Soudeep Deb

Publications

Books

Recently, I have published my first book, which is a problem-based book aimed at high-school students interested in mathematical topics related to the ISI and CMI entrance tests as well as Mathematics Olympiads. In addition to the textbooks, this would be a helpful resource to understand how to tackle complicated problems from topics such as number theory, combinatorics, algebra, calculus, Euclidean and coordinate geometry, probability and statistics. We provide several problem-solving strategies and pointers to help students become confident in advanced high school mathematics. Following are the details.

Journal and conference publications

Following are my academic publications in journals and conference proceedings, along with other published materials, as of 19th February 2024.

  • Gupta, K., Krishnamurthy, V., Deb, S. (2024) What elements of the opening set influence the outcome of a tennis match? An in-depth analysis of Wimbledon data. To appear in IIMB Management Review. [early view] [bibtex]

  • Deb, S., Roy, R., & Das, S. (2024) Forecasting elections from partial information using a Bayesian model for a multinomial sequence of data. To appear in the Journal of Forecasting. [early view] [bibtex]

  • Deb, S., Jana, K. (2024) Nonparametric quantile regression for time series with replicated observations and its application to climate data. To appear in Statistical Science. [pre-print] [bibtex]

  • Divekar, C., Deb, S., & Roy, R. (2024) Real-time forecasting within soccer matches through a Bayesian lens. Journal of the Royal Statistical Society Series A: Statistics in Society, 187(2), 513–540. [publication] [bibtex]

  • Mareeswaran, M., Sen, S., & Deb, S. (2024). New methods of structural break detection and an ensemble approach to analyse exchange rate volatility of Indian rupee during coronavirus pandemic. Journal of the Royal Statistical Society Series A: Statistics in Society, 187(1), 39-61. [publication] [bibtex]

  • Roy, A., Deb, S., Chakarwarti, D. (2024) 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, 51(3), 581-605. [publication] [bibtex]

  • 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. [publication] [bibtex]

  • 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, 188, 107810. [publication] [bibtex]

  • 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. [publication] [bibtex]

  • 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. [publication] [bibtex]

  • Deb, S., & Majumdar, M. (2023). A quadratic trend-based time series method to analyze the early incidence pattern of COVID-19. Biostatistics & Epidemiology, 7(1), e2076529. [publication] [bibtex]

  • Majumdar, M., Banerjee, M., Sengupta, J., Deb, S., Jana, C. K., & Roy, B. K. (2023) Prevalence and spectrum of diabetic peripheral neuropathy and its correlation with insulin resistance - An experience from eastern India. International Journal of Advanced Research, 11(06), 1085-1094. [publication] [citation].

  • Deb, S., Deb, S. (2022). An ensemble method for early prediction of dengue outbreak. Journal of the Royal Statistical Society Series A, 185(1), 84-101. [publication] [bibtex]

  • Deb, S. (2022). A goal based index to analyze the competitive balance of a football league. Journal of Quantitative Analysis in Sports, 18(3), 171-186. [publication] [bibtex]

  • Nahata, S., Deb, S. (2021) A machine learning approach to analyze the effect of situational and player-dependent features on converting freekicks in soccer. In Conference Proceedings 2021 Asia-Singapore Conference on Sport Science (p. 19). [publication] [bibtex]

  • Deb, S., Tsay, R. S. (2019). Spatio-temporal Models with Space-time Interaction and Their Applications to Air Pollution Data. Statistica Sinica, 29(3), 1181-1207. [publication] [bibtex]

  • Deb, S., Dey, D. (2019). Spatial Modeling of Shot Conversion in Soccer to Single out Goalscoring Ability. Journal of Sports Analytics, 5(4), 281-297. [publication] [bibtex]

  • Deb, S. (2019). VAR Model Based Clustering Method for Multivariate Time Series Data. Journal of Mathematical Sciences, 237(6), 754-765. [publication] [bibtex]

  • Prickett, K.C., Guiterrez, C., Deb, S. (2019). Family Firearm Ownership and Firearm-Related Mortality Among Young Children: 1976–2016. Pediatrics, 143(2), e20181171. [publication] [bibtex]

