Mg. math. Juris Breidaks

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Mg. math. Juris Breidaks

Mg. math. Juris Breidaks

Bijušais EDI pētnieks

Juris Breidaks strādā EDI kopš 2020 gada, veicot pētījumus attēlu apstrādes algoritmu pilnveides jomā.
Viņa pētnieciskā darba intereses ir attēlu apstrāde, statistiskā modelēšana un novērtēšana,
varbūtības blīvuma funkciju analīzes metožu izstrāde. Viņš ir biedrs Latvijas Statistiķu asociācijā (LSA), Latvijas Matemātiķu biedrībā (LMB),
Viņš sadarbojas ar nozares ekspertiem, lai izstrādātu algoritmus, kuri efektīvi risina problēmas, izmantojot Python, Matlab, R u.c. programmēšanas valodas.

 

Saistītās publikācijas:

1. Breidaks, J., Veretjanovs,. V., Ivanova, S., The variance estimation for the measures of change for multistage cluster sampling designs using software R, 2015, APLIMAT 2015, 14th Conference on Applied Mathematics, Proceedings, p. 115–133, 2015, ISBN: 978-802274314-3.

2. Breidaks, J., Variance Estimation Using Package vardpoor in R, Romanian Statistical Review nr. 2 / 2015, p. 24-38, 2015, ISSN(online): 1844-7694
https://www.revistadestatistica.ro/2015/04/variance-estimation-using-package-vardpoor-in-r/.

3. Skromulis, A., Breidaks, J., Effect of environmental factors on air ion concentration, Environment.Technology.Resources. Proceedings of the 10th International Scientific and Practical Conference June 18-20, 2015. Volume 2, Environment, Technology, Resources, p. 274–279, https://doi.org/10.17770/etr2015vol2.241.

4. Asmuss, S., Breidaks, J., Budkina, N. On Approximation of Density Function by Shape Preserving Smoothing Histospline. No: 15th Conference on Applied Mathematics (APLIMAT 2016): Proceedings, Slovākija, Bratislava, 2.-4. februāris, 2016. Bratislava: Slovak University of Technology, 2016, 30.-43.lpp. ISBN: 978-802274531-4.

5. Skromulis, A., Breidaks, J., Teirumnieks, E., Effect of Atmospheric Pollution on Air Ion Concentration, Energy Procedia, 113, p. 231–237, 2017,  https://doi.org/10.1016/j.egypro.2017.04.059.

6. Breidaks, J., At-risk-of-poverty threshold variance estimations using Gaussian kernel and smoothing splines in R, Workshop of the Baltic-Nordic-Ukrainian Network on Survey Statistics 2018, 2018, p. 9-18, ISBN(PDF): 978-9984-06-528-1,
http://www.statistikuasociacija.lv/workshop2018/files/BNU2018-proceedings-web.pdf

7. Tadema, W., Pollé, E. J.,Jonge, de E., Breidaks, J., R package nlgeocoder: Geocoding for the Netherlands, 2018, https://cran.r-project.org/web/packages/nlgeocoder/index.html.

8. Breidaks, J., Variance estimation for annual point estimates and net changes for LFS using R package vardpoor, 2018, Romanian Statistical Review 4/2018, 6th International Conference – the Use of R in Official Statistics uRos2018, ISSN(online): 1844-7694, https://www.revistadestatistica.ro/2018/12/variance-estimation-for-annual-point-estimates-and-net-changes-for-lfs-using-r-package-vardpoor/.

9. Breidaks, J., Liberts M., Jukams, J., R package: surveyplanning: Survey Planning Tools [version 4.0], 2020,
https://cran.r-project.org/web/packages/surveyplanning/index.html.

10. Liberts, M., Breidaks, J., Ivanova, S., R package vardpoor: Variance Estimation for Sample Surveys by the Ultimate Cluster Method [version 0.20.0], 2020, https://cran.r-project.org/web/packages/vardpoor/index.html.

11. Breidaks, J., R package surveyweighting: Survey weighting [version: 0.7], 2020, https://github.com/CSBLatvia/surveyweighting
Nonresponse correction, calibration with absolute and relative errors.

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