CV-sida

Dietrich von Rosen

Dietrich von Rosen

Bakgrund

Dietrich von Rosen                                                           2018-04-15

Börjesonsvägen 5, SE-168 50 Bromma, Sweden                                                   

Telephone office: +46 (0)18 672025, Mobile +46 (0) 724509634                          

Skype address: Dietrich.von.Rosen                                                                           

Postal address office: Energy and Technology, SLU, Box 7032, SE-750 07 Uppsala

E-mail: dietrich.von.rosen@slu.se

Academic degrees

Bachelor of Science, Stockholm University  1980

Doctor of Philosophy, Stockholm University. Subj: Mathematical Statistics 1986       

Thesis: Multivariate Linear Normal Models with Special References to the Growth Curve Model (supervisor: prof. Bengt von Bahr).                 

Docent, Stockholm University 1990

Positions

July 1, 1998-  Professor in Statistics, Swedish University of Agricultural Sciences

Nov 1, 2009- & Adj Professor 20% in Mathematical Statistics, Linköping University

1990-1998  Lecturer in Mathematical Statistics, Uppsala University

1985-1990  Assistant professor in Mathematical Statistics, Stockholm University

1983-1985  Research assistant, Stockholm University                                   

1978-1983  Research assistant, Karolinska Institute

Honors

Honorary Doctor, Tartu University, Estonia, 2014

Guest professor, Central University of Finance and Economics, Beijing, China, 2018-

Advisor

18 undergraduate (master) theses in MathematicalStatistics                                       

21 Ph.Lic. theses in Statistics/MathematicalStatistics/Biometry                                  

16 Ph.D theses in Statistics/Mathematical Statistics/Biometry

Publications

Books

Kollo, T., von Rosen, D. (2005). Advanced Multivariate Statistics
with Matrices. Series: Mathematics and Its Applications,  579, Springer, Dordrecht.

de Toro, A., Eckersten, H., Nkurunziza, L., von Rosen, D. (2015). Effects of extreme weather on yield of major arable crops in Sweden. SLU Service/Repro, Uppsala.

von Rosen, D. (2018). Bilinear Regression Analysis: An Introduction. Accepted by Springer. To appear in Lect. Notes Stat., 210, Springer-Verlag, New York. pp. 1-450 (ISBN 978-3-319-78784-8).

>100 publications (peer reviewed) (80% are theoretical contributions and the rest applications of statistics in different areas).  For details see profile in Google Scholar

Professional activities (selection)

Associate editor of Acta et Commentationes Universitatis Tartuensis de Mathematica, 2003-    

Associate editor of Statistical Papers, 2007-    

Associate editor of Journal of Multivariate Analysis, 2009-   

Associate editor of Discussiones Mathematicae, Probability and Statistics, 2016-

Organizer of international conferences, workshops, summer schools, etc. (selection)

Organizer of a one-day conference in biostatistics at Karolinska Institute, 1989

Coorganizer of FMS jubilee meeting, Uppsala, October 23-24, 1997

Organizer of summer school in biostatistics in Umeå, June, 1999 

Organizer of course "High-dimensional Data and Image Analysis" Joint course VISIT – NTM, August 5-6, 1999                

Organizer of ISI satellite meeting in Uppsala on Image Analyses, August, 1999  

Coorganizer of faculty day at SLU, November 2000

Coorganizer of Nordic summer school in Sigtuna, "Modeling and Analysis of Biological Processes and Systems", June, 2002         

Organizer of Nordic summer school in Umeå on "Pattern Recognition in high Dimensional Data and Complex Structures", June, 2004 

Organizer of an international 2 weeks workshop on the Wishart distribution in Sigtuna, June, 2004

Organizer of an international conference on matrices and statistics in Uppsala (IWMS2006), June 13-17, 2006                

Organizer and 50% lecturing CASCADE course at Karolinska Institute in "Statistics in Risk Assessment focusing on Dose Response Modelling", November 12-16, 2007

Organizer of Nordic summer school in Umeå on "Bootstrap Methods and Their Applications", June 15-27, 2008                

Coorganizer of conference NEUROMATH, Stockholm, September 13-14, 2008

Organizer of workshop within the project "Interdisciplinary Applied Mathematics with Focus on Modelling Subsystems of the Baltic Sea and Arctic Regions" Linköping, May 20-21, 2010       

Coorganizer of workshop within the project "Interdisciplinary Applied Mathematics with Focus on Modelling Subsystems of the Baltic Sea and Arctic Regions" Helsinki, August 25-27, 2010     

Organizer of workshop on High-dimensional Analysis, Jönköping, February 16-17, 2012                                                                 

Coorganizer of LINSTAT 2014 conference, Linköping, Sweden August 24--28, 2014  

Organizing Topic-Contributed session "Analysis with Kronecker product structured covariance matrices" at the Joint Statistical Meeting (JSM) in Boston, August 2-7, 2014