  • Chazin, H., Deb, S., Falk, J., Srinivasan, A. (2018). New Statistical Approaches to Intra-individual Isotopic Analysis and Modeling Birth Seasonality in Studies of Herd Animals. Archaeometry, 61(2), 478-493. [publication] [R package] [GitHub] [bibtex]

  • Deb, S., Pourahmadi, M., Wu, W. B. (2017). An Asymptotic Theory for Spectral Analysis of Random Fields. Electronic Journal of Statistics, Vol. 11, No. 2, 4297-4322. [publication] [bibtex]

  • Zechner, C., Deb, S., Koeppl, H. (2013). Marginal Dynamics of Stochastic Biochemical Networks in Random Environments. In 2013 European Control Conference (ECC) (pp. 4269-4274). IEEE. [publication] [bibtex]

Submitted articles

  • Chattopadhyay, A., Deb, S. A spatio-temporal model for binary data and its application in analyzing the levels of COVID-19 spread. Under second revision. Preprint available on request. Poster presentation at the Applied Statistics Conference 2021 (virtual).

  • Paul, M., Roy, R., Deb, S. Effect of influence in voter models and its application in detecting significant interference in political elections. Under revision. [pre-print] [bibtex]

  • Bag, S., Gupta, K., Deb, S. A review and recommendations on variable selection methods in regression models for binary data. Under revision. [pre-print] [bibtex]

  • Deb, S., Das, S. Optimal selection of the starting lineup for a football team. Under review. [pre-print] [bibtex]

  • Rawat, S., Durrant, A., Simpson, A., Nielson, G., Berrett, C, Deb, S. A Bayesian approach to identify changepoints in spatio-temporal ordered categorical data: An application to COVID-19 data. Under review. [pre-print] [bibtex] [Paper presented in invited talks in IISA Conference 2022, Bengaluru, India; and in RSS International Conference 2022, Aberdeen, UK.]

  • Rawat, S., Deb, S.. Impact of rising temperature on rainfall: A spatio-temporal study from Bangladesh. Under review. Preprint available on request.

  • Soni, A., Deb, S., Das, D., Zaremba, A. Using t-SNE and KL divergence to identify the effects of structural breaks on Value-at-Risk transmission and information flow among cryptocurrencies. Under review. Preprint available on request.

  • Deb, S. Analyzing count data using a time series model with an exponentially decaying covariance structure. Under review. [pre-print] [bibtex]

Work in progress

  • Deb, S., Neves, C., Roy, S. A nonparametric approach to deal with spatio-temporal quantile regression problems. Manuscript in preparation. Presented in an invited talk at the 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022), London, UK.

  • Sen, S., Deb, S. A new classification method for multivariate time series data. Manuscript in preparation. Presented in an invited talk at the 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021), London, UK. Earlier presented in 2021 Australian and New Zealand Statistical Conference (virtual).

  • Nath, A., Deb, S. A bivariate count data model and its application in forecasting match outcomes in soccer. Manuscript in preparation.

  • Banerjee, A., Deb, S. Assessing COVID-19 deaths through a zero-inflated count data model. Manuscript in preparation.

  • Karmakar, S., Deb, S. Testing separability in the covariance structure of spatio-temporal data. Manuscript in preparation.

  • Deb, S., Wu, W. B. Clustering of Time Series Data using Spectral Density Estimates. Manuscript in preparation.

Other published material

  • Deb, S. (2018). Irregular Spaced Data, Spatio-temporal Modeling and Clustering of Time Series. The University of Chicago. [PhD thesis] [bibtex]

  • Deb, S., Smith, J., Alencar, A., Coe, M. (2016). IIC Brazil Summer Policy Lab Hydropower Construction and Deforestation: Linking Forest Cover to Changes in Water Balance. [policy brief]

  • Ghosh, S., Deb, S. (2013). A Clustering Approach for Mapping Rare Variants Based in Mutual Association. Human Heredity, Vol. 76, No. 2, pp. 98-98.