raju maiti

Raju Maiti

Assistant Professor

Economic Research Unit, Indian Statistical Institute, KolkatA

Google Scholar: https://scholar.google.co.in/citations?user=xE2nYxoAAAAJ&hl=en

Education

Ph.D. in Statistics from the Indian Statistical Institute (ISI) Kolkata (2015)

Thesis Title: Discrete-valued Time Series and Coherent Forecasting

M.Sc. in Statistics (with Gold Medal) from the Indian Institute of Technology (IIT) Kanpur, India, 2009 (CPI - 9.4).

B.Sc. in Statistics from Narendrapur Ramakrishna Mission Residential College, Calcutta University, Kolkata, India, 2007

Research area

Time series analysis; Forecasting; Longitudinal/ Panel data analysis; Econometrics; Climate Data Analysis; Sensitivity, Specificity and ROC

PUBLISHED/ACCEPTED PAPERS

Adhikary, A.*, Pal, M., & Maiti, R. (2025). Impact of COVID-19 vaccinations in India: a state-wise analysis. BMC Public Health, 25(1), 219.

Das, S.*, Maiti, R., Bharati, P., & Pal, M. (2024). Infant, Neonatal and Maternal Mortality in ASEAN Countries: A Panel Data Analysis. In Public Health and Nutrition (pp. 273-294). Springer, Singapore (Book Chapter).

Yap, J., Dziak, J., Maiti, R., Lynch, K., Mckay, J.R., Chakraborty, B., Nahum-Shani, I. (2023) Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes. Statistical Methods in Medical Research. 32(7), 1267-1283

Chattopadhyay, S.*, Ghosh, D*., Maiti, R., Das, S., Biswas, A. and Chakraborty, B., (2023). A study of the impact of policy interventions on daily COVID scenario in India using interrupted time series analysis. Epidemiologic Methods, 12(1), p.20220113.

Graves, N., Maiti, R., Aloweni, F.A.B., Yi Zhen, N., Yuh, A.S., Bishnoi, P., Chong, T.T., Carmody, D. and Harding, K., (2023). Retrospective matched cohort study of incidence rates and excess length of hospital stay owing to pressure injuries in an Asian setting. Health Care Science. 2(2), pp.82-93

Maiti, R., Li, J., Das, P., Liu, X., Feng, L., Hausenloy, D.J. and Chakraborty, B., (2023). A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification. Statistical Methods in Medical Research, 32(2), pp.242-266.

Banerjee, S., Biswas, S., Chakrabarti, B.K., Challagundla, S.K., Ghosh, A., Guntaka, S.R., Koganti, H., Kondapalli, A.R., Maiti, R., Mitra, M. and Ram, D.R., (2023). Evolutionary dynamics of social inequality and coincidence of Gini and Kolkata indices under unrestricted competition. International Journal of Modern Physics C. 34(04), p.2350048.

Ghosh, A., Chakrabarti, B.K., Ram, D.R., Mitra, M., Maiti, R., Biswas, S. and Banerjee, S., (2022). Scaling behavior of the Hirsch index for failure avalanches, percolation clusters, and paper citations. Frontiers in Physics, 10, p.1145.

Das, P., De, D., Maiti, R., Kamal, M., Hutcheson, K.A., Fuller, C.D., Chakraborty, B. and Peterson, C.B., (2022). Estimating the optimal linear combination of predictors using spherically constrained optimization. BMC bioinformatics, 23(3), pp.1-20.

Chattopadhyay, S., Maiti, R., Das, S., and Biswas, A. (2022). Change‐point analysis through integer‐valued autoregressive process with application to some COVID‐19 data. Statistica Neerlandica, 76(1), 4-34.

Qian, M., Chakraborty, B., Maiti, R., and Cheung, Y. K. (2021). A Sequential Significance Test for Treatment by Covariate Interactions. Statistica Sinica, 31; 1-22

Nick Graves, R. Maiti, FAB Aloweni, AS Yuh, ZJ Lo, K Harding (2020). Pressure injuries among admissions to a hospital in the tropics. International Wound Journal 17 (6); 1659-1668.

Chakraborty, B., Maiti, R., and Strecher, V. J., (2018). The Effectiveness of Web-Based Tailored Smoking Cessation Interventions on the Quitting Process (Project Quit): Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 20(6); e213(http://dx.doi.org/10.2196/jmir.9555)

Maiti, R., Biswas, A., and Chakraborty, B. (2018). Modelling of low count heavy tailed time series data consisting large number of zeros and ones. Statistical Methods and Applications 27(3); 407-435.

Paul, E., Maity, A., and Maiti, R. (2018). Bayesian Comparative Study on Binary Time Series. Journal of Statistical Computation and Simulation 88(14); 2811-2826.

Maiti, R., and Biswas, A. (2018). Time series of categorical data using auto-odds ratio. Statistics 52(2); 426--444.

Heerajnarain Bulluck, Raju Maiti, Bibhas Chakraborty, Lucian Candilio, Tim Clayton, David Jenkins, Shyam Kolvekar, Christopher Laing, Jennifer Nicholas, John Pepper, Derek Yellon, Derek J Hausenloy. (2017). Neutrophil gelatinase-associated lipocalin prior to cardiac surgery predicts acute kidney injury and mortality. Heart, 0; 1--5. (DOI: 10.1136/heartjnl-2017-311760).

Angers, J.-F., Biswas, A., and Maiti, R. (2017). Bayesian forecasting of categorical time series. Journal of Forecasting 36(3); 217-229.

Maiti, R., Biswas, A., and Das, S. (2016). Coherent forecasting of count data using Box-Jenkins' AR($p$) model. Statistica Neerlandica, 70(2); 123--145.

