Zobrazeno 1 - 10
of 343
pro vyhledávání: '"Malay Ghosh"'
Publikováno v:
Stats, Vol 5, Iss 3, Pp 673-688 (2022)
It is now widely recognized that small area estimation (SAE) needs to be model-based. Global-local (GL) shrinkage priors for random effects are important in sparse situations where many areas’ level effects do not have a significant impact on the r
Externí odkaz:
https://doaj.org/article/23a8e619618342e5ae92046cdcac7289
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e76527 (2013)
The role of p27(kip1) in Chronic Myeloid Leukemia (CML) has been well studied in relation to its function as a cell cycle inhibitor. However, its cytoplasmic function especially in CML remains to be seen. We studied the localization of p27(kip1) and
Externí odkaz:
https://doaj.org/article/64d50bcf1f6b43b1a7593a0c184b6734
Autor:
Kshitij Khare, Malay Ghosh
Publikováno v:
Journal of Quantitative Economics. 20:211-234
Publikováno v:
Statistica Sinica.
Publikováno v:
Communications in Statistics - Theory and Methods. :1-20
Linear regression models which account for skewed error distributions with fat tails have been previously studied. These two important features, skewness, and fat tails, are often observed in real data analyses. Covariates measured with an error also
Autor:
Kelly C. M. Gonçalves, Malay Ghosh
Publikováno v:
Brazilian Journal of Probability and Statistics. 36
Autor:
Xiao Fang, Malay Ghosh
We study full Bayesian procedures for high-dimensional linear regression. We adopt data-dependent empirical priors introduced in [1]. In their paper, these priors have nice posterior contraction properties and are easy to compute. Our paper extend th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99c9d151a0c795d411137c269ab97f2b
Autor:
Malay Ghosh
Publikováno v:
International Journal of Psychosocial Rehabilitation. 24:6792-6798
Publikováno v:
Sankhya A. 82:330-352
The Stein phenomenon is a path-breaking discovery in mathematical statistics in the last century. A large number of researchers followed Stein’s footsteps and developed a wide variety of minimax shrinkage point estimators of a multivariate normal m
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 82:155-174
Summary We propose a Bayesian empirical likelihood approach to survey data analysis on a vector of finite population parameters defined through estimating equations. Our method allows overidentified estimating equation systems and is applicable to bo