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The student will gain an appreciation of the importance of conditional independence in subjective (Bayesian) statistical modeling.

- Prior information.
- Prior distribution.
- Posterior distributions.
- The posterior means.
- Medians (Bayes estimators under loss functions).
- Variances of univariate and bivariate posterior distributions.
- Non-informative priors.
- Methods of elicitation of hyper parameters of informative priors.
- Bayesian Hypotheses Testing: Bayes factor.
- The highest density region.
- Posterior probability of the hypothesis.

Welcome to the Online Public Access Catalog (OPAC). This catalog provides you bibliographic information of print books available in all campus libraries of the University and provides you the facility of 2 types of searches; basic search and advance search to find the exact book or list of books you required.

- Easy access to information due to effective searching.
- Alert messages for patron i.e. overdue items or arrival of new items.
- Patron can suggest books for purchase through this system.
- Patrons can check his circulation history and hold on desired books.
- OPAC brings together library users and staff, as both can see various aspects of the system.