Coorganizer of faculty day at SLU, September, 2014

Organizer of session "Mixed linear models with applications to small area estimation" at CFE-CMStatistics, London, 16-18 December, 2017

Organizer of session "Mixed linear models analysis: new estimation methods and diagnostic tools" at CFE-CMStatistics, Pisa, 14-16 December, 2018

Places where an invited paper has been presented (2000-)

Antalya 2001; Madras 2002; Portland 2003, Pihla 2004; Poznan 2004; Tartu 2012 (Estonian Statistical Society); Poznan 2004; Sfax 2005; Kochin 2006; Montreal 2006; Sousse 2008; Tomar 2006 2008, 2010;  Moscow 2007; Compiegne 2008; Paris 2010; Smolenice 2011; Umeå 2012; Greensboro 2012, 2014, Vilnius 2014, Haikou 2015, Coimbra 2015, Shanghai 2007, 2010, 2015; Istanbul 2016; Sevilla 2016; Kigali 2017; Hong Kong 2005, 2017; Kolkata, 2012, 2013, 2015, 2017;  Bedlewo 2007, 2008, 2009, 2012, 2013, 2017, 2018; Beijing 2018; Växjö 2018; Hiroshima 2018.

Publikationer i urval

Peer-reviewed original articles, 2010-

1. von Rosen, T., von Rosen D., Volaufova, J. (2018). A new method for obtaining explicit estimators in unbalanced mixed linear models. To appear in Statistical Papers.

2. Ngaruye, I., von Rosen, D., Singull, M. (2018). Mean-Squared errors of small area estimators under a multivariate linear model for repeated measures data. To appear in  Comm. Statist. Theory Methods.

3. von Rosen, T., von Rosen, D. (2017). On estimation in some reduced rank extended growth curve models. Math. Methods Statist., 26, 299-310.

4. Hao, C., von Rosen, D., von Rosen, T. (2017). Influence diagnostics for count data under AB–BA crossover trials. Stat. Methods Med. Res., 26, 2938-2950.

5. Szczepanska-Álvarez, A., Hao, C., Liang, Y., von Rosen, D. (2017). Estimation equations for multivariate linear models with Kronecker structured covariance matrices. Comm. Statist. Theory Methods, 46, 7902-7915.

6. Ngaruye, I., Nzabanita, J., von Rosen, D., Singull, M. (2017). Small area estimation under a multivariate linear model for repeated measures data. Comm. Statist. Theory Methods, 46, 1-22.

7. Jana, S., Balakrishnan, N., von Rosen, D., Hamid, J. (2017). High dimensional extension of the growth curve model and its application in genetics. Statist. Meth. & Appl., 26, 273-292.

8. Pielaszkiewicz, von Rosen, D., J., Singull, M. (2017b). Testing independence via spectral moments.  In: Bebiano N. (ed.) Applied and Computational Matrix Analysis, pp. 263-274, MAT-TRIAD 2015. Springer Proc. in Math. & Statist., 192, Springer, Cham.

9. Pielaszkiewicz, J., von Rosen, D.,  Singull, M. (2017a). On E[\Pi_{i=0}^k tr\{W^{m_i}], where W\sim W_p(I,n). Comm. Statist. Theory Methods, 46, 2990-3005.

10. von Rosen, D. (2016). Profile analysis.  Wiley StatsRef: Statistics Reference Online. DOI: 10.1002/9781118445112.stat02458.pub2

11. Kollo, T., von Rosen, D., Valge, M. (2016). Hypotheses Testing on Covariance Structures: Comparison of likelihood ratio test, Rao's score test and Wald's score test. Stochastic and Data Analysis Methods and Demography, pp. 423-425, In : Bozeman, Oliveira & Skiadas (eds.),  AMSDA books, Athens.

12. Ngaruye, I, von Rosen, D, Singull, M. (2016). Crop yield estimation at district level for agricultural seasons 2014 in Rwanda. Afri. J. App. Stat., 3, 69-90.

13. Nzabanita, J., von Rosen, D., Singull, M. (2016). Bilinear regression model with Kronecker and linear structures for the covariance matrix. J. Afrika Statistika, 10, 827-837.

14. Nzabanita, J., von Rosen, D.,  Singull, M. (2015). Extended GMANOVA model with a linearly structured covariance matrix. Math. Methods Statist., 24, 280-291.

15. Li, Y., Udén, P., von Rosen, D. (2015). Erratum - A two-step PLS inspired method for linear prediction with group effect. Sankhya Ser. A., 77, 433-436.

16. Ahmad, R., von Rosen, D. (2015a). Tests for high-dimensional covariance matrices using the theory of U-statistics. J. Stat. Comput. Simul., 85, 2619-2631.

