Ph.D., Statistics, University of Florida
M.S.,  Statistics, University of Florida
BSc,   Applied Mathematics and Computer Science, Lomonosov Moscow State University

Professor Skripnikov was a postdoctoral associate and lecturer at the University of Houston, teaching courses in Statistical Computing and Machine Learning on both graduate and undergraduate-level, conducting research in the areas of high-dimensional data and time series analysis. Applications of interest include, among others, gene expression data, studying brain activity, econometric time series and sports data.

Recent Course Offerings:
– Linear Models
– Statistical Learning

Selected Publications:

• Skripnikov, A.V., Nathaniel Wagner, “Using Localized Twitter Activity for Red Tide Impact Assessment.”: Analyzing temporal localized Twitter activity on Florida’s Gulf coast to evaluate impacts of the 2018 red tide event. Work was done in collaboration with Data Science graduate student Nathaniel Wagner and Tampa Bay Estuary program, has been submitted for publication and currently under peer-review.
• Skripnikov, A.V., G. Michailidis (2019), “Regularized Joint Estimation of Related Vector Autoregressive Models” by “Computational Statistics and Data Analysis”.
• Skripnikov, A.V., G. Michailidis (2018), ”Joint Estimation of Multiple Network Granger Causal Models” by ”Econometrics and Statistics”.
• Skripnikov, A.V. (2017), “Topics in Joint Estimation of Vector Autoregressive Models” by University of Florida, Statistics Thesis, Ph.D

Presentations:

• January, 2021: Presentation at a Tampa Bay Estuary Program meeting.
• September, 2020: On-demand presentation at the National Coastal Estuarine Virtual Summit 2020.