Online papersView CV
- Sparse Bayesian additive nonparametric regression with application to health effects and pesticides mixtures (with Ran Wei, Brian Reich and Jane Hoppin), along with Supplementary material. Statistica Sinica, Vol 30, 55--79.
- Bayesian linear regression for multivariate responses under group sparsity (with Bo Ning and Seonghyun Jeong). Bernoulli, Vol 26, No 3, 2353--2382. Official link.
- Contraction properties of shrinkage priors in logistic regression (with Ran Wei). Journal of Statistical Planning and Inference, Vol 207, 215--229, official link.
- Bayesian nonparametric estimation of ROC surface under verification bias (with Rui Zhu). Statistics in Medicine, Vol 38, 2330--2358. Official link Supplementary material
- Bayesian inference in nonparanormal graphical models
(with Jami Jackson Mulgrave). Winner of
ASA-SBSS student paper award. Bayesian Analysis, Vol 15, No 2, 449--475. Supplementary material
- Posterior contraction and credible sets for filaments of regression functions (with Wei Li). Electronic Journal of Statistics, Vol 14, No 1, 1707--1743.
- Bayesian nonparametric estimation of ROC surface under verification bias (with Rui Zhu). Statistics in Medicine, Vol 38, 2330--2358. Supplementary material
- Bayesian analysis of mixed effect regression models driven by ordinary differential equations (with Qianwen Tan). Invited paper for Sankhya, Series B, Special volume in honor of J K Ghosh, 2019. Official link.
modeling of the structural connectome for studying Alzheimer disease
(with Arkaprava Roy, J. Prescott and K. Roy Choudhury). Annals of Applied Statistics, Vol 13, 1791-1816, official link originally appeared as arXiv:1710.04560
method for causal inference in spatially-correlated multivariate time
series (with Bo Ning and Jewel Thomas). Bayesian
Analysis, Vol 14, 1--28. official link
ROC surface estimation under verification bias (with Rui Zhu).
Computational Statistics and Data Analysis, Vol 133, 40-52, official link. arXiv:1803.06735
- Ghosh, Jayanta Kumar (with Sumitra Purkayastha and R. V. Ramamoorthi). In
Wiley StatsRef: Statistics Reference Online (eds N. Balakrishnan, T.
Colton, B. Everitt, W. Piegorsch, F. Ruggeri and J. L. Teugels). doi:10.1002/9781118445112.stat08193 Official link
Gaussian network structure learning (with Xingqi Du). Journal of
Statistical Planning and Inference. Vol 199, pages 327-342 (March
2019) Official link
contraction and credible sets for multivariate regression mode with
two-stage improvement (with William Weimin Yoo). R-code Bernoulli, Vol 25, 2330--2358. Official link
- Bayesian classification of multiclass functional data (with Xiuqi Li). Electronic Journal of Statistics, Vol 12, 4669--4996. official link
- Bayesian nonparametric simultaneous quantile regression for
complete and grid data and supplementary material (with Priyam Das). Computational
Statistics and Data Analysis, Vol 127, 172--186. originally appeared as arXiv preprint arXiv:1612:00111, Download code
- Bayesian discriminant analysis using many predictors
(with Xingqi Du). Invited paper in PC
Mahalanobis special volume, Sankhya, The Indian Journal of Statistics,
Series A, vol 80(1), 112--145.
- Posterior contraction rates of density derivative estimation
(with Weining Shen). Sankhya, The Indian Journal of Statistics, Series
A, Vol 79, No. 2, 336--354 (invited paper in Special Volume on
Concentration Inequalities), official link.
detection of image boundaries (with Meng Li). Annals of Statistics. Vol 45, No 5, 2190--2217, official link arXiv 1508.05847, software
- Bayesian estimation
of principal components for functional data (with Adam
Suarez). Bayesian Analysis Vol 12, 311--333.
inference for higher order differential equation models (with
Prithwish Bhaumik). Journal of Multivariate Analysis, Vol. 157, 103--114, offcial link arXiv:15015.04242
of ``Should we sample a time series more frequently?: decision support
via multirate spectrum estimation'' by G. Nason, B. Powell, D.