17. Nkurunziza, L., de Toro, A., von Rosen, D., Eckersten, H. (2015). Effects of extreme weather on yields of major cereal crops in Sweden: Analysis of long-term experiment data. Aspects of Applied Biology, 128, 165-172.

18. Li, Y., Udén, P., von Rosen, D. (2015) A two-step estimation method for grouped data with connections to the extended growth curve model and partial least squares regression. J. Multivariate Anal., 139, 347-359.

19. Liang, Y., von Rosen, D., von Rosen, T. (2015). On estimation in hierarchical models with block circular covariance structures. Ann. Inst. Statist. Math., 67, 773-791.

20. Ahmed, E., Fallahpour, S., von Rosen, D., von Rosen, T. (2015). Estimation of several intraclass correlation coefficients. Comm. Statist. Simulation Comput., 44, 2315-2328.

21. Imori, S., von Rosen, D. (2015). Covariance components selection in high-dimensional growth curve model with random coefficients. J. Multivariate Anal., 136, 86-94.

22. Ahmad, R., von Rosen, D. (2015b). Tests of covariance matrices for high dimensional multivariate data under non-normality. Comm. Statist. Theory Methods, 44, 1387-1398.

23. Hao, C., von Rosen, D., von Rosen, T. (2015). Explicit influence analysis in two-treatment balanced crossover models. Math. Meth. Statist., 24, 16-36.

24. Pielaszkiewicz, J., von Rosen, D., Singull, M. (2014). Cumulant--Moment relation in Free Probability theory. Acta Comment. Univ. Tartu. Math., 18, 265-278.

25. Hao, C., von Rosen, D., von Rosen, T. (2014). Local influence analysis in AB-BA cross-over designs. Scand. J. Stat., 41, 1153-1166.

26. Ricker, M., Pena Ramirez V.M., von Rosen, D. (2014). A new method to compare statistical tree growth curves: The PL-GMANOVA model and its application with dendrochronological data. PLoSONE, 9, e112396. doi:10.1371/journal.pone.0112396.

27. Li, Y., Udén, P., von Rosen, D. (2013). A two-step PLS inspired method for linear prediction with group effect. Sankhya  Ser. A, 75, 96-117.

28. Ohlson, M., Ahmad, R., von Rosen, D. (2013). The multilinear normal distribution: Introduction and some basic properties. J. Multivariate Anal., 113, 37-47.

29. Ahmad, R., von Rosen, D., Singull, M. (2013). A note on mean testing for high dimensional multivariate data under non-normality. Stat. Neerl., 67, 81-99.

30. Li, Y., von Rosen, D. (2012).  Maximum likelihood estimators in a two step model for PLS. Comm. Statist. Theory Methods, 41, 2503-2511.

31. Forkman, J., Amiri, S., von Rosen, D.  (2012). Effect of region on the uncertainty in crop variety trial programs with a reduced number of trials.  Euphytica, 186, 489-500.

32. Filipiak, K., von Rosen, D. (2012). On MLEs in an extended multivariate linear growth curve model. Metrika, 75, 1069-1092.

33. Liang, Y., von Rosen, D., von Rosen, T. (2012). On estimation in multilevel models with block circular symmetric covariance structure. Acta Comment. Univ. Tartu. Math., 16, 83-96.

34. Nzabanita, J., Singull, M., von Rosen, D. (2012). Estimation of parameters in the extended growth curve model with a linear structured covariance matrix. Acta Comment. Univ. Tartu. Math., 16, 13-32.

35. Tian, Y., von Rosen, D. (2012). Solving the matrix inequality AXB+(AXB)*< C. Math. Inequal. Appl., 15, 537-548.

36. Singull, M., Ahmad, R., von Rosen, D. (2012). More on the Kronecker structured covariance matrix. Comm. Statist. Theory Methods, 41, 2512-2523.

37. Amiri, S., von Rosen, D. (2011). On the efficiency of Bootstrap method into the analysis contingency table. Computer Methods and Programs in Biomedicine, 104, 182-187.

38. Kollo, T., von Rosen, T., von Rosen, D. (2011). Estimation in high-dimensional analysis and multivariate linear models. Comm. Statist. Theory Methods, 40, 1241-1253.

39. Srivastava M., Kollo, T., von Rosen, D. (2011). Some tests for the covariance matrix with fewer observations than the dimension under non-normality.  J. Multivariate Anal., 102, 1090-1103.

40. Hamid, J.S., Beyene, J., von Rosen, D. (2011). A novel trace test for the mean parameters in a multivariate growth curve model.  J. Multivariate Anal., 102, 238-251.

