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Soudeep Deb

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Assistant Professor
Decision Sciences
Chairperson, Decision Sciences

Soudeep received his bachelor's and master's degree in Statistics from Indian Statistical Institute, Kolkata. Then, he completed his Ph.D. in Statistics from the University of Chicago. His primary field of work is related to forecasting, time series data, spatio-temporal modeling, inference for random processes, nonparametric methods, and their applications in various fields. He is also interested in sports analytics, especially problems related to soccer. Outside work, Soudeep takes keen interest in photography and blogging.

Prof Soudeep is not taking any research intern and any email related to this will not be entertained at all.


RESEARCH INTERESTS: Spatio-temporal modeling, Time series, Categorical data, Clustering and classification methods, Bayesian implementation of time series methods, Sports analytics


Please see Soudeep's personal webpage for a complete list of papers. Below are some key latest publications:

  • Divekar, C., Deb, S., Roy, R. (2023) Real-time forecasting within soccer matches through a Bayesian lens. Journal of the Royal Statistical Society Series A.
  • Roy, A., Soni, A., Deb, S. (2023) A wavelet-based methodology to compare the impact of pandemic versus Russia-Ukraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets. Energy Economics, 124, 106830.
  • Deb, S., Jana, K. (2023) Nonparametric quantile regression for time series with replicated observations and its application to climate data. Statistical Science.
  • Deb, S., Karmakar, S. (2023) A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States. Computational Statistics & Data Analysis, 107810.
  • Mareeswaran, M., Sen, S., Deb, S. (2023). New methods of structural break detection and an ensemble approach to analyze exchange rate volatility of Indian rupee during COVID-19. Journal of the Royal Statistical Society Series A: Statistics in Society, qnad078. 
  • Roy, A., Deb, S., Chakarwarti, D. (2023) Impact of COVID-19 on public social life and mental health: A statistical study of Google Trends data from the USA. Journal of Applied Statistics, 1-25. 
  • Deb, S. (2023). Analyzing airlines stock price volatility during COVID-19 pandemic through internet search data. International Journal of Finance & Economics, 28(2), 1497-1513.
  • Rawat, S., Deb, S. (2023). A spatio-temporal statistical model to analyze COVID-19 spread in the USA. Journal of Applied Statistics, 50(11-12), 2310-2329.


  • Ph.D, Department of Statistics, University of Chicago, Chicago, IL, USA.
  • M.Stat, Indian Statistical Institute, Kolkata, India.
  • B.Stat, Indian Statistical Institute, Kolkata, India.