Concept

Multistage sampling

Related lectures (6)

Introduces BlinkDB, a framework for approximate query processing using sampling techniques.

Covers the inconsistency in estimates due to endogeneity and introduces the BLP and Control-Function estimation methods.

Illustrates sampling strategies with simple random and stratified sampling on a 1000K population.

Explores stratified sampling, dividing a population into subgroups for more accurate sampling.

Introduces BlinkDB, a framework for approximate query processing using data samples to provide fast answers.

Explores research process, variable types, causality vs correlation, and sampling strategies.