DESCRIPTION OF COURSES
AS 668 BAYESIAN INFERENCE IN SURVEY SAMPLING (1L+1P) III
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.
Super population models in sample surveys. Stochastic parameter models. Bayes’ linear predictor, Bayesian models with multi-stage sampling. Measurement error and small area estimation.
Time series approach in survey sampling. Dynamic Bayesian prediction, Kalman filter, empirical and hierarchical Bayes predictors. Robust linear prediction, Bayesian robustness.
Stochastic parameter models, Bayes’ linear predictor, Kalman filter, Empirical and Hierarchical Bayes predictors, Robust linear prediction.