116 citations · 235 across the 13 of their papers we have counts for
27 papers
Strata-based Quantification of Distributional Uncertainty in Socio-Economic Indicators: A Comparative Study of Indian States
Abhik Ghosh, Olivia Mallick, Souvik Chattopadhay +1
This paper reports a comprehensive study of distributional uncertainty in a few socio-economic indicators across the various states of India over the years 2001-2011. We show that…
RaJIVE: Robust Angle Based JIVE for Integrating Noisy Multi-Source Data
Erica Ponzi, Magne Thoresen, Abhik Ghosh
With increasing availability of high dimensional, multi-source data, the identification of joint and data specific patterns of variability has become a subject of interest in many…
Robust Hypothesis Testing and Model Selection for Parametric Proportional Hazard Regression Models
Amarnath Nandy, Abhik Ghosh, Ayanendranath Basu +1
The semi-parametric Cox proportional hazards regression model has been widely used for many years in several applied sciences. However, a fully parametric proportional hazards mode…
On regularization methods based on Rényi's pseudodistances for sparse high-dimensional linear regression models
Elena Castilla, Abhik Ghosh, María Jaenada +1
Several regularization methods have been considered over the last decade for sparse high-dimensional linear regression models, but the most common ones use the least square (quadra…
Interpreting LOFAR 21-cm signal upper limits at z~9.1 in the context of high-z galaxy and reionisation observations
Bradley Greig, Andrei Mesinger, Léon V. E. Koopmans +11
Using the latest upper limits on the 21-cm power spectrum at from the Low Frequency Array (LOFAR), we explore regions of parameter space which are inconsistent with t…
Foreground modelling via Gaussian process regression: an application to HERA data
Abhik Ghosh, Florent Mertens, Gianni Bernardi +70
The key challenge in the observation of the redshifted 21-cm signal from cosmic reionization is its separation from the much brighter foreground emission. Such separation relies on…