Some contributions to bayesian variable selection in linear models based on g-prior / Minerva Mukhopadhyay.
Material type:
TextPublication details: Kolkata : Indian Statistical Institute, 2016.Description: viii, 136 pages ; 28 cmSubject(s): DDC classification: - 000SA.161 23 M953
- Guided by Prof. Tapas Samanta.
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| THESIS | ISI Library, Kolkata | 000SA.161 M953 (Browse shelf(Opens below)) | Available | TH451 |
Total holds: 0
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
| No cover image available | No cover image available | No cover image available | ||||||
| 000SA.161 L481 Structural equation modeling | 000SA.161 L744 Bayesian probability theory : | 000SA.161 M953 New approaches to inferential and computational aspects in a flexible Bayesian mixture framework / | 000SA.161 M953 Some contributions to bayesian variable selection in linear models based on g-prior / | 000SA.161 M958 Bayesian nonparametric data analysis / | 000SA.161 N147 Bayesian networks in R : | 000SA.161 P532 Prior processes and their applications : |
Thesis (Ph. D.)--Indian Statistical Institute, 2016.
Guided by Prof. Tapas Samanta.
There are no comments on this title.
Log in to your account to post a comment.
