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A. Bhadra

33 papers hereh-index 191.9k citations89 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author10
  • middle author7
  • last author13

Across the 32 of 33 papers where every author was matched, so the position is known.

fields
  • stat.ME19
  • math.ST7
  • stat.ML5
  • astro-ph1
  • stat.AP1
same name
  • A. Bhadra — 52 papers, h 18
  • A. Bhadra — 32 papers, h 25
  • A. Bhadra — 3 papers, h 4
  • A. Bhadra — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062026
most citedIterated filtering

115 citations · 172 across the 29 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

stat.ME2022

SURE-tuned Bridge Regression

Jorge Loría, Anindya Bhadra

Consider the {ℓα​} regularized linear regression, also termed Bridge regression. For α∈(0,1), Bridge regression enjoys several statistical properties of interest such as…

stat.ME2022

Bayesian Covariate-Dependent Quantile Directed Acyclic Graphical Models for Individualized Inference

Ksheera Sagar, Yang Ni, Veerabhadran Baladandayuthapani +1

We propose an approach termed ``qDAGx'' for Bayesian covariate-dependent quantile directed acyclic graphs (DAGs) where these DAGs are individualized, in the sense that they depend…

stat.ME2022★ 3 cited

A Laplace Mixture Representation of the Horseshoe and Some Implications

Ksheera Sagar, Anindya Bhadra

The horseshoe prior, defined as a half Cauchy scale mixture of normal, provides a state of the art approach to Bayesian sparse signal recovery. We provide a new representation of t…

stat.ME2022

Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix

Anindya Bhadra, Ksheera Sagar, David Rowe +2

Marginal likelihood, also known as model evidence, is a fundamental quantity in Bayesian statistics. It is used for model selection using Bayes factors or for empirical Bayes tunin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.