# Sequential Unequal Probability Sampling For Stream Population

arXiv: https://arxiv.org/abs/2111.08433 · HTML: https://mlsanity.com/paper/2111.08433/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Nov 2021.

## Built on by (most cited first, 1 of 1)

- [A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement](https://mlsanity.com/paper/2507.14200/) (2025)

## Abstract (arXiv)

A new unequal probability sampling method is proposed. This method is sequential. The decision to select or not each unit is made based on the order in which the units appear. A variant of this method allows selecting a sample from a stream. At each step, the decision to take the units successively according to the order of appearance in the stream is made. This method involves using a sliding window that is as small as possible. The method also allows the sample to be spread and even the level of spreading to be adjusted.