Maiti, R., Biswas, A., and Das, S. (2015). Time series of zero-inflated counts and their coherent forecasting. Journal of Forecasting: 34(8); 694-707.

Maiti, R., and Biswas, A. (2015). Coherent forecasting for over-dispersed time series of count data. Brazilian Journal of Probability and Statistics, 29(4); 747--766.

Maiti, R., and Biswas, A. (2015). Coherent forecasting for stationary time series of discrete data. Advances in Statistical Analysis: 99(3); 337--365.

Maiti, R. Biswas, A., Guha, A., and Ong, S.H. (2014). Modelling and coherent forecating of zero-inflated count time series. Statistical Modelling: 14(5); 375 -- 398.

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raju maiti

Raju Maiti

Assistant Professor

Economic Research Unit, Indian Statistical Institute, KolkatA

Education

Ph.D. in Statistics from the Indian Statistical Institute (ISI) Kolkata (2015)

M.Sc. in Statistics (with Gold Medal) from the Indian Institute of Technology (IIT) Kanpur, India, 2009 (CPI - 9.4).

Research area

Time series analysis; Forecasting; Longitudinal/ Panel data analysis; Econometrics; Climate Data Analysis; Sensitivity, Specificity and ROC

PUBLISHED/ACCEPTED PAPERS

Adhikary, A.*, Pal, M., & Maiti, R. (2025). Impact of COVID-19 vaccinations in India: a state-wise analysis. BMC Public Health, 25(1), 219.

Das, S.*, Maiti, R., Bharati, P., & Pal, M. (2024). Infant, Neonatal and Maternal Mortality in ASEAN Countries: A Panel Data Analysis. In Public Health and Nutrition (pp. 273-294). Springer, Singapore (Book Chapter).

Chattopadhyay, S.*, Ghosh, D*., Maiti, R., Das, S., Biswas, A. and Chakraborty, B., (2023). A study of the impact of policy interventions on daily COVID scenario in India using interrupted time series analysis. Epidemiologic Methods, 12(1), p.20220113.

Graves, N., Maiti, R., Aloweni, F.A.B., Yi Zhen, N., Yuh, A.S., Bishnoi, P., Chong, T.T., Carmody, D. and Harding, K., (2023). Retrospective matched cohort study of incidence rates and excess length of hospital stay owing to pressure injuries in an Asian setting. Health Care Science. 2(2), pp.82-93

Maiti, R., Li, J., Das, P., Liu, X., Feng, L., Hausenloy, D.J. and Chakraborty, B., (2023). A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification. Statistical Methods in Medical Research, 32(2), pp.242-266.

Ghosh, A., Chakrabarti, B.K., Ram, D.R., Mitra, M., Maiti, R., Biswas, S. and Banerjee, S., (2022). Scaling behavior of the Hirsch index for failure avalanches, percolation clusters, and paper citations. Frontiers in Physics, 10, p.1145.

Das, P., De, D., Maiti, R., Kamal, M., Hutcheson, K.A., Fuller, C.D., Chakraborty, B. and Peterson, C.B., (2022). Estimating the optimal linear combination of predictors using spherically constrained optimization. BMC bioinformatics, 23(3), pp.1-20.

Chattopadhyay, S., Maiti, R., Das, S., and Biswas, A. (2022). Change‐point analysis through integer‐valued autoregressive process with application to some COVID‐19 data. Statistica Neerlandica, 76(1), 4-34.

Qian, M., Chakraborty, B., Maiti, R., and Cheung, Y. K. (2021). A Sequential Significance Test for Treatment by Covariate Interactions. Statistica Sinica, 31; 1-22

Nick Graves, R. Maiti, FAB Aloweni, AS Yuh, ZJ Lo, K Harding (2020). Pressure injuries among admissions to a hospital in the tropics. International Wound Journal 17 (6); 1659-1668.

Maiti, R., Biswas, A., and Chakraborty, B. (2018). Modelling of low count heavy tailed time series data consisting large number of zeros and ones. Statistical Methods and Applications 27(3); 407-435.

Paul, E., Maity, A., and Maiti, R. (2018). Bayesian Comparative Study on Binary Time Series. Journal of Statistical Computation and Simulation 88(14); 2811-2826.

Maiti, R., and Biswas, A. (2018). Time series of categorical data using auto-odds ratio. Statistics 52(2); 426--444.

Angers, J.-F., Biswas, A., and Maiti, R. (2017). Bayesian forecasting of categorical time series. Journal of Forecasting 36(3); 217-229.

Maiti, R., Biswas, A., and Das, S. (2016). Coherent forecasting of count data using Box-Jenkins' AR($p$) model. Statistica Neerlandica, 70(2); 123--145.

Maiti, R., Biswas, A., and Das, S. (2015). Time series of zero-inflated counts and their coherent forecasting. Journal of Forecasting: 34(8); 694-707.

Maiti, R., and Biswas, A. (2015). Coherent forecasting for over-dispersed time series of count data. Brazilian Journal of Probability and Statistics, 29(4); 747--766.

Maiti, R., and Biswas, A. (2015). Coherent forecasting for stationary time series of discrete data. Advances in Statistical Analysis: 99(3); 337--365.

Maiti, R. Biswas, A., Guha, A., and Ong, S.H. (2014). Modelling and coherent forecating of zero-inflated count time series. Statistical Modelling: 14(5); 375 -- 398.

Chattopadhyay, S., Ghosh, D., Maiti, R., Das, S., Biswas, A. and Chakraborty, B., (2023). A study of the impact of policy interventions on daily COVID scenario in India using interrupted time series analysis. Epidemiologic Methods, 12(1), p.20220113.