21 citations · 31 across the 8 of their papers we have counts for
8 papers
Forecasting of Multiple Seasonal Categorical Time Series Using Fourier Series with Application to AQI Data of Kolkata
Anirban Ghosh, Raju Maiti
Multiple seasonalities have been widely studied in continuous time series using models such as TBATS, for instance in electricity demand forecasting. However, their treatment in ca…
Long-Term Spatio-Temporal Forecasting of Monthly Rainfall in West Bengal Using Ensemble Learning Approaches
Jishu Adhikary, Raju Maiti
Rainfall forecasting plays a critical role in climate adaptation, agriculture, and water resource management. This study develops long-term forecasts of monthly rainfall across 19…
Evolutionary Dynamics of Social Inequality and Coincidence of Gini and Kolkata indices under Unrestricted Competition
Suchismita Banerjee, Soumyajyoti Biswas, Bikas K. Chakrabarti +8
Social inequalities are ubiquitous and here we show that the values of the Gini () and Kolkata () indices, two generic inequality indices, approach each other (starting from…
Scaling Behavior of the Hirsch Index for Failure Avalanches, Percolation Clusters and Paper Citations
Asim Ghosh, Bikas K. Chakrabarti, Dachepalli R. S. Ram +4
A popular measure for citation inequalities of individual scientists has been the Hirsch index (). If for any scientist the number of citations is plotted against the seri…
Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes
Jamie Yap, John J. Dziak, Raju Maiti +4
Dynamic treatment regimens (DTRs), also known as treatment algorithms or adaptive interventions, play an increasingly important role in many health domains. DTRs are motivated to a…
Estimating the Optimal Linear Combination of Biomarkers using Spherically Constrained Optimization
Priyam Das, Debsurya De, Raju Maiti +5
In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing an empirical estimate of the area under th…
A distribution-free smoothed combination method of biomarkers to improve diagnostic accuracy in multi-category classification
Raju Maiti, Jialiang Li, Priyam Das +3
Results from multiple diagnostic tests are usually combined to improve the overall diagnostic accuracy. For binary classification, maximization of the empirical estimate of the are…
A Sequential Significance Test for Treatment by Covariate Interactions
Min Qian, Bibhas Chakraborty, Raju Maiti +1
Due to patient heterogeneity in response to various aspects of any treatment program, biomedical and clinical research is gradually shifting from the traditional "one-size-fits-all…