44 citations · 53 across the 21 of their papers we have counts for
23 papers
Topological Learning under Sparsity through Huberized Distance Functionals
Tuhin Subhra Mahato, Subhra Sankar Dhar
Learning topological structure from sparsely contaminated data requires robust statistical methods, as even a small fraction of atypical observations can substantially distort the…
Modeling of Pneumococcal and Respiratory Syncytial Virus Pneumonia: An Epidemiological Review, with Statistical Inference
Rupchand Sutradhar, Anuj Mishra, Malay Banerjee +1
Infectious diseases continue to pose significant public health challenges worldwide, requiring effective prevention and control strategies to mitigate their negative impact. Infect…
Identifying Topological Differences in Two Populations of Random Geometric Objects
Satish Kumar, Subhra Sankar Dhar
We propose a statistical framework to identify topological differences in two populations of random geometric objects. The proposed framework involves first associating a topologic…
A Robust Persistent Homology : Trimming Approach
Tuhin Subhra Mahato, Subhra Sankar Dhar
This article studies the robust version of persistent homology based on trimming methodology to capture the geometric feature through support of the data in presence of outliers. P…
Least Square Estimation: SDEs Perturbed by Lévy Noise with Sparse Sample Paths
Brijesh Kumar Jha, Subhra Sankar Dhar, Akash Ashirbad Panda
This article investigates the least squares estimators (LSE) for the unknown parameters in stochastic differential equations (SDEs) that are affected by Lévy noise, particularly wh…
Statistical estimation of : varying choices over dimensions
Syon Bhattacharjee, Subhra Sankar Dhar
This article studies statistical estimation of based on the fact that the ratio of the volumes of a -dimensional hypersphere and a -dimensional hypercube is a certain fun…
Estimation of time-varying recovery and death rates from epidemiological data: A new approach
Samiran Ghosh, Malay Banerjee, Subhra Sankar Dhar +1
The time-to-recovery or time-to-death for various infectious diseases can vary significantly among individuals, influenced by several factors such as demographic differences, immun…
Operator on Operator Regression in Quantum Probability
Suprio Bhar, Subhra Sankar Dhar, Soumalya Joardar
This article introduces operator on operator regression in quantum probability. Here in the regression model, the response and the independent variables are certain operator valued…
Identifying arbitrary transformation between the slopes in scalar-on-function regression
Pratim Guha Niyogi, Subhra Sankar Dhar
In this article, we study whether the slope functions of two scalar-on-function regression models in two samples are associated with any arbitrary transformation along the vertical…
L-Estimation Approach to Tobit Models with Endogeneity and Weakly Dependent Errors
Swati Shukla, Subhra Sankar Dhar, Shalabh
This article introduces an L-estimator for the semiparametric Tobit model with endogenous regressors. The estimation procedure follows a two-stage approach: the first stage employs…
Generalized M-Estimation in Censored Regression Model under Endogeneity
Swati Shukla, Subhra Sankar Dhar, Shalabh
We propose and study M-estimation to estimate the parameters in the censored regression model in the presence of endogeneity, i.e., the Tobit model. In the course of this study, we…
A novel characterization of structures in smooth regression curves: from a viewpoint of persistent homology
Satish Kumar, Subhra Sankar Dhar
We characterize structures such as monotonicity, convexity, and modality in smooth regression curves using persistent homology. Persistent homology is a key tool in topological dat…
Co-variance Operator of Banach Valued Random Elements: U-Statistic Approach
Suprio Bhar, Subhra Sankar Dhar
This article proposes a co-variance operator for Banach valued random elements using the concept of -statistic. We then study the asymptotic distribution of the proposed co-vari…
Inspecting discrepancy between multivariate distributions using half-space depth based information criteria
Pratim Guha Niyogi, Subhra Sankar Dhar
This article inspects whether a multivariate distribution is different from a specified distribution or not, and it also tests the equality of two multivariate distributions. In th…
Testing Independence of Infinite Dimensional Random Elements: A Sup-norm Approach
Suprio Bhar, Subhra Sankar Dhar
In this article, we study the test for independence of two random elements and lying in an infinite dimensional space (specifically, a real separable Hilbert sp…
Shift identification in time varying regression quantiles
Subhra Sankar Dhar, Weichi Wu
This article investigates whether time-varying quantile regression curves are the same up to the horizontal shift or not. The errors and the covariates involved in the regression m…
A New Graphical Device and Related Tests for the Shape of Non-parametric Regression Function
Subhra Sankar Dhar, Prashant Jha, Mohammad Arshad Rahman +1
We consider a non-parametric regression model and propose a novel graphical device to check whether the -th () derivative of the regression functio…
The Trimmed Mean in Non-parametric Regression Function Estimation
Subhra Sankar Dhar, Prashant Jha, Prabrisha Rakhshit
This article studies a trimmed version of the Nadaraya-Watson estimator to estimate the unknown non-parametric regression function. The characterization of the estimator through mi…
On Variable Screening in Multiple Nonparametric Regression Model
Subhra Sankar Dhar, Prashant Jha, Aranyak Acharyya
In this article, we study the problem of variable screening in multiple nonparametric regression model. The proposed methodology is based on the fact that the partial derivative of…
Identifying shifts between two regression curves
Holger Dette, Subhra Sankar Dhar, Weichi Wu
This article studies the problem whether two convex (concave) regression functions modelling the relation between a response and covariate in two samples differ by a shift in the h…
A Test for Multivariate Location Parameter in Elliptical Model based on Forward Search Method
Chitradipa Chakraborty, Subhra Sankar Dhar
In this article, we develop a test for multivariate location parameter in elliptical model based on the forward search estimator for a specified scatter matrix. Here, we study the…
On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering
Kajsa Møllersen, Subhra S. Dhar, Fred Godtliebsen
Hybrid clustering combines partitional and hierarchical clustering for computational effectiveness and versatility in cluster shape. In such clustering, a dissimilarity measure pla…
Comparison of multivariate distributions using quantile-quantile plots and related tests
Subhra Sankar Dhar, Biman Chakraborty, Probal Chaudhuri
The univariate quantile-quantile (Q-Q) plot is a well-known graphical tool for examining whether two data sets are generated from the same distribution or not. It is also used to d…