This repository contains a prototype implementation of the optimal sampling algorithms from: Feras A. Saad, Cameron E. Freer, Martin C. Rinard, and Vikash K. Mansinghka. Optimal Approximate Sampling ...

Yves Tillé, Matthieu Wilhelm, Probability Sampling Designs: Principles for Choice of Design and Balancing, Statistical Science, Vol. 32, No. 2 (May 2017), pp. 176-189 ...

We provide a new method of Path Sampling (with Small Change) that works much better than standard Path Sampling in the sense of estimating the Bayes factor better and choosing the correct model more ...

Convenience sampling (sometimes known as availability sampling) is a specific type of non-probability sampling technique that relies on data collection from population members who are conveniently ...

Comparison of probability (simple random sampling) and non-probability sampling (convenience sampling) methods. R code for simulating a convenient sample, simple random sample, and compare bias and ...