Elliott and P. A. Smith (with Anindya Roy). Journal of the Royal
Statistical Society, Series A, 180, 393--394. official link
ozone concentration by Bayesian spatio-temporal quantile regression
(with Priyam Das). Environmetrics, Vol. 28, No. 4, official link arXiv:1609:04843
Bayesian estimation and uncertainty quantification in ordinary
differential equation models (with Prithwish Bhaumik). Bernoulli, Vol. 23, 3537--3570. official link arXiv:1411.1166
cost analysis associated with recurrent episodic illnesses in presence
of terminal events (with R. Sundaram and L. Ma). International Journal of Biostatistics, Vol 13, Official link
of ``Sparse graphs using exchangeable random measures'' by Francois
Caron and Emily Fox (with Sayantan Banerjee), Vol 79, 1343. Official link
quantile regression using random B-spline series prior (with
Priyam Das). Computational Statistics and Data Analysis, Vol 109, 121-143. Official link
- Editorial overview: Special issue on Bayesian nonparametrics. Electronic Journal of Statistics, Vol 10, 3217-3218.
- Forward selection
and estimation in high dimensional single index model (with
Shikai Luo). Statistical Methodology, vol 33, 172-179. Official link
- Sparse Penalized
Forward Selection for Support Vector Classfication
(with Bradley Turnbull, Hao Helen Zhang and Wookyeon Hwang). Journal of
Computational and Graphical Statistics, Vol 25, 493--514. Official
link Download code
Bayesian density regression for high dimesnional data (with
Weining Shen), Bernoulli, Vol 22, 396--420, 2016. Official
translation invariant multiscale image denoising (with Meng
Li). IEEE Transactions on Image Processing, Vol 24,
two-step estimation in differential equation models (with
Prithwish Bhaumik). Electronic Journal of Statistics, Vol 9, No 2,
Bayesian procedures using random series prior (with Weining
Shen). Scandinavian Journal of Statistics, Vol 42, 1194-1213. official
of "Frequentist coverage of adaptive nonparametric Bayesian credible
sets" by Szabo, van der Vaart and van Zanten, Annals of Statistics, Vol
43, 1455--1462, official
consistency of forward iterated regression and selection technique
(with Shikai Luo). Statistics and Probability Letters, Vol 107,
structure learning in graphical models (with Sayantan
Banerjee). Journal of Multivariate Analysis, Vol 136, pages 147-162. Official link.
testing approaches for removing background noise from images
(with J. T. White). In "Topics in NonParametric Statistics"
(M. Akritas, S. N. Lahiri, and D. Politis, eds.), pages 95-104,
SpringerProceedings in Mathematics and Statstics, Vol 74.
variable selection in generalized additive partial linear models
(with Sayantan Banerjee). STAT, Dec 2014, online. Official link.
ROC curve estimation under verification bias (with Jiezhun Gu
and David Kleiner). Statistics in Medicine, Vol 33,
convergence rates for estimating large precision matrices using
graphical models (with Sayantan Banerjee). Electronic Journal
of Statistics, Vol 8, 2111--2137.
Bayesian model assessment for nonparametric additive regression
McKay Curtis and Sayantan Banerjee). Computational Statistics and Data
Analysis, Vol 71, pp. 347-358, March 2014.
multiscale smoothing of Gaussian noised images (with Meng
Li). Bayesian Analysis 9, 733--758, 2014. Toolbox (2D,3D).
skew-mixture models for estimation of positive false discovery rates
(with G. Bean, E. DeRose, L. Mercer, L. Thayer and A. Roy). Statistical
Methodology, Vol. 10, pages 46-57, 2013.
Bayesian multivariate density estimation with Dirichlet mixtures
(with Weining Shen and Surya T. Tokdar). Biometrika, Vol 100, pages
three-dimensional and colored images using a Bayesian multi-scale model
photon counts (with J. T. White). Signal Processing, Vol 93,
pages 2906-2914, 2013. Code
- Iterative selection
using orthogonal regression techniques (with Bradley Turnbull
and Hao Helen Zhang). Statistical Analysis and Data Mining,
Vol 6, pages 557-564. Download
code and instruction
smoothing of photon limited images with applications in astronomy
(with J. T. White). Journal of the Royal Statistical Society, Series B,
Vol. 73, pages 579-599, 2011.
of the proportion of null hypothesis in mixture models for p-value
distribution Electronic Journal of Statistics Vol 5, pages
discovery proportion under dependence (with A. Roy). Journal
American Statistical Association, Vol. 106, pages 1208--1218, 2011.
