39 citations · 76 across the 6 of their papers we have counts for
7 papers
VA-Calibration: Correcting for Algorithmic Misclassification in Estimating Cause Distributions
Sandipan Pramanik, Emily B. Wilson, Henry D. Kalter +5
Accurate estimation of cause-specific mortality fractions (CSMFs), the percentage of deaths attributable to each cause in a population, is essential for global health monitoring. C…
Direct Bayesian Regression for Distribution-valued Covariates
Bohao Tang, Sandipan Pramanik, Yi Zhao +2
In this manuscript, we study the problem of scalar-on-distribution regression; that is, instances where subject-specific distributions or densities, or in practice, repeated measur…
Bayes factor functions for reporting outcomes of hypothesis tests
Valen E. Johnson, Sandipan Pramanik, Rachael Shudde
Bayes factors represent the ratio of probabilities assigned to data by competing scientific hypotheses. Drawbacks of Bayes factors are their dependence on prior specifications that…
Structure Adaptive Elastic-Net
Sandipan Pramanik, Xianyang Zhang
Penalized linear regression is of fundamental importance in high-dimensional statistics and has been routinely used to regress a response on a high-dimensional set of predictors. I…
A Modified Sequential Probability Ratio Test
Sandipan Pramanik, Valen E. Johnson, Anirban Bhattacharya
We describe a modified sequential probability ratio test that can be used to reduce the average sample size required to perform statistical hypothesis tests at specified levels of…
Design of a novel convex hull based feature set for recognition of isolated handwritten Roman numerals
Nibaran Das, Sandip Pramanik, Subhadip Basu +3
In this paper, convex hull based features are used for recognition of isolated Roman numerals using a Multi Layer Perceptron (MLP) based classifier. Experiments of convex hull base…
Recognition of Handwritten Bangla Basic Characters and Digits using Convex Hull based Feature Set
Nibaran Das, Sandip Pramanik, Subhadip Basu +4
In dealing with the problem of recognition of handwritten character patterns of varying shapes and sizes, selection of a proper feature set is important to achieve high recognition…