Research Interests

• Marketing Science
• Optimization
• Data Science

Research Articles

• Antipov, E., & Pokryshevskaya, E. (2010). Applying CHAID for logistic regression diagnostics and classification accuracy improvement. Journal of Targeting, Measurement and Analysis for Marketing, 18, 109–117. Palgrave Macmillan UK.
• Antipov, E. A., & Pokryshevskaya, E. B. (2012). Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics. Expert Systems with Applications, 39(2), 1772–1778. Pergamon.
• Pokryshevskaya, E. B., & Antipov, E. A. (2011). Applying a CART-based approach for the diagnostics of mass appraisal models. Economics Bulletin, 31(3), 2521–2528. AccessEcon.
• Antipov, E., & Pokryshevskaya, E. (2011). Accounting for latent classes in movie box office modeling. Journal of Targeting, Measurement and Analysis for Marketing, 19, 3–10. Palgrave Macmillan UK.
• Pokryshevskaya, E. B., & Antipov, E. A. (2012). The strategic analysis of online customers’ repeat purchase intentions. Journal of Targeting, Measurement and Analysis for Marketing, 20, 203–211. Palgrave Macmillan UK.
• Pokryshevskaya, E., & Antipov, E. (2013). Importance-Performance Analysis for Internet Stores: A System Based on Publicly Available Panel Data. Higher School of Economics Research Paper No. WP BRP, 8.
• Antipov, E. A. (2014). An HLM-model of online price premia. Economics Bulletin, 34(2), 892–900. AccessEcon.
• Pokryshevskaya, E. B., & Antipov, E. A. (2012). A comparison of methods used to measure the importance of service attributes. International Journal of Market Research, 20(3–4), 203–211.
• Antipov, E. A., & Pokryshevskaya, E. B. (2014). Explaining differences in recommendation rates: The case of South Cyprus hotels. Economics Bulletin, 34(4), 2368–2376. AccessEcon.
• Antipov, E. A., & Pokryshevskaya, E. B. (2014). Measuring Brand-name Effects in the Markets for Consumer Electronics and Appliances. Journal of Empirical Generalisations in Marketing Science, 15(3).
• Pokryshevskaya, E. B., & Antipov, E. A. (2015). A study of numerological superstitions in the apartments market. Economics Bulletin, 35(1), 83–88. AccessEcon.
• Pokryshevskaya, E. B., & Antipov, E. A. (2015). Using location-based social networks as a novel source of marketing data: The case of shopping malls. Economics Bulletin, 35(2), 1292–1298. AccessEcon.
• Antipov, E. A., & Pokryshevskaya, E. B. (2015). Are buyers of apartments superstitious? Evidence from the Russian real estate market. Judgment and Decision Making, 10(6), 590–592. Cambridge University Press.
• Antipov, E. A., & Pokryshevskaya, E. B. (2016). Rank-sales relationship in electronic commerce: Evidence from publicly available data on 11 product categories. Electronic Commerce Research and Applications, 16, 1–6. Elsevier.
• Antipov, E. A., & Pokryshevskaya, E. B. (2016). How to Measure the Power of Actors and Film Directors? Empirical Studies of the Arts, 34(2), 147–159. SAGE Publications.
• Antipov, E. A., & Pokryshevskaya, E. B. (2017). Are box office revenues equally unpredictable for all movies? Evidence from a Random forest-based model. Journal of Revenue and Pricing Management, 16, 295–307. Palgrave Macmillan UK.
• Antipov, E. A., & Pokryshevskaya, E. B. (2017). Order effects in the results of song contests: Evidence from the Eurovision and the New Wave. Judgment and Decision Making, 12(4), 415–419. Cambridge University Press.
• Pokryshevskaya, E. B., & Antipov, E. A. (2017). Profiling satisfied and dissatisfied hotel visitors using publicly available data from a booking platform. International Journal of Hospitality Management, 67, 1–10. Pergamon.
• Antipov, E. A., & Pokryshevskaya, E. B. (2019). The effects of adverse drug reactions on patients’ satisfaction: Evidence from publicly available data on tamiflu (oseltamivir). International Journal of Medical Informatics, 125, 30–36. Elsevier.
• Antipov, E. A., & Pokryshevskaya, E. B. (2020). Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values. Journal of Revenue and Pricing Management, 19, 355–364. Palgrave Macmillan UK.
• Antipov, E. A., & Pokryshevskaya, E. B. (2020). Impact of superstitious beliefs on the timing of marriage and childbirth: Evidence from Denmark. Judgment and Decision Making, 15(5), 756–762. Cambridge University Press.
• Pokryshevskaya, E., & Antipov, E. (2020). Robust regression discontinuity estimates of the causal effect of the tripadvisor’s bubble rating on hotel popularity. Higher School of Economics Research Paper No. WP BRP, 63.
• Antipov, E. A., & Pokryshevskaya, E. B. (2022). Time Series Analysis of COVID-19’s Impact on the European’s Hospitality Industry: Estimates Based on Accommodation Statistics from 18 Countries. Available at SSRN 4015755.
• Antipov, E. A., & Pokryshevskaya, E. B. (2023). Data-driven attribute selection for hardware technology products: A multi-criteria framework. Applied Marketing Analytics, 9(2), 173–181. Henry Stewart Publications.
• Antipov, E. A., Gagarskaya, A., Trofimova, Y., & Pokryshevskaya, E. (2025). Applying Shifted-Beta-Geometric and Beta-Discrete-Weibull Models for Employee Retention Curve Projection. Operations Research Forum, in Press, DOI: 10.1007/s43069-025-00417-0.

Conference Presentations

• October 2024: 11th International GSOM Economy & Management Conference 2024 (EMC 2024). "Accident Prevention Recommendations via Classification Modeling of Likely Driving Rules Violations”
• April 2023: XXIV Yasin (April) International Academic Conference on Economic and Social Development:
  • “Inferring car safety ratings from a crash report system’s data”
  • “Multivariate analysis of attribute importance for technically complex products using regression analysis of publicly available data”
• December 2021: International Conference AMEC-2021 (Analytics for Management and Economics Conference):
  • “Online Search Interest in Products and Services: Identification of Demographic Determinants and State-Specific Effects”
  • “A Machine Learning Approach to Accident Severity Prediction and Explanation Based on Russian Crash Records”
• December 2020: International Conference AMEC-2020 (Analytics for Management and Economics Conference):
  • Robust Regression Discontinuity Estimates of the Causal Effect of the TripAdvisor’s Bubble Rating on Hotel Popularity
• December 2020: Russian Economic Congress:
  • “Accounting for direct marketing and promotional activities in a mixed logit model of consumer choice"
  • “Robust Regression Discontinuity Estimates of the Causal Effect of the TripAdvisor’s Bubble Rating on Hotel Popularity”

Editorial and Reviewer Activities

• Active reviewer for OPSEARCH, Journal of the Operational Research Society, Land Use Policy, International Journal of Tourism Research, Electronic Commerce Research, International Journal of Hospitality Management, Applied Economics, Marketing Intelligence and Planning, Tourism Management and some other journals.