J. Breidaks is working in EDI since 2020, focusing on the development of image processing algorithms. His research interests are in image processing, statistical modelling and evaluation, development of methods for the analysis of probability density functions. He is a member of the Latvian Association of Statisticians (LSA), the Latvian Society of Maticians (LMB). He is working with industry experts to develop algorithms that effectively address problems using Python, Matlab, R, etc.
Related publications:
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.
Automated identification of mires and peatlands using multi-temporal satellite data (MireClass)