Diana Santalova Thordarson
Job description
The Research Support Team is an administrative resource helping the dean’s office in coordinating and providing informational and operational support to Faculty researchers. The team is the point of contact between academic staff (Nivå 2) and UiT (Nivå 1) and works closely with the vice dean of research and PhD study program leader.
Work areas
Theses/dissertations / Cristin / Disputation / EU / External funding / Research support / Research funding / The Research Council of Norway / Research cooperation / InnovationThe 50 latest publications is shown on this page. See all publications in Cristin here →
Publications outside Cristin
1. Andronov A., Dalinger I., Santalova D. (2020) Problem of Overbooking for a Case of a Random Environment Existence. In: Vishnevskiy V., Samouylov K., Kozyrev D. (eds.) Distributed Computer and Communication Networks. DCCN 2020. Lecture Notes in Computer Science, vol 12563. Springer, Cham. Pp. 393-405. https://doi.org/10.1007/978-3-030-66471-8_30.
2. Andronov A., Spiridovska N., Santalova D. (2020) On a parametric estimation for a convolution of exponential densities. In: J. Pilz, D. Rasch and A. Bathke (eds.) Simulation, DoE and Statistics – Methods and Applications. SimStat, Salzburg, 2019. Springer Proceedings on Mathematics and Statistics. Accepted.
3. Andronov A., Jackiva (Yatskiv) I., Santalova D. (2019) Estimation of the Parameters of Continuous-Time Finite Markov Chain. In: Vishnevskiy V., Samouylov K., Kozyrev D. (eds.) Distributed Computer and Communication Networks. DCCN 2019. Lecture Notes in Computer Science, vol 11965. Springer, Cham. Pp. 195-206. ISSN 0302-9743.
4. Santalova D. (2014) On a Generalization of the Modified Gravity Model, Topics in Statistical Simulation, Research Papers from the 7th International Workshop on Statistical Simulation, V.B.Melas, S.Mignani, P.Monari and L.Salmaso (eds), Springer Proceedings in Mathematics & Statistics, 2014, Vol. 114, pp.439 - 446. ISSN 2194-1009.
5. Santalova D. (2013) Experimental Analysis of Statistical Properties of Parameter Estimates of Modified Gravity Model. Automatic Control and Computer Science, 2013, Vol. 47, No. 2, pp. 99-106. ISSN 0146-4116 © Allerton Press, Inc., 2013. Original Russian Text © D. Santalova, 2013, published in Avtomatika i Vychislitel’naya Tekhnika, 2013, No. 2, pp. 60–69.
6. Peshkova I., Santalova D. On Application of Weak Regeneration in Simulation of Complex Inventory Control Systems. Scientific Journal Proceedings of Petrozavodsk State University, series Natural & Engineering Sciences, Vol. 2, No. 8(129), (2012). ISSN: 2542-1077.
7. Andronov A., Santalova D. Statistical estimates for modified gravity model by aggregated data. Communications in Statistics - Simulation and Computation, Taylor & Francis, 2012, 41:6, pp. 730-745. ISSN: 0361-0918.
8. Peshkova I., Santalova D. On an Optimal Inventory Problem for Multi-echelon Production System. The 11th International Conference on Reliability and Statistics in Transportation and Communication (RelStat’11). 2011, October 19-22, Latvia, Riga. – Riga: Transport and Telecommunication Institute, 2011, pp. 249-254. ISBN 978-9984-818-46-7.
9. Santalova D. Forecasting of Passenger Conveyances in Latvian Regions Applying Semiparametric Regression Models. The Scientific Journal of Riga Technical University: Transport and Engineering – Intelligent Transport Systems, series 6, vol. 34, 2010, pp. 141-147. ISSN: 1407-8015.
10. Andronov A., Santalova D. On Nonlinear Regression Model for Correspondence Matrix of Transport Network. The XIIIth International Conference on Applied Stochastic Models and Data Analysis. 2009, June 30 – July 3, Lithuania, Vilnius. – Vilnius: Vilnius University, Applied Stochastic Models and Data Analysis International Society, L.Sakalauskas, C.Skiadas and E.K.Zavadskas (Eds.), 2009, pp. 90-94. ISBN 978-9955-28-463-5.
11. Santalova D. The Use of Multivariate Regression Model to Forecast the Freight Air Transportations in the Members Countries of the Europe Union. The International Conference „Modelling of Business, Industrial and Transport Systems – 2008”. 2008, May 7 – 10, Latvia, Riga. – Riga: TSI, 2008, pp. 258 – 266.
12. Kopytov E, Santalova D. Application of the Single Index Model for Forecasting of the Inland Conveyances. Recent Advances in Stochastic Modelling and Data Analysis. Editor: Christos H. Skiadas. – Singapore: World Scientific Publishing Co Pte Ltd., 2007, pp. 268 – 276. ISBN: 978-981-270-968-4.
13. Santalova D. Forecasting of Rail Freight Conveyances in EU Countries on the Base of the Single Index Model. Computer Modelling and New Technologies. – Vol. 11, No. 1. (2007), pp. 73 – 83. ISSN: 1407-5806.
14. Santalova D. Regression Model of Sales Volume from Wholesale Warehouse. 13th International Conference on Analytical and Stochastic Modelling Techniques and Applications. 2006, May 28 – 31, Germany, Bonn, Sankt Augustin.– Bonn: Bonn-Rhein-Sieg University of Applied Science, Khalid Al-Begain (Ed.), 2006, pp. 133 – 137.
15. Andronov A., Zhukovskaya C. and Santalova D. On Mathematical Models for Analysis and Forecasting of the Europe Countries Conveyances. The Scientific Journal of Riga Technical University: Computer Science – Information Technology and Management Science, series 5, vol. 28, 2006, pp. 96 – 106. ISSN: 1407-7493.
16. Jackiva I., Santalova D. Faktoru analīzes izmantošana transporta nozares attīstības tendenču noteikšanai ES valstīs. Scientific Journal of RTU, series 6, vol. 18, 2005, pp. 139 – 147. ISSN: 1407-8015.
17. Santalova D. Vairumtirdzniecības noliktavas pārdošanu lieluma regresijas modelis. Scientific Journal of RTU, series 6, vol. 18, 2005, pp. 67 – 73. ISSN: 1407-8015.
Research interests
Data analysis, machine learning, and stochastic processes.
