DESCRIPTION OF COURSES

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AS 668 BAYESIAN INFERENCE IN SURVEY SAMPLING                                                                               (1L+1P) III

Objective
The students would be exposed to the advanced concepts of Bayesian Inference in Survey Sampling. This course prepares students for undertaking research in this area.

Theory

UNIT I
Super population models in sample surveys. Stochastic parameter models. Bayes’ linear predictor, Bayesian models with multi-stage sampling. Measurement error and small area estimation.

UNIT II
Time series approach in survey sampling. Dynamic Bayesian prediction, Kalman filter, empirical and hierarchical Bayes predictors. Robust linear prediction, Bayesian robustness.

Practicals
Stochastic parameter models, Bayes’ linear predictor, Kalman filter, Empirical and Hierarchical Bayes predictors, Robust linear prediction.

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