties of BLUEs and BLUPs in full vs. small linear models with new observations. In: Holgersson, T., Singull, M. (Eds), Recent Developments in Multivariate and Random Matrix Analysis, pp. 123-146. Springer.

• Haslett, S.J., X-Q. Liu, A. Markiewicz, S. Puntanen (2020). Some properties of linear sufficiency and the BLUPs in the linear mixed model. Statistical Papers 61, 385-401.

• Hao, C., F. Li, D. von Rosen (2020). A Bilinear Reduced Rank Model. In: Fan, J., Pan, J. (Eds), Contemporary Experimental Design, Multivariate Analysis and Data Mining, pp. 329-340. Springer, Cham.

• Imori, S., D. von Rosen (2020). On the mean and dispersion of the Moore-Penrose generalized inverse of a Wishart matrix. Electronic Journal of Linear Algebra 36, 124-133. 

• Imori, S., D. von Rosen (2020). Upper and lower bounds of the dispersion of a mean estimator in the Growth Curve model. Statistics and Applications 18, 35-44. 

• von Rosen, T., D. von Rosen (2020). Bilinear regression with random effects and reduced rank restrictions. Japanese Journal of Statistics and Data Science 3, 63-72.

• von Rosen, T., D. von Rosen, J. Volaufova (2020). A new method for obtaining explicit estimators in unbalanced mixed linear models. Statistical Papers 61, 371–383.

• Žežula, I., D. Klein, A. Roy (2020). Mean Value Test for Three-Level Multivariate Observations with Doubly Exchangeable Covariance Structure. In: Holgersson, T., Singull, M. (Eds), Recent Developments in Multivariate and Random Matrix Analysis, pp. 335-349. Springer.