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.
Applied Linear Models
SET SAIL: Exposing Lies in a Data-Driven World
Skripnikov, Andrey. ”Partially constrained group variable selection to adjust for complementary unit performance in American college football.” Journal of Applied Statistics (2023): 1-15.
Skripnikov, A., et al. ”Using localized Twitter activity to assess harmful algal bloom impacts of Karenia brevis in Florida, USA.” Harmful Algae 110 (2021): 102118.
Skripnikov, Andrey, and George Michailidis. ”Regularized joint estimation of related vector autoregressive models.” Computational statistics data analysis 139 (2019): 164-177.
Skripnikov, A., and G. Michailidis. ”Joint estimation of multiple network Granger causal models.” Econometrics and Statistics 10 (2019): 120-133.
Skripnikov, Andrey. Topics in Joint Estimation of Vector Autoregressive Models. Diss. University of Florida, 2017.
Skripnikov, A.V., ”Partially Constrained Group Variable Selection to Adjust for Complementary Unit Performance in American College Football” – refereed session at the Symposium on Data Science and Statistics (American Statistical Association), June 2022.
Skripnikov, A.V., ”Twitter Analytics for Florida Red Tide Impact Assessment” – contributed session at BASIS 7-ANEP (”Bay Area Scientific Information Symposium The Association of National Estuary Programs”), March 2022