We provide an overview on recent developments for analyzing non-probability survey samples. Inferential frameworks and theoretical results on sample matching and double robust estimation are discussed, and finite sample performances of the estimators are examined through simulation studies.  An application to analyzing a non-probability survey sample from the PEW Research Centre is presented. Some practical issues are also discussed.