Statistics - Theory and Applications

Mathematics and Statistics

Statistics - Theory and Applications

INAR models, count time series, stochastic processes, thinning operators, random environments, regime-switching models, discrete-valued modeling, time series inference, applied statistics.

Stochastic modeling of integer-valued time series, with emphasis on regime-switching, and thinning-based frameworks.

• Construction and analysis of INAR and INAR-like models for count data
• Regime-switching and random environment processes
• Statistical inference for non-stationary time series
• Model-based clustering and state estimation
• Applications in reliability, demography, epidemiology, finance, and social systems

          Team Members

          # Name Role Institution Title ORCID PhD Email Expertise
          1Aleksandar S. NastićleaderUniversity of Niš, Faculty of Sciences and MathematicsFull Professor0000-0003-4703-6492Yesaleksandar.nastic@pmf.edu.rs; anastic78@gmail.comTime Series Analysis, Statistical Software, Multivariate analysis
          2Miodrag S. ĐorđevićmemberUniversity of Niš, Faculty of Sciences and MathematicsAssociate Professor0000-0002-4642-0348Yesmiodrag.djordjevic@pmf.edu.rsTime Series Analysis, Statistical quality control, Applied statistics
          3Milena S. StojanovićmemberUniversity of Niš, Faculty of Sciences and MathematicsAssistant Professor0000-0003-2566-3436Yesmilena.aleksic@pmf.edu.rsTime Series Analysis, Statistical Software
          4Maja S. ObradovićmemberUniversity of Niš, Faculty of Sciences and MathematicsAssistant Professor0000-0003-3680-4126Yesmaja.obradovic@pmf.edu.rsNeutral stochastic differential equations, Euler-Maruyama method
          5Teodora D. ČamagićmemberUniversity of Niš, Faculty of Sciences and MathematicsReasearch Assistant0009-0004-6347-4331Noteodora.camagic@pmf.edu.rsTime Series Analysis, Statistical Software