- Discussion of Integrated
objective Bayesian estimation and hypothesis testing by J. M.
Bernardo, in Bayesian Statistics 9, (Bernardo et al, eds.) Oxford
priors for exponential families with increasing dimension
Clarke). Electronic Journal of Statistics, Vol. 4, pages 737-780, 2010.
L_1-consistency of Dirichlet mixtures in multivariate density estimation
Wu). Journal of Multivariate Analysis, Vol. 101, pages 2411-2419, 2010.
process, related priors and posterior asymptotics. In
Nonparametrics, (N. L. Hjort et al., eds.), pages 36-83, Cambridge
Combining forward selection and shrinkage in high dimensional linear
regression (with W. Hwang and H. Zhang). Statistics and its
Vol. 2, pages 341-348, 2009. Download code and
regression using Dirichlet mixtures (with C. Kang). In
in Multivariate Statistical Methods’’ (A. Sengupta, ed.), World
Publishing Company, Singapore, pages 305-325, 2009. A shorter version
this paper appears in the JSM Proceedings, 2007, Section on
nonparametric approach to multiple testing (with A. Roy), In
``Perspective in Mathematical Sciences I’’ (N. S. N. Sastry et al.,
World Scientific Publishing Company, Singapore, 2009, pages 139-164.
properties of sequential Bayesian D-optimal designs (with A.
and W. F. Rosenberger). Journal of Statistical Planning and Inference,
Journal of Statistical Planning and Inference, Vol. 139, pages 425—440,
consistency for some semiparametric problems (with Y. Wu).
Sankhya, the Indian Journal of Statistics, Ser. A, (Invited paper) Vol.
pages 267-313, 2008.
Leibler property of kernel mixture priors in Bayesian density estimation
(with Y. Wu). Electronic Journal of Statistics, Vol 2, 298--331, 2008.Correction
, Electronic Journal of Statistics, Vol 3, pages 316-317,
Bayesian model selection and averaging (with J. Lember and A.
W. van der
Vaart). Electronic Journal of Statistics, Vol 2, 63--89, 2008.
ROC curve estimation under binormality using a rank likelihood
Gu). Journal of Statistical Planning and Inference. Vol. 139, pages
2076--2083, 2008. MATAB
approximations for resample quantile process and applications to ROC
methodology (with J. Gu). Journal of Nonparametric
20, pages 229—240, 2008. See also the full technical
report version of the paper.
estimation of ROC curve (with J. Gu and A. Roy). Statistics
Medicine, Vol. 27, 5407—5420, 2008.
K. Ghosh's contribution to statistics: A brief outline (with
Clarke). Editorial article in IMS Collection - Volume 3: Pushing the
of Contemporary Statistics: Contributions in honor of Professor Jayanta
Ghosh, pages 1—18, 2008. Check the cover
page and the table
contents of this volume.
consistency of Dirichlet mixtures of beta densities in estimating
false discovery rates (with A. Roy and Y. Tang). Invited
paper in IMS
Collection - Volume 1: Beyond Parametrics in Interdisciplinary
Festschrift in honor of Professor Pranab K. Sen, pages 105—115, 2008.
Bayesian estimation of positive false discovery rates (with
Y. Tang and
A. Roy). Biometrics, Vol 63, pages 1126--1134.
consistent nonparametric Bayesian procedure for estimating
conditional densities (with Y. Tang). Computational
Statistics and Data
Analysis, Vol 51, 4424-4437.
rates of posterior distributions for noniid observations
(with A. W. van
der Vaart). Annals of Statistics, Vol 35, No. 1, 192--223.
consistency of Dirichlet mixtures for estimating a transition density
(with Yongqiang Tang). Journal of Statistical Planning and Inference
137, 1711--1726, 2007.
convergence rates of Dirichlet mixtures at smooth densities
(with A. W.
van der Vaart). Annals of Statistics, Vol 35, No. 2, 697--723.
binary regression using a Gaussian process prior (with N.
and A. Roy). Statistical Methodology Vol 4, 227-243.
