Curriculum Vitae Jānis Valeinis

PERSONAL INFORMATION / Jānis Valeinis
/ Kudras 7-33, LV-1083, Riga, Latvia
22017445


SexMale| Date of birth25/07/1978| NationalityLatvian
WORK EXPERIENCE /
2013 – / University of Latvia, Faculty of Physics and Mathematics, leading researcher
Business or sectorEducation
WORK EXPERIENCE /
2008 – / University of Latvia, Faculty of Physics and Mathematics, assistant professor
Business or sectorEducation
WORK EXPERIENCE /
2007 – 2008 / University of Latvia, Faculty of Physics and Mathematics, researcher, lecturer.
Business or sectorEducation
WORK EXPERIENCE /
2001 – 2003 / University of Kaiserslautern. Germany. Part time job in Fraunhofer Institute (ITWM)
Business or sectorResearch
WORK EXPERIENCE /
2000 – 2001 / University of Latvia, Faculty of Physics and Mathematics, lecture assistant
Business or sectorEducation
WORK EXPERIENCE /
1998 – 2001 / GeneralCologne Re Riga, SIA, life reinsurance underwriter (part time job)
Business or sectorInsurance
EDUCATION AND TRAINING /
2003 – 2007 / Finished PhD program “Applied Statistics and Empirical Methods”, obtained PhD degree in mathematics with specialization in statistics. Thesis topic „Confidence bands for structural relationship models”
University of Goettingen, Germany
EDUCATION AND TRAINING /
2001 – 2003 / Master degree in mathematics with specialization in financial mathematics (with honors). Thesis topic „Neyman smooth tests for dependent observations”
University of Kaiserslautern, Germany
EDUCATION AND TRAINING /
2000 – 2001 / Master degree in mathematical statistics (with honours). Thesis topic „Neimaņa gludie testi atkarīgiem novērojumiem”
University of Latvia, Faculty of Physics and Mathematics, Latvia
EDUCATION AND TRAINING /
1996 – 2000 / Higher professional education with qualification of mathematician-statistician (with honors). Thesis topic „Daudzstāvokļa modeļa izmantošana dzīvības apdrošināšanā”
University of Latvia, Faculty of Physics and Mathematics, Latvia
EDUCATION AND TRAINING /
1993 – 1996 / Secondary education
Riga Commerce School
EDUCATION AND TRAINING /
1986 – 1993 / Primary education (with honors).
Riga Secondary School Nr. 84
PERSONAL SKILLS /
Mother tongue(s) / Latvian
Other language(s) / UNDERSTANDING / SPEAKING / WRITING
Listening / Reading / Spoken interaction / Spoken production
Russian / C1 / C1 / C1 / C1 / C2
English / C1 / C1 / C1 / C1 / C1
German / C1 / C1 / C1 / C1 / C2
Computer skills / ▪good knowledge of Microsoft Office™ tools
▪good knowledge of R, SPSS, MATLAB, MAPLE
Driving licence / ▪B
ADDITIONAL INFORMATION /
  1. Scientific qualification–PhD degree in mathematics (with specialization to statistics). Thesis topic„Confidence bands for structural relationship models”; supervisor – prof.dr.math. Axel Munk, 2007, Goettingen, Germany
  1. Scientific interests–Empirical likelihood function, robust statistics, nonparametric statistics, dependent data, goodness-of-fit tests, two-sample location-scale models, ROC curves, biostatistics
  1. Membership of professional bodies
  • Member of the commission of German Academic Exchange Service (DAAD).Scholarship evaluation for mathematicians from Latvia (from 2011);
  • Member of the commission for diploma defendingfor mathematicians statisticians in the University of Latvia, Faculty of Physics and Mathematics (from 2009);
  • Member of the Council of the Faculty of Physics and Mathematics, University of Latvia (from 2010).
  • Expert of the Latvian Council of Science (elected till 2015).
  1. Research projects
  • Leader of the LU project „The analysis of structural (semiparametric) relationship models and application in Latvia's medical statistics. Nr. B-ZB81-100 (2008-2010);
  • Member of the ESF project „Atomic and technological environment of continuous physical process modelling, mathematical methods of quality improvement and research” Nr. 2009/0223/1DP/1.1.1.2.0/09/APIA/VIAA/008 (2009 - 2012).
  • Member of the ERAF project “The Study Of Vision And Visual Perception Disorders In School-Age Children in Latvia”Nr.2011/0004/2DP/ 2.1.1.1.0/10/APIA/VIAA/027 (2013 - ).
  1. Guidance of PhD and masters thesis. In last 6 years 17master thesis and 3 PhD thesis (ongoing)
  • Sandra Vucāne „Bartlett correction for the empirical likelihood method for the two-sample mean problem” (from 2010);
  • Māra Vēliņa „Empirical likelihood based methods with applications in biostatistics” (from 2012);
  • Leonora Pahirko “Emprical likelihood for two-sample problems” (from 2013).
  1. List of publications
  • J. Valeinis (2007). Confidence bands for structural relationship models. PhD thesis, Goettingen, Germany.
  • J. Valeinis, E. Cers, J. Cielēns (2010). Two-sample problems in statistical data modelling. Mathematical modelling and analysis, 15 (1), 137-151.
  • H. Kārkliņa, Dž. Krūmiņa, G. Knipše, I. Kokare, J. Valeinis. (2010). The Changes in Body Height, Body Weight and BMI Values of Latvian Preschool Children During the Last Decade. LU raksti, medicīna, 755.sējums, 31.-40.lpp.
  • Kārkliņa H., Krūmiņa Dž., Knipše G., Valeinis J. (2010). Body mass analysis in primary school age children in Latvia. Journal of epidemiology and community health, 65, A339-A340.
  • J. Valeinis, E. Cers, J. Cielēns (2010). Two-sample problems in statistical data modelling. Mathematical modelling and analysis, 15(1), 137-151.
