Igor Zurbenko

Igor Zurbenko, PhD

Examines forecast applications for public health, global warming and the U.S. economy.

The World Within Reach
Igor Zurbenko, PhD

School of Public Health
Department: Epidemiology and Biostatistics

One University Place GEC
518-402 - 0393



Doctor of Probability and Statistics (DrPS), 1980, Moscow State University, (Special Postdoctoral Degree awarded for internationally recognized Scientific Achievements).
Ph.D. in Statistics, 1971, Moscow State University.
M.S. in Statistics, 1970, Moscow State University.

Courses Frequently Taught:

Intensive lecturing was provided on the following subjects: General probability and statistics, Time series in a time and frequency domain, Spectral analysis, Advanced time series, Multivariate analysis, Linear methods, Nonparametric statistical inferences, Survival analysis, Markov chains and Brownian motions, Sample survey, Models in Biology, Environmental statistics, Models in Epidemiology, Signal processing, Stochastic processes, Computer methods of simulations.

Research Interests

Apply Time series and Spatial data analysis, computational algorithms for the discovery breaks in the data and special image reconstruction. Applications in environmental pollutions, climate, social and economic data, health and biomedical data. Parametric and nonparametric data analysis, multivariate analysis, spectral analysis. 



• G.DiRienzo, I.Zurbenko, Semi-Adaptive nonparametric spectral estimation, Journal of Computational and Graphical Statistics, V.8, No1, 41-59,1999.

• Igor G. Zurbenko and Devin Smith, Kolmogorov–Zurbenko filters in spatiotemporal analysis, Wiley Periodicals, WIREs Comp Stat 2017. doi: 10.1002/wics.1419

• B.Close, I Zurbenko, Kolmogorov-Zurbenko adaptive filters, KZA, 2016, version 4, R-software, http://cran.r-project.org/web/packages/kza/index.html

• I. Zurbenko ,M. Sun, Applying Kolmogorov-Zurbenko Adaptive R-Software, International Journal of Statistics and Probability; Vol. 6, No. 5; September 2017 http://www.ccsenet.org/journal/html/ijsp/articles/69632.html

• Kolmogorov-Zurbenko Filters, Wikipedia, http://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Zurbenko_filter

• D.Nadler, I. Zurbenko, Estimating Cancer Latency Times Using a Weibull Model,
Statistics in Medicine - SIM-14-0232, 2014. http://www.hindawi.com/journals/aep/2014/746769

• E.Valachovic , I. Zurbenko, Skin Cancer, Irradiation and Sunspots: The Solar Cycle Effect, BioMed Research International, Volume 2014, Article ID 538574, 9 pages

• Igor G. Zurbenko, Mingzeng Sun, Associations of Jet Streams with Tornado Outbreaks in the North America, Atmospheric and Climate Sciences, , 5, 336-344. http://dx.doi.org/10.4236/acs.2015.53026

• Zurbenko, I. and Luo, M. (2015) Surface Humidity Changes in Different Temporal Scales. American Journal of Climate Change, 4, 226-238. doi: 10.4236/ajcc.2015.43018.

• I.Zurbenko, A.Potrzeba, 2013, Periods of excess energy in extreme weather events, Journal of Climatology, Volume 2013, http://dx.doi.org/10.1155/2013/410898,

• K.Tsakiri, I.Zurbenko, Prediction of Ozone Concentrations using Atmospheric Variables, Journal Air Quality, Atmosphere & Health, 2010, Volume 4, Number 2, 111-120, DOI: 10.1007/s11869-010-0084-5

• Edward Valachovic, Igor Zurbenko, Solar Irradiation and the Annual Component of Skin Cancer Incidence, Biometrics & Biostatistics International Journal, 2014, 1,3,

• Igor G Zurbenko, Mingzeng Sun, Jet Stream as a major factor of tornados in USA, Atmospheric and Climate Sciences (ACS), Vol.6 No.2 2016, pp236-253, DOI: 10.4236/acs.2016.62020 http://www.scirp.org/journal/ACS/.

• I.Zurbenko, A.Potrzeba, Tides in the Atmosphere, Air Quality, Atmosphere and Health, March 2013, Volume 6, Issue 1, pp 39-46.

• Zurbenko I.G., Cyr D.D., 2013, Climate fluctuations in time and space, Climate Research, Vol. 57: 93–94, 2013, doi: 10.3354/cr01168

• W.Yang, I.Zurbenko, Kolmogorov-Zurbenko filters, Wiley interdisciplinary revives in
computational statistics, Wiley 2010, WIREs in Computational Statistics 2:340-35