Bayesian Inference in Survey Sampling

The students would be exposed to the advanced concepts of Bayesian Inference in Survey Sampling.

 

  • 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.