41. Ohlson, M., Andrushchenko, Z., von Rosen, D. (2011). Explicit estimators under m-dependence for a multivariate normal distribution. Ann. Inst. Statist. Math., 63, 29-42.

42. Amiri, S., von Rosen, D., Zwanzig, S. (2010). A comparison of bootstrap methods for variance estimation.  J. Stat. Theory Appl., 9,  507-527.

43. 6. Mathew, T., Nahtman T., von Rosen, D., Sinha B.K. (2010). Nonnegative estimation of variance components in heteroscedastic one-way random effects ANOVA models. Statistics, 44, 557-569.

44. Wahlund, B., Klonowski, W., Stepien, P., Stepien, R., von Rosen, T., von Rosen, D. (2010). EEG data, fractal dimension and multivariate statistics. J. Computer Sciences and Engineering, 3, 10-16.

45. 5. Srivastava, M.S., von Rosen, T., von Rosen, D.  (2010).  Response to comment by C. H. Lee, P. Dutilleul and A. Roy on "Models with a Kronecker product covariance structure: estimation and testing", Math. Meth. Statist., 19, 91.

46. von Rosen, T., von Rosen, D. (2010). On a class of singular nonsymmetric matrices with nonnegative integer spectra. Contemporary Mathematics, 516, American Mathematical Society, 319-324.

47. Nahtman, T., von Rosen, D. (2010).  On a new class of singular nonsymmetric matrices with nonnegative integer spectra. Matrix Methods: Theory, Algorithms and Applications: Dedicated to the Memory of Gene Golub, Eds.~Vadim Olshevsky, Eugene Tyrtyshnikov, World Scientific Publishing, 140-165.

48. Ohlson, M., von Rosen, D. (2010). Explicit estimators of parameters in the growth curve model with linearly structured covariance matrices. J. Multivariate Anal., 101, 1284-1295.

49. Sand, S., Fletcher, N., von Rosen, D., Kalantari, F., Viluksela, M., Tuomisto, J.T., Tuomisto, J., Falk-Filipsson, A., Håkansson, H. (2010). Quantitative and statistical analysis of differences in sensitivity between Long-Evans and Han/Wistar rats following long-term exposure to 2,3,7,8-Tetrachlorodibenzo-p-dioxin. Regulatory Toxicology and Pharmacology, 57, 136-145.

 

Book

1. von Rosen, D. (2018). Bilinear Regression Analysis: An Introduction. Accepted by Springer. To appear in Lect. Notes Stat., 210, Springer-Verlag, New York. pp. 1--450 (ISBN 978-3-319-78784-8)

Peer-reviewed edited volume

1. Trends and Perspectives in Linear Statistical Inference (2018). Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey (editors Müjgan Tez, Dietrich von Rosen), Springer, New York.
 

Other publications

1. de Toro, A., Eckersten, H., Nkurunziza, L., von Rosen, D. (2015). Effects of extreme weather on yield of major arable crops in Sweden. SLU Service/Repro, Uppsala, pp. 1-301. (Fulltext: http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3058 ) (non-reviewed book)

2. von Rosen, T., von Rosen, D. (2015). Explicit estimators in unbalanced mixed linear models. (In {\it Festschrift in honor of professor Ghazi Shukur on the occasion of his 60th birthday}, Ed. Thomas Holgersson, pp. 121-125), Linnaeus University Press, Växjö, Sweden. (non-reviewed book chapter)

3. Eckersten, H., Djurle, A., Albihn, A., Andersson, L., Båge, R., de Toro, A., Gärdenäs, A., Hultgren, J., Kvarnheden, A., Lewan, E., Nkurunziza, L., Rosén, K., Spörndly, R., Vågsholm I., von Rosen, D., Yuen, J.~\& Magnusson, U. (2015). Framtida risker och hot mot svensk spannmåls- respektive mjölkproduktion en analys av forskningsbehov för att bedöma risker. Uppsala: Framtidens lantbruk - djur, växter och markanvändning, pp. 1-156. Fulltext: http://pub.epsilon.slu.se/id/eprint/12932. (non-reviewed book)

4. Filipiak, K., von Rosen, D. (2012). Preface Commun. Statist. -Theor. Meth., 41, 2281-2282. (conference proceedings)

5. Kozlov, V., Ohlson, M., von Rosen, D. (2011). Proceedings of Workshops on Inverse Problems, Data, Mathematical Statistics and Ecology. (Eds.~Kozlov, V., Ohlson, M., von Rosen, D.), 1-136, LiTH-MAT-R--2011/11--SE, Linköping University. (non-reviewed proceedings)


Kontaktinformation
Professor vid Institutionen för energi och teknik; Biometri och systemanalys
Telefon: 018-672025
Postadress:
Inst för energi och teknik, Box 7032
75007 UPPSALA
Besöksadress: Lennart Hjelms väg 9, Uppsala