  • N. Siņenko, J. Valeinis (2011). On Comparison of Univariate Forecasting Methods: The Case of Latvian Residential Property Prices. // Proceeding of the 10th International Conference APLIMAT’ 2011. Bratislava: Slovak University of Technology, Slovak Republic, 1637-1644.
  • A. Munk, J.-P. Stockis, J. Valeinis and G. Giese (2011). Neyman smooth goodness-of-fit tests for the marginal distribution of dependent data, Annals of the Institute of Statistical Mathematics, 63(5), 939-959.
  • J. Valeinis, E. Cers (2011). EL: Two sample empirical likelihood, R package version 1.0. (
  • J. Valeinis, A. Locmelis (2012). Bickel-Rosenblatt test for dependent observations, Mathematical modelling and analysis, 17(3), 383-395.
  • K. Ērglis, D. Zhulenkovs, M. Belovs, J. Valeinis, A. Cēbers (2012). Band formation by magnetotactic spirillum bacteria in oxygen concentration gradient, Magnetohydrodynamics, 48(4), 607-614.
  • H. Karkliņa, Dz. Krumina, I. Ebela, J. Valeinis, G. Knipse (2013). A Cross-Sectional Research on the Height, Weight and Body Mass Index of Children Aged 5–6 Years in Latvia and Its Secular Changes during the Last Century. Central European journal of public health, 21(1), 3-7
  • S. Vucane, J. Valeinis and G. Luta. (2013). Confidence intervals for the mean based on exponential type inequalities and empirical likelihood. ISRN Biomathematics vol. 2013, Article ID 765752, 8 pages, 2013. doi:10.1155/2013/765752.
  1. Conferences
  • J. Valeinis, A.Munk, E.Cers (2008). Extending the two-sample empirical likelihood method, 7th World Congress in Probability and Statistics, Singapore, Abstract book, p.198
  • J. Valeinis (2008). Neyman tests for dependent data, Abstracts of the 22nd Nordic Conference on Mathematical Statistics, Vilnius, Lithuania, Abstract book, p.67
  • J. Valeinis, E. Cers, J. Cielens (2009). Two-sample problems in statistical data modelling. 14th International Conference on Mathematical Modelling and Analysis, Daugavpils, Latvia
  • J. Valeinis (2010). Recent trends in nonparametric statistics. Abstracts of the 8.Latvian Mathematical Conference, Rezekne, Latvia.
  • J. Valeinis (2010). Goodness-of-fit tests for weakly dependent data. Abstracts of the 10th International Vilnius Conference on Probability and Mathematical Statistics, Vilnius, Lithuania
  • J. Valeinis (2011). Recent trends in robust statistics. 16th International Conference on Mathematical Modelling and Analysis, Sigulda, Latvia.
  • J. Valeinis, M. Velina, G. Luta (2011). Empirical likelihood-based inference for the difference of smoothed Huber estimators, International conference on Robust Statistics 2011, Valladolid, Spain.
  • J. Valeinis (2011). Two-sample plug-in empirical likelihood method with applications to structural relationship models, 58th World Statistics Congress (ISI2011), Dublin, Ireland.
  • Valeinis J. (2012). Change-point analysis in time series, Abstracts of the 9.Latvian Mathematical Conference, Rezekne, Latvia.
  • J. Valeinis (2012). Two-sample blockwise empirical likelihood for weakly dependent data with applications to change-point analysis. Abstracts of the 8th World Congress in Probability and Statistics, Istanbul, Turkey. p.231.
  • M. Velina, J. Valeinis, G. Luta (2012). Empirical Likelihood-based Methods for the Difference of Two Trimmed Means, International conference on Robust Statistics 2012, Vermont, USA.
  • J. Valeinis, L. Januseva (2012). Confidence bands for general shift function. 17th International Conference on Mathematical Modelling and Analysis, Tallin, Estonia.
  • L. Pahirko, J. Valeinis (2012). „Empirical likelihood of survival data”. 17th International Conference on Mathematical Modelling and Analysis, Tallin, Estonia.
  • I. Dasmane, J. Valeinis (2012). Long memory parameter estimation using several wavelet based methods, 17th International Conference on Mathematical Modelling and Analysis, Tallin, Estonia.
  • J. Valeinis, S. Vucane (2013). Robust two-sample empirical likelihood tests with applications to change-point analysis, Saint Petersburg, Russia.
  • M. Velina, J. Valeinis and G. Luta (2013). Robust inference using empirical likelihood based ANOVA methods, Saint Petersburg, Russia.
  • M. Velina, J. Valeinis (2013). Empirical likelihood – based robust inference for trimmed means, 18th International Conference on Mathematical Modelling and Analysis, Tartu, Estonia
  • S. Vucane, J. Valeinis (2013). Two-sample blockwise empirical likelihood, 18th International Conference on Mathematical Modelling and Analysis, Tartu, Estonia.
  • M. Velina, J. Valeinis (2013). Empirical likelihood – based robust inference for trimmed means, 18th International Conference on Mathematical Modelling and Analysis, Tartu, Estonia.
  • S. Barvika, T. Tambovceva un J. Valeinis (2013). Theoretical aspects of possible improvements to the mass valuation model in Latvia. Riga Technical University 54th international scientific conference, Riga Technical University, Riga.
  • J. Valeinis (2013). Robustas un neparametriskas metodes statistisko datu apstrādei. Latvijas Universitātes ERAF projekta „ Skolas vecuma bērnu redzes un redzes uztveres traucējumu pētīšana un diagnostikas metodiku izstrāde*” noslēguma zinātniskā conference, Latvijas Universitāte, Rīga.

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