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researcher

S. Ghosh

10 papers hereh-index 7425.8k citations482 works total

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

author position
  • middle author1
  • last author9

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • stat.ME5
  • astro-ph.EP2
  • stat.AP1
  • stat.ML1
  • stat.OT1
same name
  • S. Ghosh — 297 papers, h 0
  • S. Ghosh — 258 papers
  • S. Ghosh — 59 papers, h 44
  • S. Ghosh — 51 papers, h 34
  • S. Ghosh — 49 papers, h 74
  • S. Ghosh — 36 papers, h 20

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
20112021
most citedPredicting exoplanet mass from radius and incident flux: A Bayesian mixture model

6 citations · 7 across the 6 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

stat.ME2019

Data transforming augmentation for heteroscedastic models

Hyungsuk Tak, Kisung You, Sujit K. Ghosh +2

Data augmentation (DA) turns seemingly intractable computational problems into simple ones by augmenting latent missing data. In addition to computational simplicity, it is now wel…

stat.ME2019★ 1 cited

An Unified Semiparametric Approach to Model Lifetime Data with Crossing Survival Curves

Fabio N. Demarqui, Vinicius D. Mayrink, Sujit K. Ghosh

The proportional hazards (PH), proportional odds (PO) and accelerated failure time (AFT) models have been widely used in different applications of survival analysis. Despite their…

stat.ME2019

Probabilistic Detection and Estimation of Conic Sections from Noisy Data

Subharup Guha, Sujit K. Ghosh

Inferring unknown conic sections on the basis of noisy data is a challenging problem with applications in computer vision. A major limitation of the currently available methods for…

stat.ME2019

Assessing Biosimilarity using Functional Metrics

Lin Dong, Sujit K. Ghosh

In recent years there have been a lot of interest to test for similarity between biological drug products, commonly known as biologics. Biologics are large and complex molecule dru…

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