Bayesian adaptation (with J. Lember and A. W. van der Vaart).
Applicanadae Mathematica, vol 79, No 1/2, pp. 165--175, 2003.
discussion of ``A Nonparametric Bayesian Approach to Inverse Problems''
by R. L. Wolpert, K. Ickstadt and M. B. Hansen. In ``Bayesian
Vol. 7, (J. M. Bernardo et al., eds.), Oxford University Press, pp.
``New Tools for Consistency in Bayesian Nonparametrics'' by
(with A. W. van der Vaart). In ``Bayesian Statistics'' Vol. 7 (J. M.
Bernardo et al., eds.), Oxford University Press, pp. 369--384, 2003.
Bayesian inference on the mean of an infinite dimensional normal
distribution. (with E. Belitser). Annals of Statistics, vol
31, No 2,
pp. 536--559, 2003.
consistency for semiparametric regression problems. (with M.
Amewou-Atisso, J. K. Ghosh and R. V. Ramamoorthi). Bernoulli, vol 9, No
pp. 291-312, 2003.
Monotonicity of Regression. (with Arusharka Sen and A. W. van
Annals of Statistics, vol 28, No. 4, pp. 1054--1082, 2000.
of posterior distributions. (with J. K. Ghosh and A. W. van
Annals of Statistics, vol 28, No. 2, pp. 500--531, 2000.
normality of posterior distributions for exponential families with many
parameters. Journal of Multivariate Analysis, vol 74, pp.
matching priors for non-regular cases. Biometrika, vol. 86,
consistency of Dirichlet mixtures in density estimation.
(with J. K.
Ghosh and R. V. Ramamoorthi) Annals of Statistics, vol. 27, No. 1, pp.
semiparametric Bayesian inference about a location parameter.
K. Ghosh and R. V. Ramamoorthi) Journal of Statistical Planning and
Inference, Vol 77, No. 2, pp. 181--193, 1999.
normality of posterior distributions in high dimensional linear models.
Bernoulli, Vol. 5, No. 2, pp. 315--331, 1999.
issues in Bayesian nonparametrics (with J. K. Ghosh and R. V.
Ramamoorthi). In ``Asymptotics, Nonparametrics and Time Series: A
Madan Lal Puri'' (Subir Ghosh, Ed.), Marcel Dekker, Inc. pp. 639--667,
the posterior distribution in a change point problem. (with
J. K. Ghosh
and T. Samanta). Annals of the Institute of Statistical Mathematics,
51, No. 3, pp. 479--497, 1999.
approximation to the posterior distribution for generalized linear
with many covariates. Mathematical Methods of Statistics,
vol. 6, No. 3,
pp. 332--348, 1997.
prior in multiparameter nonregular cases. Test, Vol. 6, No.
Bayes risk for entropy loss and reference prior in nonregular cases
(with T. Samanta). Statistics and Decisions, Vol. 15, pp. 129--140,
expansions of posterior distributions in nonregular cases.
Samanta). Annals of the Institute of Mathematical Statistics, vol. 49,
1, pp. 181--197, 1997.
extensions of an inequality of Kolmogorov (with T. K.
Statistical Association Bulletin, Vol 47, No. 185--186, pp. 1--9, 1997.
priors via sieves and packing numbers (with J. K. Ghosh and
Ramamoorthi). In Advances in Statistical Decision Theory and
(S. Panchapakesan and N. Balakrishnan, Eds.), pp. 119--132, Birkhauser,
convergence of posterior in non-regular problems. (with J. K.
T. Samanta). In Statistical Decision Theory and Related Fields V (S. S.
Gupta and J. O. Berger, eds.), pp. 183--199, 1994.
Borel-Cantelli lemmas. (with T. K. Chandra). In Essays on
and Statistics, Festschrift in honour of Professor Anil Kumar
(S. P. Mukherjee et al. (eds.)), Department of Statistics, Presidency
College, Calcutta, pp. 231--239, 1994.
Questions or comments to: Subhashis Ghosal email@example.com
Back to my home