116 citations · 1.2k across the 79 of their papers we have counts for
9 papers · 1 filter
Deconvolving the Wedge: Maximum-Likelihood Power Spectra via Spherical-Wave Visibility Modeling
Abhik Ghosh, Florent Mertens, Leon V. E. Koopmans
Direct detection of the Epoch of Reionization (EoR) via the red-shifted 21-cm line will have unprecedented implications on the study of structure formation in the infant Universe.…
Robust Wald-Type Tests under Random Censoring with Applications to Clinical Trial Analyses
Abhik Ghosh, Ayanendranath Basu, Leandro Pardo
Randomly censored survival data are frequently encountered in applied sciences including biomedical or reliability applications and clinical trial analyses. Testing the significanc…
General Robust Bayes Pseudo-Posterior: Exponential Convergence results with Applications
Abhik Ghosh, Tuhin Majumder, Ayanendranath Basu
Although Bayesian inference is an immensely popular paradigm among a large segment of scientists including statisticians, most applications consider objective priors and need criti…
Robust Wald-type tests for non-homogeneous observations based on minimum density power divergence estimator
Ayanendranath Basu, Abhik Ghosh, Nirian Martin +1
This paper considers the problem of robust hypothesis testing under non-identically distributed data. We propose Wald-type tests for both simple and composite hypothesis for indepe…
Validating a novel angular power spectrum estimator using simulated low frequency radio-interferometric data
Samir Choudhuri, Nirupam Roy, Somnath Bharadwaj +3
The "Tapered Gridded Estimator" (TGE) is a novel way to directly estimate the angular power spectrum from radio-interferometric visibility data that reduces the computation by effi…
Robust Inference under the Beta Regression Model with Application to Health Care Studies
Abhik Ghosh
Data on rates, percentages or proportions arise frequently in many different applied disciplines like medical biology, health care, psychology and several others. In this paper, we…
New robust statistical procedures for polytomous logistic regression models
E. Castilla, A. Ghosh, N. Martín +1
This paper derives a new family of estimators, namely the minimum density power divergence estimators, as a robust generalization of the maximum likelihood estimator for the polyto…
A new class of robust two-sample Wald-type tests
Abhik Ghosh, Nirian Martin, Ayanendranath Basu +1
Parametric hypothesis testing associated with two independent samples arises frequently in several applications in biology, medical sciences, epidemiology, reliability and many mor…
Improvements in the Small Sample Efficiency of the Minimum -Divergence Estimators under Discrete Models
Abhik Ghosh, Ayanendranath Basu
This paper considers the problem of inliers and empty cells and the resulting issue of relative inefficiency in estimation under pure samples from a discrete population when the sa…