Subhashis Ghosal

Orcid: 0000-0002-1710-9761

According to our database1, Subhashis Ghosal authored at least 15 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Regression-based Bayesian estimation and structure learning for nonparanormal graphical models.
Stat. Anal. Data Min., 2022

Optimal Bayesian smoothing of functional observations over a large graph.
J. Multivar. Anal., 2022

2021
Bayesian multivariate quantile regression using Dependent Dirichlet Process prior.
J. Multivar. Anal., 2021

2020
Bayesian Semi-supervised learning under nonparanormality.
CoRR, 2020

2019
Bayesian Semiparametric ROC surface estimation under verification bias.
Comput. Stat. Data Anal., 2019

2018
Bayesian non-parametric simultaneous quantile regression for complete and grid data.
Comput. Stat. Data Anal., 2018

2017
Bayesian inference for higher-order ordinary differential equation models.
J. Multivar. Anal., 2017

Bayesian quantile regression using random B-spline series prior.
Comput. Stat. Data Anal., 2017

2015
Fast Translation Invariant Multiscale Image Denoising.
IEEE Trans. Image Process., 2015

Bayesian structure learning in graphical models.
J. Multivar. Anal., 2015

2014
Fast Bayesian model assessment for nonparametric additive regression.
Comput. Stat. Data Anal., 2014

2013
Denoising three-dimensional and colored images using a Bayesian multi-scale model for photon counts.
Signal Process., 2013

Iterative selection using orthogonal regression techniques.
Stat. Anal. Data Min., 2013

2010
The L<sub>1</sub>-consistency of Dirichlet mixtures in multivariate Bayesian density estimation.
J. Multivar. Anal., 2010

2007
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities.
Comput. Stat. Data Anal., 2007


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