Publications
Books
About a year ago, 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.
- Deb, S., Dey, D. (2023) Mathematical Techniques for Competitive Examinations. Published by Orient Blackswan Pvt Ltd. ISBN: 9393330107. [Buy from Amazon] [Buy from Flipkart] [Buy from Publisher]
Journal and conference publications
Following are my academic publications in journals and conference proceedings, along with other published materials, as of 22nd October 2024.
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Chattopadhyay, A., Deb, S. (2024) A spatio-temporal model for binary data and its application in analyzing the levels of COVID-19 spread. To appear in AStA Advances in Statistical Analysis. [early view] [bibtex]
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Lakshmi M.V., Deb, S., Sen, R. (2024) Environmentally Responsible Index Tracking: Maintaining Performance while Reducing Carbon Footprint of the Portfolio. To appear in Statistics and Applications. Preprint available on request.
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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]
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Deb, S., Roy, R., & Das, S. (2024) Forecasting elections from partial information using a Bayesian model for a multinomial sequence of data. Journal of Forecasting, 43(6), 1814-1834. [publication] [bibtex]
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Deb, S., Jana, K. (2024) Nonparametric quantile regression for time series with replicated observations and its application to climate data. Statistical Science, 39(3), 428-448. [publication] [bibtex]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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].
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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]
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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]
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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]
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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]
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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]
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Deb, S. (2019). VAR Model Based Clustering Method for Multivariate Time Series Data. Journal of Mathematical Sciences, 237(6), 754-765. [publication] [bibtex]
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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]
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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]
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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]
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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
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Panja, M., Chakraborty, T., Biswas, A., & Deb, S. E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting. Under review.[pre-print] [bibtex]
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Gupta, K., & Deb, S. A divide-and-conquer approach for spatio-temporal analysis of large house price data from Greater London. Under review. [pre-print] [bibtex]
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Roy, A., Podder, M., Deb, S. Nonparametric method of structural break detection in stochastic time series regression model. Under review. [pre-print] [bibtex]
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Deb, S., Neves, C., Roy, S. Nonparametric quantile regression for spatio-temporal processes. Under review. [pre-print] [bibtex]
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Deshmukh, S., Deb, S. A survey of statistical and machine learning methods of quantile regression in time series and their suitability in predicting dengue outbreaks. Under first revision. Preprint available on request.
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Paul, M., Roy, R., Deb, S. Effect of influence in voter models and its application in detecting significant interference in political elections. Under resubmission. [pre-print] [bibtex]
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Bag, S., Gupta, K., Deb, S. A review and recommendations on variable selection methods in regression models for binary data. Under resubmission. [pre-print] [bibtex]
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Deb, S., Das, S. Optimal selection of the starting lineup for a football team. Under review. [pre-print] [bibtex]
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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 resubmission. [pre-print] [bibtex] [Paper presented in invited talks in IISA Conference 2022, Bengaluru, India; and in RSS International Conference 2022, Aberdeen, UK.]
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Sen, S., Deb, S. tSNE-Spec: A new classification method for multivariate time series data. Under review. Preprint available on request. [Paper presented in invited talks in CMStatistics 2021, London, UK; and in 2021 Australian and New Zealand Statistical Conference (virtually).]
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Rawat, S., Deb, S.. Impact of rising temperature on rainfall: A spatio-temporal study from Bangladesh. Under review. Preprint available on request.
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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.
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Deb, S. Analyzing count data using a time series model with an exponentially decaying covariance structure. Under review. [pre-print] [bibtex]
Work in progress
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Nath, A., Deb, S. A bivariate count data model and its application in forecasting match outcomes in soccer. Manuscript in preparation.
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Banerjee, A., Deb, S. Assessing COVID-19 deaths through a zero-inflated count data model. Manuscript in preparation.
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Karmakar, S., Deb, S. Testing separability in the covariance structure of spatio-temporal data. Manuscript in preparation.
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Deb, S., Wu, W. B. Clustering of Time Series Data using Spectral Density Estimates. Manuscript in preparation.
Other published material
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Deb, S. (2018). Irregular Spaced Data, Spatio-temporal Modeling and Clustering of Time Series. The University of Chicago. [PhD thesis] [bibtex]
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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]
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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.