Curriculum Vitae
PERSONAL INFORMATION
Jānis Valeinis
Jānis Valeinis
Kudras 7-33, LV-1083, Riga, Latvia
22017445
valeinis@lu.lv
http://home.lu.lv/~valeinis/
Sex Male | Date of birth 25/07/1978 | Nationality Latvian
WORK EXPERIENCE
2013 –
University of Latvia, Faculty of Physics and Mathematics, leading
researcher
Business or sector Education
WORK EXPERIENCE
2008 –
University of Latvia, Faculty of Physics and Mathematics, assistant
professor
Business or sector Education
WORK EXPERIENCE
2007 – 2008
University of Latvia, Faculty of Physics and Mathematics, researcher,
lecturer.
Business or sector Education
WORK EXPERIENCE
2001 – 2003
University of Kaiserslautern. Germany. Part time job in Fraunhofer Institute
(ITWM)
Business or sector Research
WORK EXPERIENCE
2000 – 2001
University of Latvia, Faculty of Physics and Mathematics, lecture assistant
Business or sector Education
WORK EXPERIENCE
1998 – 2001
GeneralCologne Re Riga, SIA, life reinsurance underwriter (part time job)
Business or sector Insurance
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
© Eiropas Savienība, 2002-2012 | http://europass.cedefop.europa.eu
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Curriculum Vitae
2001 – 2003
Jānis Valeinis
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 mathematicianstatistician (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
Driving licence
▪ good knowledge of Microsoft Office™ tools
▪ good knowledge of R, SPSS, MATLAB, MAPLE
▪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
2. Scientific interests – Empirical likelihood function, robust statistics, nonparametric statistics, dependent
data, goodness-of-fit tests, two-sample location-scale models, ROC curves, biostatistics
© Eiropas Savienība, 2002-2012 | http://europass.cedefop.europa.eu
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Curriculum Vitae
Jānis Valeinis
3. 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 defending for 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).
4. 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 - ).
5. Guidance of PhD and masters thesis. In last 6 years 17 master 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).
6. List of publications
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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), 939959.
J. Valeinis, E. Cers (2011). EL: Two sample empirical likelihood, R package version 1.0. (http://cran.rproject.org/web/packages/EL/EL.pdf).
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.
© Eiropas Savienība, 2002-2012 | http://europass.cedefop.europa.eu
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7. Conferences
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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.
© Eiropas Savienība, 2002-2012 | http://europass.cedefop.europa.eu
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